Main highlights

NTRIP & Bluetooth Low Energy

First up, NTRIP support has been added in QField unlocking sub-centimeter accuracy position readings without the need for any third-party app. This has long been requested by cadastral surveyors and other professional field workers in need of highly accurate data where being a few centimeters off can have real consequences.

To configure an NTRIP connection, simply connect to an RTK capable GNSS device via Bluetooth, BLE or TCP from the QField settings positioning panel. Once connected, the NTRIP user interface will be visible just below the positioning devices combo box in the same panel.

From there, users can enter their NTRIP caster details and enable the connection. An NTRIP visual indicator has been added at the top of the map canvas positioning information panel overlay to reflect the status of the connection. A blue dot means everything’s working, a glowing orange dot means the connection has stopped receiving correction data, and a gray dot means the connection has turned off.

Moving onto another functionality that walks hand in hand with NTRIP: QField now supports connecting to external GNSS devices via Bluetooth Low Energy (BLE). This means a whole array of GNSS devices can now talk directly to QField on iOS as well, simplifying workflows for field surveyors working on this platform. While the benefit is most visible on iOS as QField previously lacked the ability to talk through Bluetooth altogether on that platform, BLE connections are also available on Android, Windows, and Linux. In many cases, it can offer a more stable connection.

The development of these fantastic features was supported by two QField hardware partners: HappySurvey and ArduSimple. Their support meant we were able to focus on getting the best possible experience running on their devices. Other hardware will definitively work out of the box too, and we’d love to hear about your experiences. However, since we are dealing with functionalities that are often driven by vendor-specific commands and UUIDs, there’s plenty of room to grow when it comes to compatibility. So if you’re a hardware vendor, feel free to reach out, join our certified hardware program and support QField’s growth! :)

Moving on to another noteworthy newly-added functionalities.

Feature form improvements

Starting with QField 4.2, the feature form includes a new gallery editor which shows previews of image, video, and audio content from relationships where the child layer has one or more attachment attributes. It will turn itself on automatically whenever QField detects this setup. The gallery editor also offers a quick snap button allowing for a much faster workflow around photo and video capture. And yes, we’ve updated our notes layer to support this when creating projects using QField.

Another feature form improvement is a wizard mode, which turns a complex set of tabs into a simple, linear flow guided by next and previous buttons that respond to constraints. driven by an easy to use pair of next and previous buttons that are reacting to constraints. The wizard mode is a per-project setting that can be enabled when setting up projects in QGIS. Simply make sure QFieldSync is installed to see the configuration panel in the project properties dialog.

Feature identification in 3D, and more

Users enjoying QField’s recent addition of 3D views will be delighted by what’s coming next. Feature identification by tapping on the terrain in 3D map views is now possible. This removes the need to switch back and forth between 2D and 3D to do attribute editing or getting more information on a nearby point of interest during 3D-enhanced hikes through your favorite national park.

There are countless more improvements that would transform this announcement into a full on essay ;) to highlight a few more:

• A new project information popup accessible via the side dashboard displays crucial project metadata such as the title, the abstract description, and the author(s).

• The features list now reflects attribute table’s row conditional styling configured in QGIS, providing a nice way to add visual hints to make features in need of attention pop out in the list;

• Audio attachments now show a level preview that helps identify key parts of a clip during playback.

• Lines and polygons digitized using a stylus in freehand mode are now smoother with cleaner geometries containing fewer redundant vertices; and

As always, the full changelog is available over here for even more goodies.

A flood of QFieldCloud improvements

This new version of QField is packed with QFieldCloud improvements. The biggest one is the retirement of the cloud projects ‘community’ tab in favor of a completely revamped – and we believe improved – experience around cloud project searching and filtering. Users can now easily filter projects by organization and teammate ownership as well as by keywords. The new user interface also makes searching through the countless cloud projects that have been made public by authors around the world far more intuitive.

A brand new cloud storage indicator has been added to QField to let users know of their current used and remaining storage size. This will help users keep on top of their storage and provide an early warning when space is about to run out. Upgrades are available for users to keep working on these growing cloud projects that were started using the free community plan .

Beyond that, we’ve been hard at work hunting bugs and increasing the overall stability. We’ve also transformed a number of obscure and intimidating error messages into helpful notifications.

‘Coral Sea’ release name

The Coral Sea stretches across the southwest Pacific, bordered by Australia, Papua New Guinea, Solomon Islands, and Vanuatu. Home to the Great Barrier Reef and some of the most biodiverse coastal ecosystems on the planet, it is also one of the most climate-pressured, with bleaching events and coastal change outpacing many monitoring programs.

Field workers across the region are already responding with QField: mapping seagrass and mangroves for blue carbon conservation with the MACBLUE project , building national environmental monitoring capacity through SPREP’s regional GIS training , running standardized tropical field data collection at the Leibniz Centre for Tropical Marine Research , and driving land cover surveys across 10 Pacific Island nations through Digital Earth Pacific and the maplandscape project .

At OPENGIS.ch, the Coral Sea is a reminder that the places most in need of reliable field data are often the hardest to reach. That is precisely what QField is built for.

Happy field mapping!

Main highlights

3D

This new version of QField comes with a shiny 3D map view, giving users the ability to render their map content on top of a three-dimensional terrain.

Users can rotate the terrain geometry to get a better understanding of elevation profiles, while also adjusting the plane’s extent by panning and zooming with drag and pinch gestures. When the GNSS positioning service is enabled, the user’s current position, as well as ongoing tracking sessions, will be overlaid on top of the 3D terrain geometry.

By default, QField relies on Mapzen Global Terrain tiles to determine terrain elevation. As its name indicates, this is a 30-meter digital elevation model covering the globe and hosted online, which allows QField to render 3D views without any user configuration. But it does not stop there. QField supports additional elevation sources, such as disk-based GeoTIFFs, to work in offline areas. This can be configured when setting up a project by changing the terrain type in QGIS.

COGO operations

Moving on to the next major functionality introduced in this new version: a COGO (Coordinate Geometry) framework to support fieldwork through a set of parameter-driven operations to generate vertices. This has been one of the most requested features by professional land surveyors, so we couldn’t be more excited to deliver it and hear back from our community.

QField 4.1 ships with three COGO tools:

• The XYZ parameters operation generates vertices based on a manually entered pair of X and Y coordinates as well as an optional Z value;
• The distance/angle from point operation generates vertices based on distance and angle values from a given point; and
• The circles’ intersection operation generates vertices at the intersection of two circles, each defined by a point and a radius.

Leveraging QField’s capabilities, a COGO operation’s point parameter can be defined in multiple ways: users can enter values manually or automatically fill in the parameter using either the current GNSS position, the geometry of a pre-existing feature within a point layer, or the coordinate cursor’s location. The latter is super useful when coupled with project snapping.

There’s more

Beyond these two flagship features, this new version contains tons of improvements.

We’re happy to report that the background tracking functionality introduced for Android last year is now available on iOS. Users can now save battery by locking their phone while QField continues to track positions. Upon reopening QField, the collected positions will be written into your project. No Apple will be left behind.

The feature form continued to receive improvements during this development cycle. Starting with this version, Remember Last Value pins are hidden by default. Moving away from an always-shown interface, remember last value pin visibility can now be configured per field. Using the latest QGIS (4.0 and above), users can configure the presence of the pin and whether remembrance should be active by default in the vector layer properties’ attribute form panel.

Position tracking has received a lot of attention during this development cycle focused on optimizations. Tracking is now friendlier to your device battery while user interface responsiveness has been improved when tracking sessions are ongoing. We’ve also spent some time making Bluetooth connections to external GNSS devices even more reliable. If this was an issue for you in the past, give this version a try again.

Finally, something to please our advanced users: QField now offers the ability to tunnel network traffic through a proxy that can be enabled and configured in the settings panel.

‘Barents Sea’ release name

The Barents Sea, a marginal sea of the Arctic Ocean bordered by Norway and Russia, is one of the most ecologically and geopolitically significant water bodies on the planet. Home to some of the world’s largest cod and haddock fisheries, it sustains both marine ecosystems and the livelihoods of coastal communities across the high north. Its waters are a barometer for our changing climate: the Barents Sea is the fastest-warming part of the Arctic, making it a critical area of scientific observation and environmental monitoring. The Nansen Legacy project has been tracking these changes closely (factsheet ).

At OPENGIS.ch, we see the Barents Sea as a powerful symbol of why field data collection matters. Understanding and protecting remote, extreme environments like the Arctic requires tools that are reliable, offline-capable, and built for real-world conditions. That is precisely what QField is designed to deliver.

With QField 4.1 ‘Barents Sea’, we continue building on that mission, bringing new capabilities to field workers, researchers, and environmental stewards wherever their work takes them.

Happy field mapping!

All three plugins have been updated to ship with useful endpoint presets out of the box, and users also have the option to configure their own custom endpoints for more flexibility. To configure endpoints, open QField’s settings panel, navigate to the plugin manager, and click the settings button next to the desired plugin.

Running a public endpoint using one of these services? If you think users would benefit from having your endpoint included in the preset lists, please open a request on the relevant GitHub repositories linked above.

What are these for exactly?

For those not familiar with these plugins, let’s take a minute to review their functionalities.

GeoMapFish Search and OpenStreetMap Nominatim Search plugins offer the ability to integrate online geocoding and spatial feature searches into QField’s top search bar. When activated, these plugins appear in the search bar alongside core search components, with helpful tips on how to trigger searches via these open source services.

The OpenStreetMap Nominatim Search plugin has worldwide coverage and exposes the wealth of OpenStreetMap data through simple geocoded searches such as “pubs in London.”

The GeoMapFish Search plugin has several presets covering localities in Switzerland.

The OSRM Routing plugin initially allowed users to retrieve car routes by long-tapping on the map to set a start point, end point, and optional waypoints. The updated version now supports additional routing profiles for bicycles and pedestrians.

Interested in knowing more about plugins?

QField’s plugin framework continues to grow, with new capabilities added in each new point release. To find out more and begin writing plugins of your own, be sure to visit the dedicated API site which we launched last year to provide an overview, code snippets, and API documentation.

While we work on building a dedicated plugin repository, you can explore the growing collection of plugins on GitHub’s qfield-plugin topic page .

It was incredible to see how present QField was throughout FOSS4G 2025 in Auckland. With around 20 presentations and workshops featuring QField, the conference showcased a wide range of real-world, production-grade use cases across many sectors.

What stood out was not just the number of talks, but how consistently QField was presented as a trusted, operational tool rather than an experiment.

The QField Ecosystem in Practice

QGIS Desktop for project design, analysis, and quality assurance QField for field capture, with offline-first capabilities when connectivity is limited QFieldCloud for real-time synchronization, team coordination, and project management Plugins and APIs for integration into broader organizational systems

This ecosystem approach transforms field data collection from an isolated task into an integrated workflow. It’s the difference between “collecting points” and “running a programme.”

QField Day: A Community Deep Dive

Early in the conference, QField Day brought together practitioners, developers, and decision-makers for a focused exploration of the platform’s capabilities. The day emphasized practical implementation—what’s possible now, and what organizations are already achieving in production environments.

Workshops

Complete Lifecycle Management

The QField & QFieldCloud workshop covered the full data collection cycle: project setup in QGIS Desktop, field deployment with QField, synchronization through QFieldCloud, and integration back into desktop workflows for analysis and quality control. Participants worked through the entire pipeline, from initial design to final deliverables.

Field-to-Analysis Integration

One workshop demonstrated the speed of modern field-to-cloud-to-analysis workflows by using Auckland itself as a live laboratory. Participants collected ground truth data with QField, then fed it directly into machine learning workflows running in Digital Earth Pacific’s Jupyter environment.

Plugin Development

For developers, the plugin authoring workshop signaled platform maturity. QField’s plugin framework—built on QML and JavaScript—enables organizations to extend core functionality for specific operational requirements. Custom forms, specialized integrations, and domain-specific interfaces can be developed to address the edge cases that real field programmes encounter.

Operational Workflows: Digital Earth Pacific

• QField participatory mapping integration into Digital Earth Pacific demonstrated the technical workflow connecting field data collection to analysis infrastructure, using Digital Earth Pacific’s open data cube and Jupyter tooling.
• Identifying Forest Invasive Species in Fiji and Tonga Using Machine Learning showed this workflow in action. Field teams collect confirmed invasive species locations using QField, then train detection models using time-series satellite data, iterating with domain experts and local partners to refine results.

Production Deployments

Conservation Operations

Zero Invasive Predators showed QField and QFieldCloud integrated into operational fieldwork for predator eradication programmes across New Zealand. Planning happens in QGIS, capture in QField, and coordination through QFieldCloud—enabling systematic management of conservation campaigns across remote terrain.

Government-Scale Implementation

Finland’s National Land Survey presented their use of QField as part of national topographic data production infrastructure, deployed alongside QGIS and PostGIS. This represents enterprise validation: a national mapping agency selecting QField for production topographic surveying.

Precision Agriculture

Smart vineyards with QGIS & QField demonstrated advanced symbology, map themes, and structured capture workflows supporting precision agriculture operations—showing that the platform handles the level of detail and complexity that professional workflows require.

Developer Infrastructure and Sustainability

• QFieldCloud API — programmatic integration for organizations with existing systems, enabling automation, custom integrations, and connection to enterprise infrastructure
• Who Pays Your Bills? — a transparent discussion of sustainable open-source business models
• [Re]discover QField[Cloud] — platform maturity often manifests as steady capability growth driven by real field workflows

Context: Open Tools for Public Good

• Mapping the World, Empowering People: QField’s Vision in Practice connected QField’s technical capabilities to public-good outcomes
• Open-source road infrastructure management and digital twin direction demonstrated that open standards and open tooling are increasingly part of serious infrastructure conversations

Looking Forward

FOSS4G 2025 Auckland was all about the conversations, and our small booth quickly became a popular meeting point — the QField caps were gone within half a day. We demonstrated the tight integration of Happy Mini Q GNSS with QField, showing how sub-centimeter positioning can be used seamlessly in real field workflows. The booth also featured EGENIOUSS , an EU project where QField complements GNSS with visual localisation for accurate positioning in challenging environments like urban canyons.

Thank you to everyone who shared your workflows, challenges, and stories — whether in presentations, workshops, or over coffee. These conversations remind us that we’re building tools for real people doing important work, and that’s what keeps this community moving forward together.

Main highlights

One of the most significant feature additions in this new version is right there on the welcome screen: a simple wizard for creating new projects. The wizard guides users through a set of questions covering the desired basemap style and actions such as note taking and position tracking. These projects can be published directly on QFieldCloud , so users can upload images, notes, and tracks that are accessible through web browsers or QGIS using QFieldSync.

The project creation framework also unlocked another feature we’re proud of: on-the-fly conversion of imported projects to cloud projects. The ability to upgrade pre-existing projects to cloud projects means that users can push spatial data and attachments residing on their devices to QFieldCloud and instantly collaborate with coworkers.

On the QFieldCloud front, we’ve done significant code refactoring to make synchronization and attachment uploads even more reliable. Users now see a progress bar showing attachment upload status.

The cloud projects list also lets users push changes and sync projects without opening them first. Indicator badges show whether you have pending local changes or if updates are available from the cloud.

A leaner, clearer, and more focused user interface

Early on in this development cycle, our ninjas decided to make a significant leap forward with QField’s UX focusing on making the user interface leaner when possible, clearer when needed, and more focused throughout.

QField now has a vastly more readable feature form when viewing feature attributes. We’ve also made the interface more consistent by updating all editor widgets to use Qt’s Material style, so comboboxes, text fields, and other elements now have a unified look.

We’ve also simplified the user experience around positioning. The map canvas now has a single positioning button at the bottom right. Click the location marker overlay to reveal a new pie menu with quick access to positioning features: start tracking sessions, copy position to clipboard, show the positioning panel, lock the coordinate cursor to position, lock the map canvas to position, and add bookmarks at your position.

Now when users set accuracy thresholds, tracking sessions and averaged positioning will automatically filter out “bad accuracy” readings.

QField also animates transitions when jumping to your GNSS position, features, or coordinates, making navigation feel smoother and more intuitive.

Wait, there’s more

Beyond these major improvements, QField 4.0 includes tons of new features:

• Multilingual projects - a feature we added to QGIS several years ago - are now supported in QField
• When connected to the internet, QField now displays online legend graphics for WMS and Esri map services, providing crucial context for field users
• Additional feature form widgets are now supported, including the spacer widget and color editor widget, further improving interoperability with QGIS

A complete list of changes is available in the QField release notes on GitHub.

A new release cycle focused on water bodies

With the QField 4.X series, we’re introducing a new naming theme focused on water bodies.

Oceans, rivers, lakes, wetlands, and coastal waters are fundamental to life on Earth. They provide drinking water, support ecosystems and agriculture, regulate climate, and sustain communities worldwide. Yet these vital resources are increasingly under pressure from pollution, overuse, and climate change.

At OPENGIS.ch, we believe that better spatial data leads to better decisions. By making field data collection easier and more accessible, we aim to support those working to understand, protect, and manage these fragile systems. Dedicating this release cycle to water bodies reflects our commitment to using technology responsibly and connects naturally with the United Nations Sustainable Development Goals, which we consistently strive to support through our work.

For the first release in this cycle, we chose a water body of particular significance to QField: Switzerland’s longest river entirely within the country, Aare.

As always, we hope you enjoy this new release.

Happy field mapping!

In recent versions, a series of functionality improvements have had a significant impact on the way QFieldCloud handles storage, and we want to tell the world!

Without further due…

Shared datasets

Starting with version 3.6, QField supports shared datasets. Known in QGIS as “localized data paths”, this allows users to upload a single instance of a given dataset to QFieldCloud and have it embedded within multiple cloud projects.

For large datasets such as satellite imagery or topo basemaps, the benefits include:

• Reduce the time QField users spend downloading large datasets. Once it’s fetched for one cloud project, it’ll remain available for other projects too.
• Reduce storage usage on QFieldCloud as the large datasets will only be stored on the server once.

In other words, whether you are on a free community plan or a paid subscription, you will get more value out of your QFieldCloud storage!

While the main gains are around storage, shared datasets also ease management of projects as read-only datasets such as administrative boundaries can be updated in a single location and have it reflected within all the projects using these datasets.

QField’s growing documentation site covers this functionality in depth, follow the link to learn how to configure your projects with shared datasets .

On-demand attachment download

A new project setting has made its way into QFieldCloud’s web interface : on demand attachment file download. When turned on, QField will defer the download of image, video, audio and other file types until users open a feature form containing such an attachment.

This option can greatly reduce the time spent downloading and synchronizing projects when a large number of attachments is present.

For work in remote areas with poor connectivity, this option should not be used when users require access to attachments while offline.

However, this new behavior is ideal for fieldwork taking place within a well connected area, especially for projects spanning over a long period of time when gigabytes of accumulated attachment can transform project download into a real pain point.

Resumable cloud project download

A nice QFieldCloud quality of life improvement worth highlighting here is the new ability to resume the download of large cloud project files following a connectivity failure. Driving through a tunnel in a train will never force you to lose half of your 1.5 gigabyte geotiff you had been in the process of downloading prior to losing signal! :)

This also means no more wasted bandwidth when connected through expensive internet service providers and mobile networks, which remains an issue in large parts of the world.

Speaking of big files, previously QFieldCloud did not support file sizes larger than 2 gigabytes. We didn’t think people should be held back here so we’ve moved the cap to 8,192 petabytes. Good luck reaching that! ;)

Main highlights

One of the most interesting new functionalities from this development cycle has been the ability to stamp details on photos taken by QField’s in-app camera. A basic version of this has been supported for a while now; this new version offers flexible customisation of details stamping onto photos, including changing the font size, colour, and horizontal position, as well as providing users with the ability to completely change the details via expression-driven templates and add image overlays onto the photo.

The custom details stamping configuration lives within project files, allowing for individual projects to drive styling and details. The configuration interface is provided by QFieldSync and can be found in the project properties dialog by switching to the QField panel when setting up projects in QGIS:

The other significant addition in this release is the new plugin manager’s Available Plugins tab, which offers a curated list of plugins that can easily be installed with a single tap. The list makes it much easier to discover plugin-delivered functionalities such as online routing, geocoding searches, and much more.

The plugin manager can also alert users of available updates for their installed plugins, ensuring that crucial bug fixes and improvements are easily delivered. When a new version is released, users can update via a single tap. We are looking into the possibility of enabling automated plugin upgrades soon.

Long-time users of QField are probably aware of a nifty feature that allowed individual project layers to be locked, and for that lock to be driven by a data-defined property expression. For this new version, we’ve supercharged the layer lock functionality by breaking it down into four distinct vector layer permissions that can be disabled: i) feature addition, ii) attribute editing, iii) geometry editing, and iv) feature deletion. These permissions can be disabled by activating a checkbox or conditionality turned on via a data-defined property expression.

The disabling of permissions using a data-defined property expression allows for interesting scenarios when paired with QField-driven expression context variables such as the user name of a logged-in QFieldCloud account (@cloud_username), GNSS positioning (@gnss_coordinate) and more. Users can easily restrict permissions based on the user interacting with a cloud project, or form advanced geofencing-like rules based on location, time of the day, etc. For more details on available variables, read this page on QField’s growing documentation site .

Improvements all around

As mentioned above, this version focused on polishing preexisting functionality. Noteworthy improvements include:

• support for multiple column display as well as the ability to filter value relation lists;
• support for reversing the sorting order of the relationship editor’s children lists;
• smoother scanning process to discover nearby Bluetooth devices when adding external GNSS devices; and
• support for feature identification against vector tile layers (give that a try with the new OpenStreetMap shortbread vector tiles!).

Finally, life for QFieldCloud users has improved with the support for resuming large file downloads when fetching a cloud project, eliminating the need to restart from scratch after an interruption due to poor connectivity. In addition, users will notice a new notification badge on the top-left main menu button, indicating that a cloud project has pending changes ready to be pushed to the server.

We hope you enjoy this new version as much as we do delivering it to you. Happy field mapping!

🚀 Talks & Presentations

🎊 QGIS.org updates

As Chair of the QGIS.org association, I had the opportunity to share recent updates from the QGIS community. I spoke about ongoing development efforts, community growth, funding initiatives, and collaborations that help keep the project moving forward.
The focus was on the people who make QGIS possible — contributors, sponsors, local user groups, and everyday users — and how their involvement continues to shape the project’s direction and ensure its long-term sustainability.

👉 Slides here (unfortunately keynotes and workshops were not recorded)

💡 Extending QFieldCloud – Ideas and Practical Examples

In this talk, Michael, one of our Full stack GeoNinja and Web Cartography teacher, explained how QFieldCloud can be extended by integrating additional Django apps. This allowed, for example, the generation of QField projects, reacting to events from fieldwork, adding new websites and APIs, and executing entire QGIS models as QFieldCloud jobs.

After a technical introduction, various practical examples were explored. It was shown how OpenStreetMap data can be fully automated to download offline-capable QField projects. Attendees got inspired by how an own WebGIS is brought to life in QFieldCloud using OpenLayers. Furthermore, he demonstrated how remote sensing data can be downloaded, analysed in a QGIS pipeline, and the results made available in QField projects. Finally, the discussion focused on how these capabilities can be optimally used in combination with QField plugins.

🛣️ SIGNALO: An Open-Source Solution for Mapping Road Signs in QGIS

Presented by Denis, our Industry Solution Team Lead, SIGNALO is a QGIS-based solution for mapping road signs, powered by a PostGIS database. It addresses the challenge of representing vertical data on maps while ensuring compliance with Swiss norms, yet remains highly customizable for use at local, regional, or national levels. Moreover, the flexible design allows for easy adaptation to other countries.

In this talk, Denis explored both the technical foundations of the project and the organizational strategies that enable its open-source development.

📱 1.5 Million Reasons to Use QField

In this talk, I shared our vision for the future of QField — the world’s most popular open-source mobile GIS solution. With over 1.4 million downloads and 500,000 active users, QField is making a real difference for fieldwork around the globe.
I spoke about where we’re headed next, what new features are coming, and how we at OPENGIS.ch are working to empower professionals across all sectors with powerful, flexible, and open tools for mobile geospatial workflows.

💧 Standardizing Groundwater Data Collection with QField

We were excited to see Alexandra Nozik from the Leibniz Centre for Tropical Marine Research (ZMT) present her work on a QField project designed to standardize groundwater data collection in remote tropical regions. The setup uses QGIS layers, predefined parameters, and metadata standards to ensure high-quality, consistent field data. Integrated with QFieldCloud, the workflow improves data accuracy, reduces data loss, and enables real-time collaboration. The project will be published on GitHub as a ready-to-use package, supporting reliable and comparable groundwater data collection across the scientific community.

📱 QField and QFieldCloud - seamless fieldwork for QGIS

In this workshop, Zsanett, QField Product Manager, went through the complete fieldwork process: setting up a QGIS project, publishing the project via QFieldCloud, collecting data via the QField mobile app and synchronising the field data back to your main dataset in the office. QField works on top of QGIS and allows users to set up maps and forms in QGIS on their workstation and deploy them in the field. QField uses QGIS’s data providers (OGR, GDAL, PostGIS and others) and supports most common file formats. QField combines a minimal design with sophisticated technology that allows intuitive viewing and editing of data. QField’s map rendering is supported by the QGIS rendering engine, so the results are identical and the full range of styling options available on the desktop is available. Editing forms in QField respect the QGIS configuration and are optimised for touch interaction. QFieldCloud makes field collaboration much easier. Participants learned about configuring users with different rights, collecting offline and online data, and synchronizing field data and QGIS project data.

🚀 Our first international QField Day

On June 4th, the first international QField Day took place in Norrköping, right after the QGIS User Conference. This free half-day event was dedicated to QField, QFieldCloud, and the mobile GIS community, bringing together users, contributors, and developers for an afternoon of field-tested workflows, live demos, community stories, and open discussions. It was a great opportunity to connect, exchange ideas, and explore the future of mobile geospatial tools in the open-source ecosystem.
Definitely not our last one. 💚

🤝 Supporting Open Source

We were proud to support QGIS UC25 in Norrköping, Sweden, as Platinum Sponsors — reaffirming our commitment to the open-source geospatial community and the continued growth of the QGIS ecosystem.

👋 Looking Ahead

We’re already looking forward to the next gathering — QGIS UC26 will take place in Switzerland 🇨🇭!

After the conference, I joined the contributor meeting along with four QGIS developers from OPENGIS.ch. It was a fantastic chance to collaborate in person, help shape the future of QGIS, and reconnect with old friends from the community.

Main highlights

One of the most noticeable improvement in this version is the addition of “map preview rendering”. QField now renders partial map content immediately beyond the edge of the screen, offering a much nicer experience when panning around as well as zooming in and out. Long-time QGIS users will recognise the behaviour, and we’re delighted to bring this experience to the field

This upgrade was the foundation upon which we built the following enhancement: as of QField 3.6, using the “lock to position” mode now keeps your position at the very center of the screen while the canvas slips through smoothly. This greatly improves the usability of the function as your eyes never need to spend time locating the position within the screen: it’s dead center and it stays there!

https://videopress.com/v/kJg69l49?resizeToParent=true&cover=true&preloadContent=metadata&useAverageColor=true

Reminder, the “lock to position” mode is activated by clicking on the bottom-right positioning button, with the button’s background turning blue when the mode is activated.

The improvements did not stop there. Panning and zooming around used to drop users out of the lock mode immediately. While this had its upsides, it also meant that simple scale adjustments to try and view more of the map as it follows the position was not possible. With QField 3.6, the lock has been hardened. Moving the map around will temporarily disable the lock, with a visual countdown embedded within a toast message informs users of when the lock will return. An action button to terminate the lock is located within the toaster to permanently leave the mode.

Moving on to QFieldCloud, this cycle saw tons of improvements. To begin with, it is now possible to rely on shared datasets across multiple cloud projects. Known as localised data paths in QGIS, this functionality enables users to reduce storage usage by storing large datasets in QFieldCloud only once, serving multiple cloud projects, and also easing the maintenance of read-only datasets that require regular updates.

QFieldSync users will see a new checkbox when synchronising their projects, letting them upload shared datasets onto QFieldCloud.

Furthermore, QField has introduced a new cloud project details view to provide additional details on QFieldCloud-hosted projects before downloading them to devices. The new view includes a cloud project thumbnail, more space for richer description text, including interactive hyperlinks, and author details, as well as creation and data update timestamps. Finally, the view offers a QR code, which allows users to scan it quickly and access cloud projects, provided they have the necessary access permission. Distributing a public project has never been easier!

Beyond that, tons more has made its way into QField, including map layer notes viewable through a legend badge in the side dashboard, support for feature identification on online raster layers on compatible WMS and ArcGIS REST servers, atlas printing of a relationship’s child feature directly within the parent feature form, and much more. There’s something for everybody out there.

Focus on feature form polishing

This new version of QField coincides with the release of XLSForm Converter , a new QGIS plugin created by OPENGIS.ch’s very own ninjas. As its title implies, the plugin converts an XLSForm spreadsheet file (.xls, .xlsx, .ods) into a full-fledged QGIS project ready to be used in QField with a pre-configured survey layer matching the content of the provided XLSForm.

This was a golden opportunity to focus on polishing QField’s feature form. As a result, advanced functionalities such as data-driven editable flag and label attribute properties are now supported. In addition, tons of paper-cut bugs, visual inconsistencies, and UX shortcomings have been addressed. Our favourite one might just be the ability to drag the feature addition drawer’s header up and down to toggle its full-screen state :)

Migrating to QField was never easier!

Even more exciting is that the converted QGIS project includes all the necessary settings for use with QField, thanks to a nifty QFieldCloud integration. With just a single checkbox, you can upload your generated project to the cloud and begin gathering data—either as a standalone surveyor or collaboratively as part of a team.

We believe this provides a fantastic solution for organisations and groups familiar with XLSForm—or already working with templates—who want to leverage QGIS-powered QField to conduct spatial surveys.

Plugin highlights

The plugin adds an algorithm to QGIS’ processing toolbox that converts a XLSForm file – Microsoft Excel’s .xls or .xlsx as well as LibreOffice Calc’s .ods – into a QGIS project containing a main survey layer and a basemap.

The layer’s geometry type will reflect the first geometry-driven question type found in the XLSForm, namely a point geometry for geopoint, a line geometry for geotrace, or a polygon geometry for geoshape.

For XLSForm repeat blocks, the algorithm generates additional layers and configures parent-child relationships to bind them to the main survey layer. These layers are hidden from the layer tree by default, keeping the project simple and user-friendly—even for users unfamiliar with QGIS.

For questions that capture media content—such as photographs, videos, and audio clips—the converter sets up the project so users can easily record them in QField with a single tap.

Pro tip: Since the converter is an algorithm, you can use it to build complex, model-driven survey projects via the QGIS Processing Modeler. You can also run conversions in headless environments using qgis_process. The possibilities are endless!

QFieldCloud-facilitated deployment to QField

As mentioned earlier, the converted project can immediately be used in QField to conduct surveying. The best way to deploy these projects to your QField-running devices is via QFieldCloud . The algorithm comes with a parameter that – when checked – will automatically upload the generated project to QFieldCloud.

That functionality requires the QFieldSync plugin to be installed and enabled in QGIS. Just log in to your QFieldCloud account via QFieldSync, and let the algorithm take care of the rest. It’s magical! If you haven’t yet tried QFieldCloud, this might be a good time to do so by signing up for a free community account .

Of course, you’ll always be able to copy these projects manually onto devices via USB cable or the numerous file import options available in QField.

XLSForm-what?

XLSForm is a form standard designed to simplify the authoring of forms using spreadsheet programs like LibreOffice Calc or Microsoft Excel. They are simple to get started with and allow for the authoring of complex forms in no time. The syntax is beginner-friendly, and the building of surveys by adding rows onto a spreadsheet is surprisingly intuitive.

The standard has been widely adopted across various sectors, including public health, humanitarian relief, disaster response, local governance, and non-profit organisations.

Over here at OPENGIS.ch, we believe this plugin can be instrumental to preexisting operations and projects interested in migrating to a QField surveying environment where spatial considerations are front and center. If you are interested in discussing this further, do not hesitate to contact us .

Let’s not beat around the bush: QField has hit 1+ million downloads. What started as an ambitious open-source project has transformed into a global tool that’s changing how professionals collect spatial data in the field. This big milestone is the result of years of dedication, with over 50,000 hours invested by our team. Our GeoNinjas contributed 14% of QGIS, while also driving open-source projects like ModelBaker and SwissLocator.Thank you for making GIS nerds the unsung heroes of fieldwork everywhere. Here’s to changing the world, one field at a time!

🚀 GET QFIELD NOW

From Switzerland to the world!🇨🇭

Born in the Swiss Alps, raised by open-source, and now roaming the globe, QField has gone international! What started in Switzerland is now in the hands of field mappers, researchers, and GIS pros on six continents. Thank you for taking QField worldwide! 🌍

Mapping the world one field at a time.

The numbers tell a story 📖

One million downloads might sound like just a number, but for us, it represents something much bigger. It’s 1'000'000 times someone chose an innovative, flexible mobile mapping solution. It’s 1’000’000 instances of fieldwork made easier, more efficient, and more accurate.

From humble beginnings to over 1 million downloads, QField has officially gone from “little app that could” to “open-source overachiever. ” Thanks to the power of open source (and probably some caffeine).

QField has hit 1 million downloads in over 150 countries.

QField’s top user countries 🏆

QField’s passport is full! 🌍 We’re blown away by how far our geospatial tool has travelled: from mountaintops to city blocks, you’re mapping it all. Our amazing global user community is making QField a true #DigitalPublicGood.A map made in heaven! 💚

Mapping knows no borders, just like QField’s growing community.

More than just an app 📱

This cross-platform flexibility helps professionals collect GIS data anywhere, anytime. QField goes wherever you do. Android? Check. iOS? Check. Desktop? Check. If it has a screen, we’re probably on it. Collect GIS data anywhere, anytime.

QField isn’t just software, it’s a community-driven project that turns complex geospatial challenges into precise, actionable data. Every download represents a connection to our core mission: making professional-grade mobile GIS accessible, reliable, and straightforward.

QField’s Journey: Mapping our milestones 📍

Our roadmap is packed with milestones and highlights that will continue to push the boundaries of mobile GIS.

QField toQFieldCloud ☁️

You can play a key role in the sustainable growth of QField, the open-source digital good. Your support  can take many forms, like contributing… or:

This not only streamlines and enhances your fieldwork but also gives you access to the full QField ecosystem with all its advantages. At the same time, you directly contribute to the continuous improvement of QField, ensuring its impact grows for everyone.

💚 SUPPORT US

🚀 Talks & Presentations

🌍 QField: New Strategy and Application Potential
Berit and Marco presented how QField, with over 1 million downloads and 350,000 active users, is now recognized as Digital Public Good aligned with the UN Sustainable Development Goals. Marco also shared the vision and mission behind QField’s development — highlighting our commitment to empowering field teams across the globe with open, user-friendly tools for data collection.
Real-world stories illustrated how QField helps bridge data gaps to support informed, sustainable decision-making.
👉 View talk

⚙️ QField in Practice: Fieldwork Made Easy
Berit and Michael led an interactive workshop demonstrating how to develop a QField project from scratch. The goal was for each participant to create and sync their own field study project using QFieldCloud, focused on collecting data on flowering plants in the picturesque “Schlussgarten.”
👉 View session

🌐 When Web Meets Desktop
Matthias demonstrated how Django can be used to build consumable geodata layers via OGC API - Features endpoints. His talk covered how to use Python and Django ORM to elegantly define data models and business logic, offering an alternative to complex database logic.
👉 View talk

☁️ Extending QFieldCloud – Ideas and Practical Examples
Michael showed how QFieldCloud can be extended with Django apps, sharing practical implementations such as automated project generation and integration of remote sensing workflows.
👉 View talk

fossgis25-poster-extending-qfc Download

🔌 QField Plugins – Examples and Possibilities
In a lightning talk, Michael introduced useful QField plugins, explained how to install and use them, and explored how they can enhance your mobile GIS workflows.
👉 View talk

🧪 Hands-on qgis-js: Building Interactive QGIS-Based Web Maps
In this practical workshop, Michael guided participants through using qgis-js, an exciting new project that brings QGIS functionality directly into the browser.
👉 View session

💬 QGIS AMA Expert Session
Matthias and Marco hosted a live Q&A session where attendees could ask everything about QGIS development, best practices, organisation and real-world applications.

🤝 At the Booth

Our QField booth was buzzing with activity all week – from plugin demos and project showcases to deep dives into QFieldCloud and field mapping workflows. We had great conversations, received valuable feedback, and met many enthusiastic users.

💚 Supporting Open Source

We were proud to be Platinum Sponsors of FOSSGIS 2025. Supporting open-source events like this is essential for fostering innovation, collaboration, and community-driven growth in the GIS world.

👋 Looking Ahead

Thank you to the organisers, speakers, and everyone who joined us in Münster. We left the event full of ideas, motivation, and appreciation for this community – and we’re already looking forward to the next FOSSGIS!

#QField #QFieldCloud #FOSSGIS2025 #OpenSourceGIS #QGIS #SupportOpenSource

Main highlights

As highlighted above, QField 3.5 has unlocked background position tracking on the Android platform. This allows users to keep track of their positions even as they put QField in the background to conduct other tasks on their devices. It also means that tracking has become far more battery efficient, as users can lock/suspend their phones and tablets for long periods while QField continues to collect and track positions. On top of it all, this will work out of the book with internal GNSS as well as external high-precision GNSS devices.

This is a long-requested functionality for QField, and we couldn’t be prouder to deliver it to our hundreds of thousands of Android users. Big thanks to Groupements forestiers Québec , Biotope , and Terrex Seismic, who jointly sponsored the development.

Moving on to the next major feature added to this new version. Users can now easily import folders from WebDAV services and subsequently upload and download content to that remote folder within QField itself. This functionality eases friction on Android and iOS platforms where storage access is heavily regulated. This implementation highlights our commitment to providing QField users with the freedom they need to build their workflows; thanks to Prona Romandie , AgaricIG , and Oslandia for commissioning this work.

It’s important to note that the WebDAV functionality does not provide data synchronization. The download and upload operations will overwrite datasets stored locally or remotely. For users in need of synchronization and smooth project distribution, QFieldCloud is the way to go . With this new version of QField, downloading large datasets from QFieldCloud has become much more reliable, especially on devices with low memory.

Last but not least, QField has gained support for project-configured grid decoration. When activated, a grid is overlayed on top of the map canvas, which will dynamically render while panning and zooming around. The grid is configured and activated while setting up projects within QGIS itself.

Pro tip: this functionality can replace heavy grid datasets when covering a large dataset, something to consider when trying to optimize projects’ storage size. Big thanks to Oester Messtechnik GmbH for supporting the implementation of this fourth decoration following the arrival of title, copyright, and image decorations in earlier releases.

Other improvements in this release include “forward” angle snapping to digitize perfectly angled polygons, pinch gesture-driven feature rotation, and a new print template which unlocks printing of map canvas to PDF even when their projects have no layouts defined.

Plugin-specific improvements

One of the main additions to QField’s plugin framework is the capability to integrate custom results into the search bar. Thanks to Kanton Basel-Landschaft for supporting the development, users can enjoy OpenStreetMap Nominatim search result integration by installing this plugin (instructions available on the repository). This integration also opens up many new possibilities, such as enabling plugins to send prompts to AI, just like this plugin does.

Other noteworthy improvements include shipping Quick3D QML modules, which allow authors to develop 3D overlays, a new API to customize QField’s colour appearance and a new mechanism for plugins to add a configuration button within the plugin manager.

Users and plugin authors can expect an exciting year ahead as the QField plugin framework continues to grow with new functionalities and improvements. Watch this space!

Main highlights

A new geofencing framework has landed, enabling users to configure QField behaviors in relation to geofenced areas and user positioning. Geofenced areas are defined at the project-level and shaped by polygons from a chosen vector layer. The three available geofencing behaviours in this new release are:

• Alert user when inside an area polygon;
• Alert user when outside all defined area polygons and
• Inform the user when entering and leaving an area polygons.

In addition to being alerted or informed, users can also prevent digitizing of features when being alerted by the first or second behaviour. The configuration of this functionality is done in QGIS using QFieldSync.

Pro tip: geofencing settings are embedded within projects, which means it is easy to deploy these constraints to a team of field workers through QFieldCloud . Thanks Terrex Seismic  for sponsoring this functionality.

QField now offers users access to a brand new processing toolbox containing over a dozen algorithms for manipulating digitized geometries directly in the field. As with many parts of QField, this feature relies on QGIS’ core library, namely its processing framework and the numerous, well-maintained algorithms it comes with.

The algorithms exposed in QField unlock many useful functionalities for refining geometries, including orthogonalization, smoothing, buffering, rotation, affine transformation, etc. As users configure algorithms’ parameters, a grey preview of the output will be visible as an overlay on top of the map canvas.

To reach the processing toolbox in QField, select one or more features by long-pressing on them in the features list, open the 3-dot menu and click on the process selected feature(s) action. Are you excited about this one? Send your thanks to the National Land Survey of Finland , who’s support made this a reality.

QField’s camera has gained support for customized ratio and resolution of photos, as well as the ability to stamp details – date and time as well as location details - onto captured photos. In fact, QField’s own camera has received so much attention in the last few releases that we have decided to make it the default one. On supported platforms, users can switch to their OS camera by disabling the native camera option found at the bottom of the QField settings’ general tab.

Wait, there’s more

There are plenty more improvements packed into this release from project variables editing using a revamped variables editor through to integration of QField documentation help in the search bar and the ability to search cloud project lists. Read the full 3.4 changelog to know more, and enjoy the release!

Join the effort

OPENGIS.ch Supports Flood Mapping Efforts in Ticino

After discussing with the Protezione Civile Locarno e Valle Maggia and the Centro di Competenza per la geoinformazione (CCGEO) , we are proud to announce that OPENGIS.ch is donating the necessary QFieldCloud infrastructure and dedicated projects for a rapid crowdsourcing POC to aid in mapping the 2024 floods in Ticino. This crowdsourcing initiative aims to provide essential support to professionals and volunteers working on flood and landslide assessment and recovery.

https://www.rsi.ch/play/embed?urn=urn:rsi:video:2191880&subdivisions=false

Empowering Response with Advanced Technology

What is needed?

Photographing damaged houses and infrastructure is the most critical aspect of this mapping initiative. These images provide crucial information for assessing the extent of the damage, planning rescue and reconstruction operations, and ensuring that resources are allocated effectively. It’s also important to document any submerged or damaged vehicles, as they offer additional insights into the disaster’s impact. During these activities, it’s essential to be careful and respect the privacy and property of others, avoiding capturing license plate numbers or entering destroyed buildings without permission. Using QField Rapid Mapper can contribute to a faster and more coordinated emergency response while ensuring respect for those affected.

The QFieldCloud infrastructure enables efficient, real-time data collection and sharing, ensuring that accurate and up-to-date information is available to all stakeholders involved in the flood response. This effort underscores our commitment to leveraging technology for social good and environmental resilience.

How You Can Get Involved

1. if you don’t have a QFieldCloud account yet, sign up at https://app.qfield.cloud/accounts/signup/
2. fill out the quick participation form at https://forms.gle/dkjZsSWdmCzr9xic8

By participating, you will have access to powerful tools for field data collection and can contribute valuable information to the ongoing efforts in Ticino. All the data collected will be released under the Creative Commons CC0 1.0 public domain license.

Join the Effort

Using QField and QFieldCloud, you can help create detailed maps crucial for understanding the impact of the floods and planning effective recovery strategies. Your contributions will make a significant difference in managing and mitigating the effects of this natural disaster.

Join the effort

Visit our QField Rapid Mapper project page for more information on how QField and QFieldCloud can assist in flood mapping and other field data collection projects.

Together, we can make a difference. Join us in mapping the floods in Ticino and support the community’s recovery efforts.

A plugin framework is born!

As announced recently , QField now empowers users through a brand new plugin framework allowing for simple customization on the way the application behaves or looks all the way through to creating completely new functionalities.

The plugin framework relies on Qt’s QML engine and JavaScript , allowing for cross-platform support out of the box. This means that plugins will run perfectly fine on all platforms currently supported by QField: Android, iOS, Windows, Linux, and macOS.

App-wide plugin vs. project plugin

First, let’s look at the two types of plugins supported by QField: app-wide plugins and project plugins. As their names imply, the main difference is their scope. An enabled app-wide plugin will remain active as long as QField is running, while project plugins are activated on project load and deactivated when the project tied to the plugin is closed.

Project plugins are shipped alongside a given project file ( .qgs/ .qgz). Project plugins must share the same name of the project file with a .qml extension. For example, if your project file is birdwatcher.qgz, QField will look for the presence of a birdwatcher.qml to activate the project plugin. For app-wide plugins, installation is done via the plugins manager popup; more on this below.

Distribution of project plugins can be greatly facilitated through QFieldCloud . The presence of project plugins within a cloud project environment will be automatically detected and packaged alongside the project file and its datasets when deployed to QField devices.

Starting with a project plugin

We will start with looking into a simple project plugin that offers a new digitizing mechanism focused on snapping photos as a trigger for point feature addition. This plugin will demonstrate how new functionalities and behaviors can be added to QField to serve specific needs. In this case, the new digitizing mechanism could come in handy for bird watchers and other users in need of a quick way to snap photos!

It’s advised to download a version of QField running on your desktop environment while testing plugins. Links to Windows, Linux, and macOS builds are available here . Once installed, download this project archive containing a tiny birdwatcher sample project and extract it into a new directory on your local machine.

The project archive consists of a point vector layer ( observations.gpkg), a project file ( birdwatcher.qgz) as well as a project plugin ( birdwatcher.qml) which we will look into below. Please note that the point vector layer’s attribute form is already configured to display captured photos. We will not spend time on attribute form setup in this post; see this relevant documentation page if you are interested in knowing how that was achieved.

We can now test the project plugin by opening the project ( birdwatcher.qgz) in QField. Users familiar with QField will notice a new ‘camera’ tool button present on the top-right corner of the map canvas. This button was added by the project plugin. You can press on it, to open the QField camera, take a photo (of yourself, a random object on your table, or with a bit of luck a bird), and witness how that leads to a point feature creation.

Digging into the project plugin file

Let’s open the project plugin file (birdwatcher.qml) in your favorite text editor. The first few lines define the QML imports needed by the plugin:

import QtQuick
import QtQuick.Controls

import org.qfield
import org.qgis
import Theme

import "qrc:/qml" as QFieldItems

Beyond the two QtQuick imports, we will make use of QField-specific types and items as well as QGIS ones ( registered and declared in this source file ), a Theme to retrieve icons and colors as well as QField items such as tool buttons ( see this source directory ), as well as the QField QML items embedded into the application itself to make use of the camera.

The next line declares an generic Item component which will be used by QField to initiate the plugin. This must be present in all plugins. As this plugin does, you can use the Component.onCompleted signal to trigger code execution. In this case, we are using iface to add a tool button on top of the map canvas:

Component.onCompleted: {
  iface.addItemToPluginsToolbar(snapButton)
}

Just above these lines, the plugin declare a number of properties pointing to items found in the main QField ApplicationWindow:

property var mainWindow: iface.mainWindow()
property var positionSource: iface.findItemByObjectName('positionSource')
property var dashBoard: iface.findItemByObjectName('dashBoard')
property var overlayFeatureFormDrawer: iface.findItemByObjectName('overlayFeatureFormDrawer')

Users can reach through to any items within QField’s ApplicationWindow provided they have an objectName property defined. The string value is used in the iface.findItemByObjectName() function to retrieve the item.

The rest of the file consists of a loader to activate the QField camera, a tool button to snap a photo, and a function to create a new feature within which the current position is used as geometry and the snapped photo is attached to the feature form.

The function itself provides a good example of what can be achieved by using the parts of QGIS exposed through QML, as well as utility functions and user interface provided by QField:

function snap(path) {
  let today = new Date()
  let relativePath = 'DCIM/' + today.getFullYear()
                              + (today.getMonth() +1 ).toString().padStart(2,0)
                              + today.getDate().toString().padStart(2,0)
                              + today.getHours().toString().padStart(2,0)
                              + today.getMinutes().toString().padStart(2,0)
                              + today.getSeconds().toString().padStart(2,0)
                              + '.' + FileUtils.fileSuffix(path)
  platformUtilities.renameFile(path, qgisProject.homePath + '/' + relativePath)

  let pos = positionSource.projectedPosition
  let wkt = 'POINT(' + pos.x + ' ' + pos.y + ')'

  let geometry = GeometryUtils.createGeometryFromWkt(wkt)
  let feature = FeatureUtils.createFeature(dashBoard.activeLayer, geometry)

  let fieldNames = feature.fields.names
  if (fieldNames.indexOf('photo') > -1) {
    feature.setAttribute(fieldNames.indexOf('photo'), relativePath)
  } else if (fieldNames.indexOf('picture') > -1) {
    feature.setAttribute(fieldNames.indexOf('picture'), relativePath)
  }

  overlayFeatureFormDrawer.featureModel.feature = feature
  overlayFeatureFormDrawer.state = 'Add'
  overlayFeatureFormDrawer.open()
}

The QGIS API Documentation site is a good resource for learning what parts of the many QGIS classes are exposed to QML. For example, the QgsFeature documentation page contains a Properties section and a Q_INVOKABLE prefix next to functions indicating their availability within a QML/JavaScript environment.

Deployment of a project plugin via QFieldCloud

As mentioned above, QFieldCloud greatly eases the deployment of project plugins to devices in the field. We will now go through the steps required to create a cloud project environment based on the birdwatcher sample project, and witness it handling the project plugin automatically.

This will require you to registered for a freely available QFieldCloud community account if you haven’t done so yet ( it takes a minute to do so , what are you waiting for ;) ). We will also need the QFieldSync plugin in QGIS, which can be enabled through the QGIS plugin manager.

Let’s open QGIS, and log into QFieldCloud by clicking on the QFieldSync toolbar’s blue cloud icon. Once logged in, click on the ‘Create New Project’ tool button found at the bottom of the dialog.

In the subsequent panel dialog, choose the ‘Create a new empty QFieldCloud project’ and then hit the ‘Next’ button. Give it a name and a description, and for the local directory, pick the folder within which you had extracted the birdwatcher project, then hit the ‘Create’ button.

QFieldSync will then ask you to upload your newly created cloud project environment to the server. Notice how the project plugin file (birdwatcher.qml) is part of the files to be delivered to the cloud. Confirm by clicking on the ‘Upload to server’ button.

When QFieldSync is finished uploading, you are ready to take your mobile device, open QField, log into your QFieldCloud account and download the cloud project. Once the cloud project is loaded, you will be asked for permission to load the project plugin, which you can grant on a permanent or one-time basis.

Bravo! You have successfully deployed a project plugin through QFieldCloud.

Creating an app-wide plugin directory

Let’s move on to creating a functional app-wide plugin directory. Download this sample app-wide plugin and extract it into a new directory placed in the ‘plugins’ directory, itself found within the QField app directory. The location of the app directory is provided in the ‘About QField’ overlay, take note of it prior to extracting the plugin if you have not done so yet.

As seen in the screenshot above, which demonstrates the directory hierarchy, a given plugin directory must contain at least two files: a main.qml file, which QField will use to activate the plugin, and a metadata.txt file containing basic information on the plugin, such as the plugin name, author details, and version.

Here’s a sample metadata.txt from the birdwatcher project plugin upgraded into an app-wide plugin:

[general]
name=Snap!
description=Digitize points through snapping photos
author=OPENGIS.ch
icon=icon.svg
version=1.0
homepage=/

Opening main.qml in your favourite text editor will reveal that it has the exact same content as the above-shared project plugin. The only change is the renaming of birdwatcher.qml to main.qml to take into account this plugin’s app-wide scope.

PSA: we have setup this GitHub QField template plugin repository to ease creation of plugins. Fork at will!

Deploying app-wide plugins

While currently not as smooth as deploying a project plugin through QFieldCloud, app-wide plugins can be installed onto devices using a URL pointing to a zipped archive file containing the content of a given plugin directory. The zipped archive file can then be hosted on your own website, on a GitHub or GitLab repository, a Dropbox link, etc.

In QField, open the plugins manager popup found in the settings panel, and use the ‘Install plugin from URL’ button to paste a URL pointing to a zipped plugin file.

You should keep the zipped archive file name consistent for a better user experience, as it is used to determine the installation directory. This is an important consideration to take into account when offering plugin updates. If your zipped plugin file name changes, the plugin will not be updated but rather added to a new directory alongside the previously installed plugin.

QField does allow for a version tag to be added to a zipped archive file name, provided it is appended at the end of the file name, preceded by a dash, and includes only numbers and dots. For example, myplugin-0.0.1.zip and myplugin-0.2.1.zip will install the plugin in the myplugin directory.

Empowering users as well as developers

Here at OPENGIS.ch, we believe this new plugin framework empowers not only users but also developers, including our very own ninjas! With plugin support, we now have the possibility to develop answers to specific field scenarios that would not necessarily be fit for QField-wide functionalities. We would love to hear your opinion and ideas.

If you would like to supercharge your fieldwork and need some help, do not hesitate to contact us - your projects are our passion 💚

P.S. If you are developing a cool QField plugin, also let us know! :)

Bird SVG in video CC-BY https://svgrepo.com/svg/417419/bird

Main highlights

One of the biggest feature additions of this version is a brand new drawing tool that allows users to sketch out important details over captured photos or annotate drawing templates. This was a highly requested feature, which we are delighted to bring to all supported platforms (Android, iOS, Windows, macOS, and, of course, Linux) with the financial support of the Swiss QGIS user group .

Also landing in this version is support for copying and pasting vector features into and from the clipboard. This comes in handy in multiple ways, from providing a quick and easy way to transfer attributes from one feature to another through matching field names to pasting the details of a captured feature in the field into a third-party messenger, word editing, or email application. Copying and pasting features can be done through the feature form’s menu as well as long pressed over the map canvas. If copy pasting ain’t your style, a new feature-to-feature attributes transfer shortcut has also been added to the feature form’s menu. Appreciation to Switzerland, Canton of Lucerne, Environment and Energy for providing the funds for this feature.

The feature form continues to gain more functionalities; in this version, the feature form’s value map editor widget has gained a new toggle button interface that can help fasten data entry. The interface replaces the traditional combo box with a series of toggle buttons, lowering the number of taps required to pick a value. If you enjoy this as much as we do, send a virtual thanks to German Archaeological Institut - KulturGutRetter , which sponsored this feature.

Other improvements in the feature form include support for value relation item grouping and respect for the vector layer attributes’ “reuse last entered value” setting.

Finally, additional features that are sure to please include support for image decoration overlay, a new interface to hop through cameras(front, back, and external devices) for the ‘non-native’ camera , the possibility to disable the 3-finger map rotation gesture, and much more .

User experience improvements

Long-time users of QField will notice the new version restyling of the information panels such as GNSS positioning, navigation, elevation profile, and sensor data. The information is now presented as an overlay sitting on top of the map canvas, which increases the map canvas’ visibility while also achieving better focus and clarity on the provided details. While revisiting these information panels, we’ve made sure all details, including altitude and distance to destination, respect user-configured project distance unit type.

The dashboard’s legend has also received some attention. You can now toggle the visibility of any layer via a quick tap on a new eye icon sitting in the legend tree itself. Similarly, legend groups can be expanded and collapsed directly for the tree. This also permits you to show or hide layers while digitizing a feature, something which was not possible until now. The development of these improvements was supported by Gispo and sponsored by the National Land Survey of Finland .

Plugin framework

Last but far away from least, QField 3.3 introduces a brand new plugin framework using Qt’s powerful QML and JavaScript engine. With a few lines of code, plugins can be written to tweak QField’s behaviour and add breathtaking capabilities. Two types of plugins are possible: app-wide plugins as well as project-scoped plugins. To ensure maximum ease of deployment, we have enabled project plugin distribution through QFieldCloud ! We extend our heartfelt thanks to Amsa for the financial contribution that brought this incredible project to life.

Stay tuned for an upcoming webinar and a dedicated post that will dive into how QField plugins can revolutionize your field (and business) workflows by allowing you to be even more efficient in the field.

Users interested in authoring plugins or better understanding the framework can already visit the dedicated documentation page , a sample plugin implementation sporting a weather forecast integration and our latest blog article .

Leading the Way in Fieldwork Technology

QField stands out as the leading fieldwork app, designed to bring the power of geospatial data collection and management to the fingertips of users worldwide. Developed with a user-centric approach, QField allows seamless integration with QGIS , providing a robust and intuitive platform for data collection, visualization, and analysis directly in the field. This recognition as a Digital Public Good underscores QField’s vital role in advancing digital solutions for sustainable development.

Accessible for Everyone

One of QField’s key strengths is its ease of use, making it accessible not only to professionals but also to students, researchers, and community members. Its intuitive interface ensures that users with varying levels of technical expertise can efficiently collect and manage geospatial data. This inclusivity promotes wider adoption and engagement, enhancing the app’s impact across different sectors and communities.

Exemplary Open Source Project

At the heart of QField’s success is its commitment to technological excellence and open-source principles. As an exemplary open-source project, QField fosters a collaborative environment where developers and users alike contribute to continuous improvement and innovation. QField frequently contributes back to its upstream project, QGIS, ensuring mutual growth and enhancement of both platforms. This community-driven approach not only enhances the app’s functionality but also ensures that it remains accessible and adaptable to diverse needs across the globe.

Supporting Sustainable Development Goals

QField’s capabilities extend beyond just one aspect of the United Nations Sustainable Development Goals (SDGs); they intersect with multiple goals, enhancing efforts towards a sustainable future:

• SDG 6: Clean Water and Sanitation: QField facilitates efficient water quality monitoring and management, ensuring communities have access to clean and safe water.
• SDG 9: Industry, Innovation, and Infrastructure: By providing cutting-edge tools for infrastructure planning and development, QField drives innovation in various industries.
• SDG 11: Sustainable Cities and Communities: QField supports urban planning and sustainable development, contributing to the creation of resilient and inclusive cities.
• SDG 13: Climate Action: The app enables precise data collection for climate research and environmental monitoring, aiding in climate action initiatives.
• SDG 15: Life on Land: QField aids in biodiversity assessments and conservation efforts, promoting the sustainable use of terrestrial ecosystems.
• SDG 16: Peace, Justice, and Strong Institutions: Through its reliable and transparent data management capabilities, QField supports the development of strong institutions and governance systems.

A Future of Innovation and Sustainability

As we celebrate this recognition, we remain committed to pushing the boundaries of what is possible in fieldwork technology. QField will continue to evolve, driven by the needs of its global user base and the imperative to support sustainable development. We invite all stakeholders to join us on this journey towards a more sustainable and equitable future.

For more information about QField and its contributions to the SDGs, please visit https://qfield.org/sdgs.html

Media Contact:

Marco Bernasocchi is happy to receive interview requests or queries about the project.
Email: marco@opengis.ch
Phone: +41 79 467 24 70 (14:00 - 18:00 CET)

OPENGIS.ch GmbH
Via Geinas 2
CH-7031 Laax

About the OPENGIS.ch product “QField” application

QField is an open-source fieldwork app that integrates seamlessly with #QGIS, providing a powerful platform for data collection, visualization, and analysis. Designed for professionals across various sectors, QField empowers users to efficiently manage and analyze geospatial data in the field, contributing to sustainable development and innovation worldwide. Link: https://qfield.org

About the OPENGIS.ch service QFieldCloud

#QFieldCloud is a spatial cloud service integrated in #QField that allows remote provisioning and synchronisation of geodata and projects. Although “QFieldCloud” is still in an advanced beta stage, it is already being used by many groups to significantly improve their workflows. Link: https://qfield.cloud

About OPENGIS.ch:

OPENGIS.ch GmbH is a Swiss software development company based in Laax. OPENGIS.ch employs 19 people and works mainly in the field of spatial software development, geodata infrastructure deployments and professional support. Personalised open-source GIS solutions are often planned and developed as desktop or mobile applications. OPENGIS.ch finances itself through tailor-made customer solutions, professional support and adaptations. Link: https://opengis.ch

About Digital Public Goods Alliance (DPGA)

The Digital Public Goods Alliance is a multi-stakeholder initiative endorsed by the United Nations Secretary-General, working to accelerate the attainment of the Sustainable Development Goals in low- and middle-income countries by facilitating the discovery, development, use of, and investment in digital public goods.

For more information on the Digital Public Goods Alliance please reach out to hello@digitalpublicgoods.net .

Images for editorial purposes are freely available for download if the copyright ©OPENGIS.ch is mentioned: https://download.opengis.ch/2024_qfield_sdgs_images.zip

Main highlights

This new release introduces project-defined tracking sessions, which are automatically activated when the project is loaded. Defined while setting up and tweaking a project on QGIS, these sessions permit the automated tracking of device positions without taking any action in QField beyond opening the project itself. This liberates field users from remembering to launch a session on app launch and lowers the knowledge required to collect such data. For more details, please read the relevant QField documentation section .

As good as the above-described functionality sounds, it really shines through in cloud projects when paired with two other new featurs.

First, cloud projects can now automatically push accumulated changes at regular intervals. The functionality can be manually toggled for any cloud project by going to the synchronization panel in QField and activating the relevant toggle (see middle screenshot above). It can also be turned on project load by enabling automatic push when setting up the project in QGIS via the project properties dialog. When activated through this project setting, the functionality will always be activated, and the need for field users to take any action will be removed.

Pushing changes regularly is great, but it could easily have gotten in the way of blocking popups. This is why QField 3.2 can now push changes and synchronize cloud projects in the background. We still kept a ‘successfully pushed changes’ toast message to let you know the magic has happened 🚀

With all of the above, cloud projects on QField can now deliver near real-time tracking of devices in the field, all configured on one desktop machine and deployed through QFieldCloud. Thanks to Groupements forestiers Québec for sponsoring these enhancements.

Other noteworthy feature additions in this release include:

• A brand new undo/redo mechanism allows users to rollback feature addition, editing, and/or deletion at will. The redesigned QField main menu is accessible by long pressing on the top-left dashboard button.
• Support for projects’ titles and copyright map decorations as overlays on top of the map canvas in QField allows projects to better convey attributions and additional context through informative titles.

Additional improvements

The QFieldCloud user experience continues to be improved. In this release, we have reworked the visual feedback provided when downloading and synchronizing projects through the addition of a progress bar as well as additional details, such as the overall size of the files being fetched. In addition, a visual indicator has been added to the dashboard and the cloud projects list to alert users to the presence of a newer project file on the cloud for projects locally available on the device.

With that said, if you haven’t signed onto QFieldCloud yet, try it! Psst, the community account is free 🤫

The creation of relationship children during feature digitizing is now smoother as we lifted the requirement to save a parent feature before creating children. Users can now proceed in the order that feels most natural to them.

Finally, Android users will be happy to hear that a significant rework of native camera, gallery, and file picker activities has led to increased stability and much better integration with Android itself. Activities such as the gallery are now properly overlayed on top of the QField map canvas instead of showing a black screen.

Main highlights

One of the main improvements in this release is the brand-new functionality to enable snapping to common angles while digitizing. When enabled, the coordinate cursor will snap to configured angles alongside a visual guideline. This comes in handy when adding new geometries while surveying features with regular angles (e.g. buildings, parking lots, etc.). As QField gets more digitizing functionalities, we’ve taken the time to implement a nifty UI that collapses digitizing toggle buttons into a drawer, leaving extra space for the map canvas to shine through.

In addition, the vertex editor - one of QField’s most advanced geometry tools - received tons of love during this development cycle, focusing on improving its usability. Changes worth mentioning include:

• A new undo button allows users to revert individual vertex manipulations in case of mistaken adjustment, which can save you from having to cancel a large set of ongoing manipulations;
• The possibility to select vertices using finger tapping on the screen, dramatically improving the user experience;
• Clearer on-screen markers to represent vertices and
• Tons of bug fixes to the vertex editor itself, as well as the broader set of geometry tools.

It is now possible to lock the geometry of individual features within a single vector layer. While QField has long supported the concept of a locked geometry state for vector layers, that was until now a layer-wide toggle. With the new version of QField, a data-defined property can dictate whether a given feature geometry can be edited. Interested in geofenced geometry editing? We’ve got you covered ;) This functionality requires the latest version of QFieldSync, which is available through QGIS’ plugin manager.

Noticeably improvements

Permission handling has been improved across all platforms. On Android, QField now delays the permission request for camera, microphone, location, and Bluetooth access until needed. This makes for a much friendlier user experience.

QField 3.0 was one of the largest releases, with major changes in its underlying libraries, including a migration to Qt 6. With the community’s help, we have spent countless hours testing before release. However, it is never a bulletproof process, and that version came with a few noticeable regressions. In particular, camera handling on Android suffered from upstream issues with Qt. We’ve tracked as many of those as possible, making this new version much more stable. One lingering camera issue remains and will be fixed upstream in the next three weeks; we’ll update as soon as it is available.

Finally, long-time users of QField will notice improvements in how geometry highlights and digitizing rubber bands are drawn. We’ve doubled down on efforts to ensure that the digitized geometries and the coordinate cursor itself are always clearly visible, whether overlaid against the canvas’s light or dark parts.

We want to extend a heartfelt thank you to our sponsors for their generous support. If you’re inspired by the developments in QField and want to contribute, please consider donating . Your support will help us continue to innovate and improve this tool for everyone’s benefit.

We are extremely happy to announce that we have partnered strategically withOslandia to push the leading #fieldwork app #QField even further.

In the world of fieldwork, accuracy and efficiency are paramount. As GIS specialists, we understand the importance of reliable tools that streamline data collection and analysis processes. That’s why we are thrilled to join forces with Oslandia, a company that shares our passion for open-source development and innovation.

Embracing Open Source Development

At OPENGIS.ch , we have always been committed to the principles of true open-source development. We firmly believe collaboration and shared knowledge drive progress in the GIS community. With Oslandia, we have found a partner who shares our values and cares as much as we do about the QGIS ecosystem.

QGIS , the world’s most popular open-source geographic information system software, has already significantly impacted the GIS industry, providing users with versatile mapping tools and capabilities and is the base upon which QField is built. As main contributors to #QGIS, both OPENGIS.ch and Oslandia are dedicated to driving its growth and ensuring its availability to all.

Advancing QField and QFieldCloud Together

QField , with almost 1 million downloads, is the leading app for fieldwork tasks. It empowers professionals in various sectors, such as environmental research, agriculture, urban planning, and disaster management, to efficiently collect data and conduct analyses in the field. With our strategic partnership with Oslandia, we are committed to pushing the boundaries of QField even further.

Our joint efforts will ensure that QField will keep setting trends in the industry, surpassing the evolving needs of GIS specialists and empowering them to excel in their fieldwork tasks.

A Synergy of Expertise

The collaboration between OPENGIS.ch and Oslandia represents a true synergy of expertise. Our combined capabilities will enable us to tackle complex challenges quickly and deliver cutting-edge solutions that address the unique requirements for seamless #fielwork.

Conclusion

At OPENGIS.ch , we are excited about the opportunities our partnership with Oslandia brings. Together, we will continue championing open-source development, empowering GIS specialists in each sector to perform their fieldwork tasks more effectively and efficiently.

With QField as our flagship app, we are confident that this strategic collaboration will result in even greater advancements, benefiting our target audience of surveying professionals, fieldwork experts, and GIS specialists, as well as casual users who need a user-friendly solution for their projects.

Join us in celebrating this exciting new chapter as we embark on a shared journey towards innovation and excellence in fieldwork applications.

Since then, OPENGIS.ch has continued to lead the development of QField with the regular support of sponsors. We couldn’t be prouder of the progress we have made, with plenty of new features added in every major release. This includes major improvements to positioning including location tracking, integration of external GNSS receivers through not only Bluetooth but TCP/UDP and serial port connections, accuracy indicator and constraints, and most recently sensors reading to list a few.

We are now calling for the community to help further better QField and unlock an important milestone: background location tracking service.

Pledge now

Main goal: background location tracking on Android – 25'000€

Currently, QField requires users to keep their devices’ screen on and have the app in the foreground to keep track of the device’s positioning location. On mobile devices, this can drain batteries faster than many would want to, in environments where charging options are limited.

This crowdfunding aims at removing this constraint and allow QField - via a background service - to constantly keep tracking location even while the device is suspended (i.e., when the screen is turned off / locked).

To achieve this, a significant amount of work is required as the positioning framework on Android will need to be relocated to a dedicated background service. Recent work we’ve done adding a background service to synchronize captured image attachments in QFieldCloud projects armed us with the assurances that we can achieve our goal while giving us an appreciation of the large amount of work needed.

Some of the benefits

Running out of battery is the nightmare of most field surveyors. By moving location tracking to a background service, users will be able to improve their battery life considerably and keep focusing on their tasks even if it involves switching to a different app.

Furthermore, while OPENGIS.ch ninjas remain busy squashing reported QField crashes all year long, there will always be unexpected scenarios leading to abrupt app shutdowns, such as third-party apps, systems running out of battery, etc. To address this, the background service framework will also act as a safeguard to avoid location data loss when QField unexpectedly shuts down and offer users means to recover that data upon re-opening QField.

Stretch goal 1: background navigation audio feedback 5'000€

The second stretch goal builds onto QField’s nice fly-to-point navigation system. If the QField community meets this threshold, a new background navigation audio feedback informing users in the field of their proximity to their target will be implemented.

The audio feedback will use text-to-speech technology to state the distance to target in meters for a given time or distance interval.

Stretch goal 2: iOS 15'000€

The main goal will cover the Android implementation only. Due to being a very low level work we will have to replicate the work for each platform we support. If we reach stretch goal 2 we will also implement this for iOS.

Pledge now:

In case you do not see the embedded form you can open it directly here .

Thanks for supporting our crowdfunding and keep an eye on our blog for updates on the status.

The main highlight: sensors

QField 2.8 ships with out-of-the-box handling of external sensor streams over TCP, UDP, and serial port. The functionality allows for data captured through instruments – such as geiger counter, decibel sensor, CO detector, etc. - to be visualized and manipulated within QField itself.

Things get really interesting when sensor data is utilized as default values alongside positioning during the digitizing of features. You are always one tap away from adding a point locked onto your current position with spatially paired sensor readings saved as point attribute(s).

Not wowed yet? Try pairing sensor readings with QField’s tracking capability! ;) Head over QField’s documentation on this as well as QGIS’ section on sensor management to know more.

The development of this feature involved the addition of a sensor framework in upstream QGIS which will be available by the end of this coming June as part of the 3.32 release. This is a great example of the synergy between QField and its big brother QGIS, whereas development of new functionality often benefits the broader QGIS community. Big thanks to Sevenson Environmental Services for sponsoring this exciting capability.

Notable improvements

A couple of refinements during this development cycle are worth mentioning. If you ever wished for QField to directly open a selected project or reloading the last session on app launch, you’ll be happy to know this is now possible.

For heavy users of value relations in their feature forms, QField is now a tiny bit more clever when displaying string searches against long lists, placing hits that begin with the matched string first as well as visually highlighting matches within the result list itself.

Finally, feature lists throughout QField are now sorted. By default, it will sort by the display field or expression defined for each vector layer, unless an advanced sorting has been defined in a given vector layer’s attribute table. It makes browsing through lists feel that much more natural.

New recording capabilities

The highlight of QField 2.7 is the new audio and video recording capability straight from the feature form. In addition to preexisting still photo capture, this functionality allows for video motion and audio clips to be added as attachments to feature attributes.

The audio recording capability can come in handy in the field when typing on a keyboard-less device can be challenging. Simply record an audio note of observations to process later.

The experience wouldn’t be complete without audio and video playback support, which we took care of in this version too. Playback of such media content within the feature form gives an immediate feedback and saves time. For those interested in full screen immersion, simply click on the video frame to open the attached in your favorite media player. We also took the opportunity to implement audio and video playback on QGIS so people can easily consume the fruits of their labor in the field at their workstation.

We would be remiss if we didn’t mention map canvas rotation functionality added in this version. This is a long-requested functionality which we are happy to have packed into QField now. Pro-tip: when positioning is enabled, double tapping on the lower-left positioning button will have the map canvas follow both the device’s current location as well as the compass orientation.

Finally - some would argue “most importantly” ;) - QField is now equipped with a beautiful dark theme which users can activate in the settings panel. By default on Android and iOS, QField will follow the system’s dark theme setting. In addition to the new color scheme, users can also adjust the user interface font size.

Big thanks to Deutsches Archäologisches Institut who funded the majority of the new features in this release cycle. Their investment in making QField the perfect tool for them has benefited the community as a whole.

A ton of bug fixing across all platforms

Important stability improvements and fixes to serious issues are also part of this release. Noteworthy fixes include WFS layer support on iOS, much better Bluetooth connectivity on Android, and vertical grid improvement on Windows.

For users facing reliability issues with the native camera on Android, we have spent time supersizing the camera we ship within QField itself. During this development cycle, it has gained zoom and flash controls, as well as a ton of usability improvements, including geo-tagging.

To know more about this release, read the full change log on QField’s github release page .

You are a passionate QGIS user and would like a jump start your fieldwork setup?

You are a senior GIS manager and would like to optimize your teams’ mobile data collection efficiency?

Let us you introduce the QField jump-start packages

During a half day or full day private support session, our QFields experts will help you get started with your project as fast as possible.

The QField jump-start packages are available in English, German, French, Italian and Spanish and can be held remotely or at one of our offices in Switzerland.

See pricing

New positioning features

Let’s open with a bang: QField 2.6 now supports NMEA streaming from external GNSS devices over TCP, UDP, and serial ports, in addition to preexisting Bluetooth connectivity. This new functionality means that QField is now compatible with a much larger range of GNSS devices out there.

These new receivers unlock NTRIP-driven centimetre accuracy for devices that use the Bluetooth connection to a manufacturer’s application to connect to NTRIP servers. In this scenario, QField could not initiate a Bluetooth connection since it was already taken. With the new TCP and UDP receivers - provided the manufacturer’s application offers NMEA streaming over either of those Internet protocols - QField can connect and consume high-accuracy positioning.

The presence of a serial port receiver provides support for external GNSS devices using Bluetooth on Windows via the virtual serial port created by the operating system. The lack of Bluetooth support on Windows was a long-wanted enhancement from QField users on that platform and was the last blocker for the ‘beta’ status to go away.

In addition, QField 2.6 allows users to pick from half a dozen metrics a value to attach to the measure (M) dimension of geometries being digitized when locked to the current position. This functionality is available to both users digitizing and the positioning tracker. The measurement values available as of 2.6 are timestamp, ground speed, bearing, horizontal accuracy and vertical accuracy, as well as PDOP, HDOP and VDOP values.

Growing Continuous Integration (CI) testing framework now covers positioning

Starting with version 2.6, QField ships with increased quality assurances thanks to the addition of tests covering positioning functionalities in its growing CI framework.

Practically speaking, this means that every single line of QField code changed is now being tested against positioning-related regression, significantly decreasing the risks of shipping a new version of QField with broken functionality in the area of antenna height, vertical grid shift, and ellipsoidal height adjustments.

We would like to commend Deutsche Bahn for funding the required work here. This could not have come in soon enough as more and more people are opting for QField and relying on it for their crucial day-to-day fieldwork.

For those who don’t know much about the concept of open source projects, a bit of background. Investing in open-source projects is a technical and ethical decision for OPENGIS.ch. Open source is a technological advantage, as we receive input from many developers worldwide who are motivated to work out the best possible software. It prevents our customers from vendor lock-in and allows complete ownership and control of the developed software. And finally, not only financially independent businesses and people should benefit from professional software but also those who might not have the financial means to pay for features, and licences.

You are not a developer, but you still like to use QField and support it? Good news. You don’t have to be a developer to use, contribute or recommend the app. There are plenty of things that need to be done to help QField to remain the powerful software it is right now and become even better. Here are a few suggestions on how you can give something back.

1. Review the app ★★★★★ in google’s play store or apple’s app store .
2. Let the world know about it! It doesn’t matter if you’re on Twitter, LinkedIn, Instagram or any other social media platform. Show and tell about where QField helped you. We appreciate every post and we promise to like, share and comment.
3. Write about your experience and please let us know. Be it in your blog or as a new success story. Insights into field projects are extremely valuable. It helps us to make the app even more efficient for your work, and it helps others to understand the range of applications for QField.
4. Register for a paid QFieldCloud account . QFieldCloud allows to synchronize and merge the data collected in QField. QFieldCloud is hosted by the makers of QField and by getting an account you help QField too.

Do you want to do something that is more hands-on and directly linked to the app? No problem.

1. Help with the documentation . You can document features, or improve the documentation in English. Read the how-to guide to get started.
2. And if you are multilingual you might consider translating the documentation or the app in your language .
3. Become a beta tester and be the first to report a bug! When something doesn’t work properly it might be a bug. The quicker we know about it, the faster it can be resolved.
4. You can ask and answer questions on gis.stackexchange and help others on the user discussions platform .
5. If you are a developer and you want to get involved in QField development, please refer to the individual documentation for QField , QFieldCloud and QFieldSync .

And now finally for those of you who have the financial means, you can either sponsor a feature or subscribe to one of the monthly sponsorships . By doing so you help get freshly baked QField versions straight to everyone’s devices.

Nothing in it for you? In that case, just drop by to say thank you or have a hot or cold beverage with us next time you meet OPENGIS.ch at a conference and you might make our day!
Want to know more about the idea of community-driven open-source projects and the QGIS project in particular? Check out Nyall Dawson’s blog post about how to effectively get things done in open source !

Exciting new features

QField’s main new feature of this 2.5 release cycle is its brand new elevation profiling functionality which has been added to the measuring tool. Users are now able to dynamically build and analyze elevation profiles wherever they are - in the field or on their desktop - by simply drawing paths onto their maps and projects.

This is a great example of QField’s capability at bringing the power of QGIS through a UI that keeps things simple and avoids being in your way until you need it. Oh and while we’re speaking of the measuring tool, check out the new azimuth measurement!

This new version also brings multi-column support to feature forms. QField now respects the number of columns set by users in the attributes’ drag and drop designer while building and tweaking projects in QGIS. The implementation will take into account the screen availability and on narrow devices will revert to a one-column setup. Pro tip: try to change the background color of your individual groups to ease understanding of the overall feature form.

Another highlight of this release is a brand new screen lock action that can be triggered through QField’s main menu found in the side dashboard or in the map canvas menu shown when long pressing on the map itself. Once activated, QField will become unresponsive to touch and mouse events while keeping the display turned on. When locked, QField also hides tool buttons which results in a more complete view of the map extent.

Stability improvements

As with every release, our ninjas have been spending time hunting nasty bugs and improving stability and QField 2.5 is no exception. In particular, the feature form should feel more reliable and even more polished.

We are extremely proud and happy about the received award. And even more when we look at the contendants that won in the other categories. We’re talking companies like SBB, Swiss Life, Switzerland Tourism and, yes, Rivella ?.

You can check out all results at https://www.bestofswissapps.ch/bosa/hall-of-fame

If you are interested in more details, we released a press release in German and in English.

QField is an open source mobile app. The app is designed to use and edit geographically referenced data. In urban environments with 5G connectivity, but also with offline data. The mobile GIS app combines minimal design for simplicity with sophisticated technology for a versatile range of uses to bring data conveniently from the field to the offices. The app was started in 2011 and received a major rebuild in 2022.

QField is mainly funded by customer feature requests, support contracts and sponsoring and is continuously improved an released for Android, iOS, Windows, MacOS and Linux.

It offers a seamless QGIS integration and is GPS-centric, with offline functionality, synchronisation options and desktop configuration. QField is designed for fieldwork: simple, but uncompromising. The app is used internationally and is the first choice for mobile GIS projects. In the city, in the countryside and in the forest.

Soon, QFieldCloud will also be launched. QFieldCloud is a cloud service integrated into QField that enables the remote provision and synchronisation of geodata and projects.

https://videopress.com/v/c95KEqlR?resizeToParent=true&cover=true&preloadContent=metadata&useAverageColor=true

And here some moments of the award night. It was a blast!

Get It now for Android, iOS, MacOS, Windows and Linux

Good things take time (and sponsors ), and we wanted our Apple users to enjoy the same solid and seamless experience as our Android users. So we took the time needed and ran beta testing of QField for multiple months. Thanks to all the community feedback and to the uncountable work hours put in by our development team, today we released QField on the iOS Appstore.

Following the naming scheme for the 2.X series, we decided to name QField 2.4 Ecstatic Elk (Cervus Canadensis), honouring “the land of maple leaf ??”, the home country of Mathieu (QField lead UX designer) and origin of some recent funding.

New features, improvements and demo projects

Releasing for iOS is the main news for QField 2.4, but we also added some new features as well as fixed some annoying bugs we had.

The new features include atlas-driven print layouts that can now be printed through the main menu’s print to PDF item and dragging files onto an iOS device via USB Cable with iTunes support.

Some more UX improvements can be noticed when sending or exporting datasets via the project folder. All sidecars will now be considered so that, for example, you can send your edited shapefiles via your favourite email or messenger app.

Finally, QFieldCloud’s projects are better sorted, and its community tab is now functional.

Bugfixes

During the last sprint, we greatly improved QField’s automated testing framework, greatly decreasing the risks of regressions slipping into future releases. We also ensured that QGIS-shipped SVG markers will now render properly within QField.

Finally, we fixed freehand toggling when using a stylus and ensured the changelog popup doesn’t overlap with the OS’ status bar.

Best of Swiss Apps Nomination

We put a lot of effort into ensuring that QField, is of the highest possible quality, so being nominated as a finalist for the BestOfSwissApps award was even sweeter ???

Beginning of November, we’ll know more about the outcome of the votes ?

QFieldCloud

QFieldCloud has been in Free BETA for half a year now. Thanks to the precious help of the many early adopters (we already have over 30K users), we were able to identify and fix plenty of issues. In the last months, our service status page has been consistently looking super-green ;)

We are extremely happy with how the system is behaving and are even happier with the feedback we are receiving!

As of today, we’ve implemented all the functionality that we want to have for the GA release. All we are missing is finishing testing the billing and payment system and rolling the drums ?

So keep on enjoying our fantastic fieldwork ecosystem, and let us know the amazing things you do with it!

Support QField

We put a lot of effort into ensuring that QField, is of the highest possible quality and invest a lot of developer time in QField, QFieldCloud and QGIS. Plenty of it is sponsored by OPENGIS.ch because we believe in giving back to the OS geo community; part is sponsored by the clients that ask us to develop features , and part is financed through our support contracts that come with a sustainability initiative .

If you think that helping QField is a good thing, go to our donate page to find out more or immediately start sponsoring QField .

When Marco Bernasocchi (CEO of OPENGIS.ch and chair of QGIS.org) started working on QGIS for Android in Google Summer of Code a decade ago, the main job was to also build all QGIS dependencies for Android. This includes well-known libraries like proj and gdal and less-known ones like libxml2 or iconv. Each of them has its particularities and specific build flags. Working on this appears to be an endless iterative trial-and-error journey where you hope each day that eventually you will see the QGIS splash screen on your Android phone while all you see are endless lines of code and compiler errors.

As we know nowadays QGIS for Android has eventually seen the sunlight and its achievements are still the base for QGIS-based mobile apps like QField .

Sometime later we decided to modernize the build infrastructure into OSGeo4A a set of scripts where each dependency was built with a “recipe”. Modularized this way, it was easier to maintain, and general build code common for all libraries could be isolated. It was good enough to help drive QField for a couple of years, and a copy of it is still in use as the base for nowadays QGIS builds for macOS .

When we decided to make QField also available on other platforms like iOS, Windows and macOS we quickly realized that duplicating build chains scales really bad and maintaining this is an immense effort we wanted to avoid. There are a couple of existing C++ dependency management systems, none of which convinced us ultimately. Lucky for us a mail on the QGIS mailing list mentioned a new one called vcpkg which looked very promising.

A couple of days later we had a build for Windows and later in the same year for macOS. With many dependencies already available in modern versions. Cheers.

What’s left to do than just enable it for Android, and all our problems are suddenly solved? Alas, it’s not so easy. Cross-compiling is always a bit trickier. And so we started another journey to improve the situation. After a while, we had a working build chain based on vcpkg for Android in our R&D labs. Interestingly, this added a couple of features just because the community around vcpkg had already added them. For example using COG -based raster data via HTTP was suddenly working (for the record: thanks to the availability of curl which we never took care of adding ourselves in OSGeo4A).

Soon after we also wanted to try building for iOS with vcpkg, which after a few attempts also was successful, and even managed to resolve some weird crashes and other issues we had experienced with the old buildchain.

The main benefit was that we could upgrade the QGIS base libraries in one single place for every platform, in an isolated branch without playing the Jenga game on each upgrade.

The only unfinished business we still had was that support for iOS and Android was still available only in our own vcpkg fork.

So the last few weeks and months we have been working closely with upstream to bring building for Android and iOS up to the same level as desktop platforms. The relevant parts are now in a clean state.

Advantages of this approach:

• • Mutualized efforts on all the base libraries, also with programmers outside the geoverse
• • A vibrant community that ensures a noticeably fast upgrade of libraries
• • A clean dependency management system
• • A consistent set of dependency versions (gdal, geos, libpq, …) across all platforms
• • A clean caching system that will only recompile reverse dependencies on updates
• • We can upgrade a dependency in an isolated branch and only release it when it works on all platforms
• • We can optimize the code for a given set of dependency versions and if a bug is fixed in a certain dependency version, we are sure we can ship this fix on all platforms promptly
• • We maintain the QField source code as well as dependency versions in a single repository, what makes development more streamlined

Big thanks go to Alexander Neumann and Kai Pastor who both stand out for doing things the right and future-proof way.

As always, things come at a price, there was a steep learning curve involved, and some edge cases require attention. However, we are thrilled by the simplification this has brought us.

If you are maintaining a customized fork of QField, it is now a good time to start upgrading to vcpkg, since OSGeo4A has been archived and will no longer be maintained. The developer documentation of QField has been updated with relevant instructions.

If you have time to test the new build system, we will be happy to read about your experiences with it.

Introduction and first discussions

We were a group of six OPENGIS.ch members arriving mostly on Thursday, spending the day shopping and moving into our city apartment. In the evening we went to a Bisteccheria to eat the famous Fiorentina steak. It was big and delicious as was the food in general. Though, I am eating vegetarian since to compensate. On Friday we went to the Campus to meet the other contributors. After a warm welcome by the organizer, Rossella and our CEO and QGIS chair Marco Bernasocchi we did an introduction round where everyone mentioned their first QGIS version ever used. At this point, I became aware of the knowledge and experience I was sharing the room with. Besides this, I noticed that there was another company attending with several members, namely Tim Sutton’s Kartoza, which is also contributing a lot to QGIS. The first discussion was about QGIS funding model, vision, communication and on the new website in planning. This discussion then moved into some smaller groups including most of the long term contributors. I was looking around, physically and virtually, and tried to process all the new inputs and to better understand the whole QGIS world. Besides, I noticed my colleague Ivan having problems with compiling QGIS after upgrading to Ubuntu 22.04 which then motivated my other colleague Clemens to implement a docker container to do the compilation. Nevertheless, I postponed my Ubuntu upgrade. That evening we went out all together to have a beer or two and play some pool sessions and table football. Finally, the OPENGIS.ch crew navigated back home pairing a high-precision GNSS sensor with a mobile device running OpenStreetMap in QField . We arrived back home safely and super precise.

First tasks and coffee breaks

There was catering in the main hall covering breakfast, lunch and coffee breaks. It never took long after grabbing a cup of coffee to find yourself in a conversation with either fellow contributors or OpenStreetMap folks. I chatted with a mapper from Japan about mobile apps, an engineer from Colombia about travelling and a freelancer from the Netherlands about GDAL, to name 3 coffees out of many.

QGIS plugins website

After some coffee, Matthias Kuhn, our CTO and high-ranking QGIS contributor, asked me whether I could improve some ugly parts of QGIS plugins website . So I had my first task which I started working on immediately. The task was to make the site more useful on mobile devices which would be achieved by collapsing some unimportant information and even removing other parts. I noticed some quirks in the development workflow, so I also added some pre-commit hooks to the dev setup. Dimas Ciputra from Kartoza helped me finalize the improvements and merge them into master branch on github .

QGIS website downloads section

Regis Haubourg asked to help simplify the QGIS Downloads for Windows section on the main QGIS website. We played around in the browser dev tools until we thought the section looked about right. I then checked out the github repo and started implementing the changes. I need to say the tech stack is not quite easy to develop with currently, but there is a complete rework in planning. Anyway, following the pull request on github a lively discussion started which is ongoing by the time of writing. And this is a good thing and shows how much thought goes into this project.

Presentations

There were many interesting and sometimes spontaneous presentations which always involved lively discussions. Amy Burness from Kartoza presented new styling capabilities for QGIS, Tobias Schmetzer from the Bavarian Center for Applied Energy Research presented the geo data processing and pointed out issues he encountered using QGIS on this and Etienne Trimaille from 3liz talked about qgis-plugins-ci , just to name a few.

Amazing community

On Saturday evening a bus showed up at the campus and took us on a trip up to the hills. After quite a long ride we arrived at a restaurant high up with mind-blowing view of the city. I forgot how many rounds of Tuscan food were served, but it was delicious throughout. An amazing evening with fruitful conversations and many laughs.

The weather was nice and hot, the beers cold, the Tuscan food delicious and the contributors were not only popular Github avatars but really nice people. Thank you QGIS.

The example below demonstrates a scenario where animated raster markers are used to highlight active fires within the visible map extent. Notice how the subtle fire animation helps draw viewers’ eyes to those important markers.

Animated raster markers is a new symbol layer type in QGIS 3.26 that was developed by Nyall Dawson . Supported image formats include GIF, WEBP, and APNG.

The second example below showcases more advanced animated symbology which relies on expressions to animate several symbol properties such as marker size, border width, and color opacity. While more complex than simply adding a GIF marker, the results achieved with data-defined properties animation can be very appealing and integrate perfectly with any type of project.

https://player.vimeo.com/video/732691644

You’ll quickly notice how smooth the animation runs. That is thanks to OPENGIS.ch’s own ninjas having spent time improving the map canvas element’s handling of layers constantly refreshing. This includes automatic skipping of frames on older devices so the app remains responsive.

Oh, we couldn’t help ourselves but take the opportunity to demonstrate how nice the QField feature form layout is these days in the video above ? To know more about other new features in QField 2.2, go and read the release page .

Happy field mapping to all!

The lovely animal markers used in the zoo example above were made by Serbian artist Arsenije Vujovic .

TLDR: Since November 2021, Google has enforced new storage access limitations for apps published on its Play store which prohibits direct storage access on Android 11 and above forcing QField to adapt and rely on importing projects and datasets to access those.

If you are a QField beta user on Android 11 and above, you might have noticed a significant change in the way the app is handling storage in the latest set of betas released in early February of 2022. This blog post will go over the changes, explain why those had to be made (looking at you, Google), how to work in this new paradigm, and showcase some new benefits from the hard work done by OPENGIS.ch’s geoninjas.

It’s all gone! How can I access my projects and datasets?!

Starting with Android 11, apps are denied full access to main and external storage content. For QField, this means direct access to projects and datasets transferred and/or downloaded into storage folders is not possible anymore.

To work within this new confine, QField now has to import project folders or individual datasets into an app-dedicated storage location where Android allows for unrestricted read/write access.

Practically, this means that instead of being shown and having access to the full storage tree when clicking on the “Open local files” button, users are now shown a set of new folders named ‘QField files directory’, ‘Imported datasets’, and ‘Imported projects’ as well as a drop-down menu accessible via a top-right three-dot button.

Import project from folder

When importing a project from a folder, users will be asked to grant permission for QField to read the content of a given folder on the device’s storage via a system folder picker. When the folder is selected, QField copies the folder content (including its sub-folders) into the app’s ‘Imported projects’ location. Users can then open the project from there.

Re-importing a given folder through the drop-down menu action will overwrite preexisting projects given an identical folder name. That allows users to be able to update projects.

Note that feature editing, addition, and deletion will be saved into the imported project’s datasets, not in the original folder selected during the import process. More on how to find and handle those project datasets will come later in this post.

Import project from ZIP archive

Having to adapt to Google’s new set of rules did not come without its benefits. Users can now easily transfer projects into a given device by compressing the project content into a ZIP archive and having QField import that compressed project automatically. This can greatly ease remote deployment of projects by being able to send a single file to users.

Import dataset(s)

QField can also import individual dataset(s). Users will be asked to select one or more files via a system file picker, which will be copied into the ‘Imported datasets’ folder. Users will have to ensure that all sidecar files are selected when importing (e.g. a shapefile dataset would require users to select the .shp, .shx, .dbf, .prj, and .cpg files).

Just like imported projects, editing of datasets will be saved into the imported datasets, and not reflected in the original files.

Alright, but how can I retrieve modified projects and datasets?

Imported projects and datasets can be accessed directly using a USB cable. The location on storage is displayed in the top navigation bar when opening a local file.

On most devices plugged into a computer via USB cable connection, the path will be :/Android/data/ch.opengis.qfield/files/ where you will find both the Imported Datasets and Imported Projects folders within which your edited content will be located.

However, we’ve also added a nice new ‘Send to…’ functionality that allows for users to share and send datasets straight from QField using Android APIs. This allows for the sending of edited datasets directly to third party apps (Gmail, Drive, Dropbox, Nextcloud, your favourite messenger app, etc.).

Is direct copying via USB cable gone altogether?

Users can still avoid going through the import process by copying files via a USB cable connection directly into the QField app’s files directory. As mentioned above, the location on most devices will be :/Android/data/ch.opengis.qfield/files/.

What are the benefits from these changes?

Working out a functional solution to meet Google’s newly-enforced restrictions did not come without its benefits.

On top of what was already covered above - importing of compressed project ZIP files and sharing functionalities – QField is now fully integrated with Android’s cross-application document sharing APIs. This means that users can now directly open projects and files sent to them via their favourite browser/email/cloud/messenger app without the need to first download those files onto the device.

Altogether, the newly-coded importing mechanisms and integration with Android document APIs don’t only improve the ease of use for the average person, it also makes viewing and editing spatial datasets on QField far more secure. The imported projects and datasets reside in a location with access limited to QField only, meaning that its content is inherently far more protected from malicious access from third-party apps.

Why were these drastic changes needed?

As mentioned in the introduction, the changes were needed to comply with a set of new Google Play policies that came into force in November 2021. Users can read more on Google’s rationale on this page https://developer.android.com/google/play/requirements/target-sdk .

As part of the enforcement of these new policies, Google came up with an arbitrary mechanism to whitelist some apps which allows those to retain full storage access given the user explicitly allowed for it. We here at OPENGIS.ch believes QField had ample justifications to be whitelisted, however, Google’s appeal process judged otherwise after a series of email exchanges detailing our reasoning. While we have so far lost this argument with Google, we will continue fighting for our users and for their freedom to choose. If by any chance you have a good contact at Google that might be willing to listen to our reasoning, we would be grateful if you’d get in touch with us .

We hope this clarifies the recent changes and helps QField users adapt to those.

We’ve only been around for seven years. We could almost pass for a start-up. But OPENGIS.ch is already a household name when it comes to field data collection. OPENGIS.ch makes its field mapping tool QField available without restrictions (i.e. open-source) so that companies or even nations can collect their geographical data. In this way, data is brought from the field to the office and provides important insights for future decisions.

This was also the case for Tonga’s volcanic eruption. There, in December 2021, many relevant agricultural datasets were captured with “QField” and “QFieldCloud”. This currently helps the Ministry of Agriculture, Food, Forests, and Fisheries to analyse the damage after the volcanic eruption and the subsequent tsunami and plan the response.

Swiss software in use for Tonga

It is a technical and ethical decision for me. I want not only the privileged nations to benefit from our work.

Marco Bernasocchi, CEO

Co-founder Marco Bernasocchi’s credo is to focus on further developing the product (QField). OPENGIS.ch makes it freely available, so that nations like Tonga, with little financial means, can use professional software and invest their financial resources in reconstruction. “It is a technical and ethical decision for me. I want not only the privileged nations to benefit from our work. We are always developing the product and generate income mainly from support, paid developments and custom solutions. Our product, however, is publicly accessible”. This strategy is successful: the company is 90% financed by Swiss customers but the app is used all over the world. “Open source is a technological advantage for me. This way we get the input of many developers worldwide who are motivated to work out the best possible software. This leads to a superior product and is particularly valuable to me.,” adds Matthias Kuhn, co-founder of OPENGIS.ch.

This way we get the input of many developers worldwide who are motivated to work out the best possible software.

Matthias Kuhn, CTO

John Duncan, project manager at the University of Western Australia, who is working on the project in support of Tonga, explains the work done in December like this: " the workflow uses QField to map the extent of landscape features including agricultural fields and cropped holdings, recording detailed attributes about each feature’s farming system. QFieldCloud was used to support large teams of data collectors tasked with surveying every tax allotment across Tonga. The initiative has resulted in the detailed mapping of cropping and livestock systems for over 11,000 farms across Tonga’s three main island groups. These datasets provide actionable information for short-term decision making around food security, agricultural planning, and disaster response, and are a valuable resource for longer-term monitoring of agricultural and environmental changes in these climate-vulnerable locations."

The data was originally intended for food security and agricultural planning. But now they suddenly have acquired enormous value and can be used for disaster response planning.

John Duncan, University of Western Australia

Further information on QField in connection with Tonga:

• https://livelihoods-and-landscapes.com/use-case.html
• https://www.aciar.gov.au/project/asem-2016-101

Media articles

• https://www.suedostschweiz.ch/aus-dem-leben/buendner-software-im-einsatz-fuer-tonga
• https://www.inside-it.ch/buendner-open-source-app-nuetzt-der-katastrophenhilfe-in-tonga
• https://epaper.somedia.ch/issue.act?issueMutation=wzbw&issueDate=20220302#Redaktionell
• https://www.chilitalk.ch/schweiz/technologie/katastrophenhilfe-aus-laax/
• https://www.business-geomatics.com/2022/02/03/katastrophenhilfe-fuer-tonga-mit-open-source-loesungen-qfield-und-qfieldcloud/
• https://www.presseportal-schweiz.ch/pressemeldungen/weltweit-fuehrendes-buendner-unternehmen-liefert-wichtige-feld-datenerfassungs-app

About OPENGIS.ch

OPENGIS.ch GmbH is a Swiss software development company based in Laax. OPENGIS.ch employs 19 people and works mainly in the field of spatial software development, geodata infrastructure deployments and professional support. Personalised open source GIS solutions are often planned and developed as desktop or mobile applications. OPENGIS.ch finances itself through tailor-made customer solutions, professional support and adaptations. Link: https://opengis.ch

About the OPENGIS.ch product “QField” application

“QField” is an open-source app developed for efficient fieldwork in real-time in urban areas, with 5G connection or with offline data. The mobile GIS app combines a minimal design with sophisticated technology to conveniently bring data from the field to the office. Seamless QGIS integration, GPS centred, offline functionality, synchronisation capabilities, desktop configurable: “QField” is designed for fieldwork - simple but uncompromising. Link: https://qfield.org

About the OPENGIS.ch service “QFieldCloud”

“QFieldCloud” is a spatial cloud service integrated into “QField” that allows remote provisioning and synchronisation of geodata and projects. Although “QFieldCloud” is still in an advanced beta stage, it is already being used by many groups to significantly improve their workflows. Link: https://qfield.cloud

If you want to quickly try it out, head to https://qfield.cloud where our hosted solution is running and secure yourself a spot in the beta program.

QFieldCloud’s unique technology allows your team to focus on what’s important, making sure you efficiently get the best field data possible. Thanks to the tight integration with the leading GIS fieldwork app QField, your team will be able to start surveying and digitising data in no time.

What a journey it was and what plans do we already have… It has now been 10 years since I pushed the first scripts to build Quantum GIS for Android and it is incredible what we’ve been able to achieve thanks to a vibrant community, sponsors and especially our fantastic team .

At OPENGIS.ch  we strongly believe in giving back . We live from open-source projects and are deeply committed to sustaining their technological and economic well-being . We also believe everyone should have access to the best possible tools and knowledge. By committing ourselves to develop open-source applications, we give everyone access to powerful tools to plan, review and mitigate geospatial issues.

That is why we are even more thrilled to have created and open-sourced a professional data and team management solution for the best QGIS fieldwork app and would like to share a bit of the history of how we revolutionised field work by creating QField for QGIS.

Prehistory - QGIS for Android is born

Stone-, bronze-, iron-age, you get it, the beginnings of field mapping in the QGIS world were pretty rough around the edges. It all started thanks to me being accepted in the Google Summer of Code 2011 programme with the “QGIS mobile” submission . In the following 3 months, I’d try, with the help of my mentors Pirmin Kalberer and Marco Hugentobler, to get Quantum GIS to run on my tablet.

The first start

Hi all, it is a pleasure to announce that I finally got Quantum GIS to start on an android (3.2) tablet (Asus transformer). I tested as well on a Samsung Galaxy phone with cyanogen mod 7 RC1 and it works well (with the obvious screen size limitations).
Qgis still doesn’t load many elements, but the GUI is there and the rest should be only minor issues. I’ll post more as soon as I make further developments. Meanwhile, if you want to test the apk, you can download it from my GitHub here . For building your own, have a look at qgis wiki

/2011/08/17/qgis-on-android/

https://vimeo.com/27793965

The first ever video about QGIS on Android

A proper GUI

See my last posts. In short, I managed to get qgis packaged as an APK and to properly run with only one major problem. The map canvas is always black. I’ll investigate this till Tuesday.
Cheers

/2011/08/18/qgis-on-android-has-a-proper-gui/

https://vimeo.com/27854857

After 3 months of intensive work, QGIS for android finally has a a proper GUI

Blazing fast startup

Hi, I just managed to create an APK with all the resources needed by qgis …

The only inconvenience at the moment is that at the first startup the app shows a black screen while it’s copying the files for about 30 to 60sec so just be patient and remember that the whole app will take up to 230MB (it installs on external storage by default)

/2011/08/19/qgis-on-android-has-complete-gui-and-supports-translations/

A working reality

I still remember the feeling that day when after almost 3 months, of fighting with shell scripts, patching of build systems, debugging via ADB, writing C++ in Java wrappers and so on, my Quantum GIS test project was suddenly running on my tablet… I Was so happy I just went running in the mountains :).

Just a quick screenshot to show that qgis on android is now a working reality. Tomorrow I’ll make a video and so on. The major missing thing now is reading SHP files ad maybe spatialite… maybe tomorrow. Now it’s Sunday ?

/2011/08/21/qgis-android-works-2/

GSoC 2011 results

At the end of the Google Summer of code, I received my MSc in geoinformatics and left for 3 Months to Indonesia working as a consultant/developer for the World-bank Global Facility for Disaster Reduction and Recovery.

So, it is over, after 3 months of working on QGIS for android as a Google Summer of Code project it is now time to wrap up what I did and didn’t do.
First of all a QGIS android app exists now and it has many features including:
– reading/writing projects
– raster support
– spatialite support
– WMS support
– (apparent – untested) WFS and Postgres support
– partial shape files support (string attributes still crash the app)
– Fully functional GUI (SymbologyV2 doesn’t work yet)
– (all?) core C++ plugins beside globe (any takers? ?)
Furthermore, I created a series of build scripts that make it easier to set up a dev environment.
Unfortunately, I didn’t manage to implement live GPS tracking and a larger GUI optimisation, but all in all, I’m very happy with the results and seeing that few peoples are already testing it. Soon ill publish a video.
cheers

/2011/08/24/gsoc-2011-final-report/

Quantum GIS for Android was a reality and I was fully committed to keeping working on it. Turns out I wasn’t wrong :)

Classical - QGIS for Android grows

The Next Era of QGIS for android is what could be seen as the time of great knowledge enhancement, philosophical musings and the rise of the first great features including:

• GPS support including external GPS
• Compass support
• Right-click support
• Pinch zooming, tap zooming and panning
• armeabi-v7a optimizations
• the 3.2" screen experiment
• Extreme environment testing

https://vimeo.com/36862461

Middle Ages - QGIS Mobile

The dark ages, times of instability, change and some setbacks. Sounds terrifying, it was not at all, on the contrary it was a very formative period that apexed with the fantastic release of QGIS 2.0 for android.

The QML app experiment

From the beginning on, the idea behind QGIS for android was to eventually ditch the GUI and build a dedicated one for touch devices. The Google Summer of code 2012 by Ramon Carrillo mentored by myself set off to do that. Unfortunately, the project encountered some roadblocks and never took off as expected, but it did lay some ideas and code for the future.

The Python failure

Probably the major setback in QGIS for android’s history was the non-completion of the Python support. I got really close to it multiple times but unfortunately never managed to tame the snake. Maybe something we’ll look into in future, who knows.

/2013/05/20/python-support-in-qgis-is-getting-there/

/2013/05/21/getting-closer-to-taming-the-snake/

/2013/05/21/python-suport-even-closer/

The QGIS 2.0 release

The pivotal point of the Middle Ages was definitely 20.09.2013, when Tim Sutton presented to a full auditorium the shiny new QGIS 2.0. And along with it it introduced the general availability of QGIS 2.0 on android. The first real QGIS version for mobile devices was finally available for the broad public.

After the launch followed a very active time of keeping QGIS for Android on pair with the desktop versions leading to a regular release of updates on the playstore between 2013 and late 2014. This is also when Matthias Kuhn started committing to the QGIS for Android repository .

https://vimeo.com/75261402

Early Modern - QField for QGIS is here

Humanism, Renaissance and Enlightenment are what we saw happening in the period between 2015 and early 2019. Field users were put at the centre of the design process, new ideas were explored and a new name was chosen to reflect the main goal of the application: Make fieldwork as efficient as possible.

Early 2015 was also when Matthias Kuhn and myself decided to join forces in OPENGIS.ch LLC.

The rebranding

The project never had a clear name, at times it was called QGIS for Android at times QGIS mobile, we felt that to clearly convey what we were building we needed a clear, simple and poignant name.

It is with great pleasure that we want to announce the new name for what was briefly known as QGIS mobile.

Please welcome QField for QGIS™!

After long thinking about various names and variants including QGIS mobile, QTouch, OPENGIS.ch QGIS mobile, QWork, and many more, we felt that QField represents best what we want to archive. A field data capture and management app fully compatible with QGIS™.

/2015/01/28/qgis-mobile-is-now-qfield/

https://vimeo.com/116231850

QField Experimental is out, after a couple of months of requirements gathering, private early alpha testing and foremost tons of  emails requesting access to the testes group we decided today to put the current BETA version in the playstore.

/2015/06/15/qfield-in-the-wild/

Streamlined installation

Since the beginning of QGIS for android, to distribute the needed Qt libraries, we used a project called “ministro”. This was interesting because it allowed to download the libraries only once but on the other hand, it was a very painful experience for the user that needed to install a second app before getting QField to start. Around the end of 2015 it was so far, we finally managed to get rid of that dependency and make the installation process as streamlined as possible.

It’s done, finally we managed to get rid of Ministro so that we finally can say, QField runs on any android from 4.0.3 (ICS). This makes as of today (according to google ) 96% of the android installations worldwide.

/2015/12/01/qfield-for-android-5/

Release candidates

In these 3.5 years, a continuous, mainly volunteer-driven iterative process led by Matthias Kuhn made QField grow to the point where we felt confident it was time to launch QField 1.0.

After a series of release candidates with lots of feedback from the community, we felt it was time to move into a New Era.

It was a long and winding road but we are very excited to announce the general availability of QField 1.0 Release Candidate 1.

Packed with loads of useful features like online and offline features digitizing, geometry and attributes editing, attribute search, powerful forms, theme switching, GPS support, camera integration and much more, QField is a powerful tool for those who need to edit on the go and would like to avoid standing in the swamp with a laptop or paper charts.

/2019/01/08/qfield-1-0-rc1/

Modern times - QField 1.X

Fast forward to March 28th 2019,

Let’s get straight to the point

It’s official, QField for QGIS 1.0 is out!

Get it while it’s hot on the Playstore ( qfield.org/get ) or on GitHub

We are incredibly pleased and proud of just having released such a jewel and are convinced that thanks to all its features and conscious design choices, QField will make your field digitizing work much more efficient and pleasant.

/2019/03/28/qfield-1-0-is-here/

Recent releases

In the last 2 years the development pace increased tremendously, the sponsored featured grew as never before, QField rating skyrocketed to 4.7 ⭐ we currently have 100'000 active users and we’re getting around 500 new users every day.

Our QField core team grew more and now thanks to David Signer’s lead and Mathieu Pellerin keen eye for UX we’re pushing QField even further.

Going into all releases would be so much information that this post would turn into a 3 volumes classic, and since starting from QField 1.0 we’ve documented each new release, we’re just going to link them: /category/qfield/highlights/

The future is cloudy - ehm sunny of course ;)

Yesterday we published QField 1.9.6, which is going to be the last 1.X release and will put QField 2.0 into the beta channel so that every beta tester can start using QFieldCloud without having to use the developer version .

But that is a different story and you can read all about it in our latest newsletter …

This year started off hi-speed for us. There’s been already a lot of coding, designing and teaching, and we’ve thrown ourselves into these things we love to do. And we published another QField release last week that I completely forgot to announce in this blog. But here it is. It’s QField 1.8, Selma. And it’s packed with cool features.

Let’s have a look.

Freehand drawing

This might be a feature that brings a lot of fun and professionalism to your work. The freehand digitizing mode allows the user to “draw” lines and polygons with the stylus pen. The mode is available for adding line/polygon features as well as for the ring tool of the geometry editor.

Together with the powerful options in the topological editing where you can snap to existing features and avoid overlaps, it’s very convenient to digitize complex shapes.

Zoom in and out

Speaking of fun. One day, a guy from the QGIS community asked us if we could implement the functionality to zoom in and zoom out like he is able to do with an app called Maps from a company named Google. I didn’t know what he meant, but he explained: Single finger double tap-and-hold zoom gesture (which allows you to zoom smoothly from anywhere on the screen). Wow! Didn’t know it before, but it’s super neat! So we made it available in QField as well.

If you are used to it, it’s quite easy. But for beginners it can be a bit difficult. So for people who are not that deft - and to keep the UX self-explanatory and simple - we also added two buttons + / - to zoom in and zoom out with just one finger. So now even a clumsy pirate with a hook instead of a hand can collect data with QField :-)

Powerful Relation Reference Widget

Let’s be a little bit more serious and talk about how powerful the relation reference widget has become.

View and Edit selected feature

The intuitive eye icon next to the widget lets you open the form of the referenced parent feature to view and edit it.

Autocomplete mode

When auto-complete is enabled, you can easily perform a search in all available parent features.

With space-separated input, you can search for the beginning of multiple words in the display name of the parent features. So in this example searching for “Ma” will find the name “Mae” and “Marie” and using the second word “buck” it finds the Buckfast bees - so the entries containing both values will be listed on top.

Integration of external GNSS receivers

In case you wondered, why we did not release 1.8 Selma earlier? Because we wanted to have it feature loaded and rocket proof. And one of this cool feature is the integration of external GNSS receivers.

QField can receive and decode NMEA sentences received via Bluetooth from an external GNSS receiver (such as an EMLID Reach RS2) without the need for any third party app.

Search for paired Bluetooth devices in the device settings, connect to the external device and receive the GNSS information.

Select vertical grid shift files

In the QField settings, you can select a grid file on your mobile device by placing it in a directory named QField/proj in the main folder of the internal storage to increase the vertical location accuracy.

Postgres Config File

If you once started using PostgreSQL configuration files, you don’t want to live without them anymore. And when you use it on your PC, I’m sure you want to use it on your mobile device as well.

Define Postgresql services in a pg_service.conf file and use it on QField by placing it directly in a directory named QField in the main folder of the internal storage.

Add reload data button

The layer properties have been polished and in addition, you will find a button to reload the layer data. This is especially useful if you use WFS layers from which you need to get updates.

Register extra fonts

Also, you can add TTF and OTF font files into a directory named QField/fonts at the main folder of the internal storage to use the nice fonts you like.

How beautiful is that!

Support of new raster file formats

By the way: Many new raster file formats are supported - most notably COG . While not yet supported as remote format streamed directly from the web, it is also a high performance format if used locally

What about the cloud?

You might be one of these people eagerly waiting and always receiving the same message: Keep calm, it’s coming soon. Sorry for that. But when we do something, we do it right. And we prefer to have a stable solution than to publish half baked stuff. We are still highly busy coding, testing and promoting QFieldCloud . It’s announced for this spring / early summer.

Also, keep an eye on the @QFieldForQgis and @QFieldCloud twitter accounts to stay updated.

We ♥ our Beta Testers

The Beta Testers are our secret heroes. They report bugs and inconveniences before the normal users are bothered with them. Thanks to the Beta Testers QField is so stable. And at this point we would like to say: Thank you, test heroes!

And what do the beta testers get in return? Well, they can be the very first to try out the great new features. This is exciting and fun. So don’t hesitate. Join the beta.

In the Play Store you should find this section under the “QField for QGIS” app listing. Enjoy the feature frenzy and report the problems at qfield.org/issues

And if you wondered…

… why this release is called “Selma”. It’s of course because of the Mount Selma in Australia… And because it’s the name of my beloved cat. That’s her - Selma Eulenkopf - staring at me while I’m coding QField.

As usual get it now on the play store or on github !

The days are getting shorter and the wind blows colder. It’s always good to be in a good company outside while getting your mapping work done. QField will be your reliable companion.

We know, QField 1.6 Qinling has only been out two months and with its amount of new features and stability improvements, it would have deserved a longer primetime. But we just couldn’t withhold you all the new great stuff we’ve been building lately.

So let’s welcome QField 1.7 Rockies. And yes, we mean THE Rockies , where QField is looking for plenty of new buddies.

Let’s have a look.

Merging features

Splitting of a feature has been possible for quite some time. Now the merging of features of multipolygon-layer is possible as well. Select them and merge them - easy like that. The first selected feature gets the new geometry and keeps its attributes.

Filters in the Value Relation Widget

The value relation widgets provide an easy selection of a related feature. Often it’s used for lookup tables but sometimes the related tables contain a lot of entries and the list of the possible values is long.

Using filters in the value relation drop-down can increase the efficiency in selecting the correct value. It can be configured by expressions in QGIS, so it’s possible to have the content of the drop down depend on the values entered previously in other fields.

In the screenshot above there is a Map Value Widget with “forest” and “meadow” as values. On selecting “forest”, only the trees appear in the Field “Plant Species”. On selecting “meadow” there would be listed flowers instead.

Go to coordinates in the Search

The search has not only been improved in its appearance, but it’s handling is much more comfortable with a button to clear the text and easy opening and closing.

Additionally, we added the possibility to jump to coordinates. Searching a place you know the coordinates of is now super simple. And this means that digitizing that precise geometry with known coordinates is finally possible.

QML and HTML Widget

You might remember when we introduced the QML widget in QGIS . Now it’s in QField as well. And it’s not alone. HTML widgets are supported too.

This provides a lot of possibilities to display information with texts, images and charts and it even allows you interaction.
Do you need help setting up complex forms? Don’t hesitate to get in touch with us !

Expandable legend icons

The legend items are now expandable and collapsible.

Wait a minute… Wasn’t this possible before? Yes. It was possible in earlier versions. But why it’s announced here as a new feature?

Because now it is built in a future proof manner thanks to all the people and organisations who care for QField and bought a support contract with the sustainability initiative  or committed to a recurring sponsorship .

Some technical background: As you may be aware QField uses QGIS under the hood and QGIS uses Qt under the hood. Qt is currently used in version 5. Qt 5 is not that young any more and has a lot of functionality which is no longer supported by Qt. The old legend was based on the tree view, a deprecated module. Using it had some implications like the suboptimal support of HiDPI. Furthermore, these deprecated modules will disappear in the soon-to-come Qt 6.

As you can see, keeping QField at the quality we and you expect requires a lot of maintenance work. It is of utmost importance and only possible thanks to sponsoring since paying for fixing already existing features is less attractive for most people.

What will the future bring

In the last weeks, we have been highly busy on coding, testing and promoting QFieldCloud and we are very happy to be able to announce it very soon. So be prepared.

Also, keep an eye on the @QFieldForQgis and @QFieldCloud twitter accounts to stay updated.

Open Source

QField is an open source project. This means that whatever is produced is available free of charge. To anyone. Forever. This also means that everyone has the chance to contribute. You can write code, but you don’t need to. You can also help translating the app to your language or help out writing documentation or case studies or by sponsoring a new feature.

And now…

… enjoy QField 1.7 Rockies and have a nice autumn!

We have been very busy over the last few months working on a new and shiny QField release. We have added many new features that increase efficiency on the field or allow for new workflows. In parallel, we have also been working on ironing out a series of issues and improving the overall user experience to make the app as pleasurable to use as possible. The result is QField 1.6 which has been published now.

Enough of the highlevel talking, let’s see what has been done.

Multi editing

Do you recall Geography lesson 101, Toblers first law? Everything is related to everything else. But near things are more related than distant things.

Very often there are similar objects nearby which share a property, tree species tend to group, human created objects like street light types or street paint markings tend to be of the same type at the same location.

With QField 1.6 it is now much easier to select a couple of features and change an attribute with very few taps. Identify a feature, long press an identify results, select more features and click the edit attributes button.

Stylus support

Sometimes it is just too cold to be working with fingers (although of course you can get capacitive gloves too). Or you just prefer to be working with a pen. QField 1.6 comes with support for stylus pens. If your device ships with one, give it a try.

Lock geometries

For some scenarios, especially in asset management, you only need to change attributes of existing objects and never add new features, delete features or change geometries. This can be configured through QFieldSync and set in the layer properties.

Image name configuration

Did you ever want to have the file names of your pictures to match the feature id, the layer name or any free text? The expression based configuration in QFieldSync offers now complete freedom in naming your images.

Legend and UX and legacy code

Didn’t expect to read UX and legacy code in one single title?

QML is the technology on which the QField user interface is built. QML ships a lot of user interface elements in a library called “Quick Controls”. A long time ago already it received an update from version 1 to version 2. Up to recently we still have been using some elements from version 1, which had an effect on high resolution displays not being able to properly display everything. To workaround that we introduced a lot of band aids, to improve the situation. We are very happy, that by migrating the legend and few other remaining elements to Quick Controls 2 in version 1.6, we have been able to completely drop this code.

Topological editing

QGIS can detect shared boundary by the features, so you only have to move a common vertex once, and QGIS will take care of updating the neighboring ones. So does his little college QField since this release.

Fast editing mode

For the real adventurers who know what they are doing this release brings the fast editing mode. In this mode, the features will automatically be stored on every change. The user interface is lighter and it combines perfectly with the topological editing.

Unter the hood

We have brought the whole technology stack up to speed with modern requirements. Proj and GDAL have been updated to recent versions. This helped to mitigate a couple of issues with coordinate transformations that were completely misplaced . It also paves the path for a future with datum corrections and always more important high precision measurements.

Known Issues

Unfortunately, we are experiencing a crash on startup with 32 bit devices. These devices are not that common any more, but if you have a device that is already a couple of years old it’s very well possible that it comes with a 32 bit cpu builtin. Despite the team’s hard efforts to isolate the reason, we were not able to find out what it was yet. Because of this we will not be able to update to 1.6 for these devices at the moment. We still hope that we will find a solution for this but don’t know yet when this will be.

We have updated proj to version 6. This brings plenty of bug fixes with coordinate handling. Among other things it adds support for using datum grids (gsb files) for very precise transformations, it is not yet possible to install those on the device. You will get an information message in the about dialog if your project happens to fall into this category. In this case, as a workaround switch the CRS of the project to a CRS with a known conversion that works without grid files.

What will the future bring

You guessed it already, we are not tired and have plenty of things stacked for the future. Prepare for more exciting updates for attribute forms and also for QFieldCloud which is right now being tested in our R&D labs.

Also keep an eye on the @QFieldForQgis Twitter account to stay updated.

Open Source

QField is an open source project. This means that whatever is produced is available free of charge. To anyone. Forever. This also means that everyone has the chance to contribute. You can write code, but you don’t need to. You can also help translating the app to your language or help out writing documentation or case studies or by sponsoring a new feature.

Thanks to sponsors

Various organisations have helped to make this new release become a reality. Without the support of people in organisations who believe in the future of QField and open source tool for geospatial in general. The whole team behind QField would like to thank you with a big applause!

We would like to use WMS offline on QField. For that, we need to figure out what is the best way to get a raster from a WMS and which format is the most efficient (size and performance).

In this post we’ll show you is how to generate the ideal raster file from a WMS and the results of our efficiency tests for the the different raster formats.

WMS to GPKG

The simple way

If there is no limitation on the WMS or you need only a small region, here is the easiest process.

1. Request the WMS and store a description file in XML :

gdal_translate "WMS:url" file.xml -of WMS

1. Create a Geopackage from the information in the description file.

gdal_translate -of GPKG file.xml file.gpkg -co TILE_FORMAT=JPEG

That was quite simple, right?

The larger datasets way

If the command takes too much time, it means that it is trying to download too much data and could be caused by downloading higher resolution data than required.
The command might even completely fail if it contains a request for bigger data blocks thant the server allows.

Here is the process to get larger datasets in a simple way. Let’s use a real example:

1. Use gdal_translate "WMS:https://www.gebco.net/data_and_products/gebco_web_services/web_map_service/mapserv?request=getmap&service=wms&crs=EPSG:4326&format=image/jpeg&layers=gebco_latest&version=1.1.0" test.xml -of WMS
2. Open the test.xml file for editing, here you’ll find the parameters of the WMS. We change the “SizeX” to 3600 and “SizeY” to 1800. By changing these parameters we lower the resolution. It is important to keep proportionality.
3. Another thing we need to change are “BlockSizeX” and “BlockSizeY” that define the size of the tiles. We change both to 2048.
4. Finally, use gdal_translate -of GPKG test.xml test.gpkg -co TILE_FORMAT=JPEG
5. To make a Geopackage pyramid use gdaladdo GPKG:test.gpkg:gebco_latest. It will replace the Geopackage, if you want to keep the original one, you need to copy it first.

Now you have a raster Geopackage that you can use in QField.

Testing raster formats

Preparing the files

As first step we exported our test orthophoto WMS to a plain GeoTIFF using QGIS’ default behaviour.

Formatgdal_translategdaladdogpkg JPEGgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_JPEG.gpkg” -co TILE_FORMAT=JPEG gpkg PNGgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_PNG.gpkg” -co TILE_FORMAT=PNGgpkg PNG_JPEGgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_PNG_JPEG.gpkg” -co TILE_FORMAT=PNG_JPEGgpkg PNG8gdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_PNG8.gpkg” -co TILE_FORMAT=PNG8gpkg WEBPgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_WEBP.gpkg” -co TILE_FORMAT=WEBPgpkg pyramid_JPEGgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_JPEG.gpkg” -co TILE_FORMAT=JPEGgdaladdo GPKG:C:\test\test_JPEG.gpkg:test_gpkg_JPEG gpkg pyramid_PNGgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_PNG.gpkg” -co TILE_FORMAT=PNGgdaladdo GPKG:C:\test\test_PNG.gpkg:test_gpkg_PNGgpkg pyramid_PNG_JPEGgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_PNG_JPEG.gpkg” -co TILE_FORMAT=PNG_JPEGgdaladdo GPKG:C:\test\test_PNG_JPEG.gpkg:test_gpkg_PNG_JPEGgpkg pyramid_PNG8gdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_PNG8.gpkg” -co TILE_FORMAT=PNG8gdaladdo GPKG:C:\test\test_PNG8.gpkg:test_gpkg_PNG8gpkg pyramid_WEBPgdal_translate -of GPKG “C:\test\ortho_test.tif” “C:\test\test_WEBP.gpkg” -co TILE_FORMAT=WEBPgdaladdo GPKG:C:\test\test_WEBP.gpkg:test_gpkg_WEBPJPEG2000gdal_translate -of JP2OpenJPEG “C:\test\ortho_test.tif” “C:\test\test_jpeg_2000.jpg"COG DEFLATEgdal_translate “C:\test\ortho_test.tif” “C:\test\test_cog.tif” -co TILED=YES -co COPY_SRC_OVERVIEWS=YES -co COMPRESS=DEFLATECOG_JPEGgdal_translate “C:\test\ortho_test.tif” “C:\test\test_cog_JPEG.tif” -co TILED=YES -co COPY_SRC_OVERVIEWS=YES -co COMPRESS=JPEGtifIn QGIS right click on the layer > export > save as > (see the details in the picture under the table)MBTgdal_translate -of MBTILES “C:\test\ortho_test.tif” “C:\test\test_mbt.mbtiles"Creation commands for all the tested formats

Rendering test results

We have tested many formats, here is a table with the results of the size and rendering speed in QGIS and QField.
To analyze the speed we used qgis_bench.exe -i 10 -p "C:\test\test.qgs" >> "C:\test\test.log.
Qgis_bench is a tool that renders a QGIS project a number of times to get performance measurements. The parameter -i is to define the iterations and -p is the project used which contains only the generated raster.

FormatExtent [m]File size [GB]Total_avgTotal_maxdevTotal_minTotal_stdevgpkg JPEG52'880/29'2300.4250.242255.7815.539244.984gpkg PNG52'880/29'2302.9412.002490.328152.142259.859gpkg PNG_JPEG52'880/29'2300.4250.125256.8756.750245.172gpkg PNG852'880/29'2301.4283.875296.40612.625271.250gpkg WEBP52'880/29'2300.3330.238348.10973.534256.703gpkg pyramid_JPEG52'880/29'2300.51.0093.4062.3970.688gpkg pyramid_PNG52'880/29'2303.01.2083.2812.0730.688gpkg pyramid_PNG_JPEG52'880/29'2300.61.4914.3442.8531.016gpkg pyramid_PNG852'880/29'2301.61.5084.3752.8670.969gpkg pyramid_WEBP52'880/29'2300.41.3334.9063.5730.766JPEG200052'880/29'2301.113.888136.109122.2220.219COG DEFLATE52'880/29'2303.6264.427273.09425.411239.016COG_JPEG52'880/29'2301.014.778131.172116.3941.734tif52'880/29'2306.42.3676.7344.3671.672MBT52'880/29'2304.40.4694.6414.1710Comparison of file size and rendering speed of different raster formats. “Total” columns are rendering times in [s]. Lower file size is more storage friendly, lower Total_avg is more performant.

Analysis

File size

The Geopackage WEBP (with and without pyramid) has the best result for file size, but it is not _yet_supported by QField (from 1.6) and is only slightly smaller than the JPEG variant.

Plain GeoTiff, MBTiles, Cloud Optimized GeoTIFF (COG - DEFLATE mode) and Geopackages with PNG generate by far the largest file sizes (up to 20x larger) and are thus not recommended.

Rendering speed

MBTiles are on average double as fast as JPEG Geopackages with pyramids which in turn are more than double as fast as GeoTIFF and 15x faster than COG.
Geopackages without pyramids are 200 to 400 times slower.

Conclusion

Even though MBTiles render faster than the Geopackage pyramid JPEG, they come with an almost 10x bigger storage requirement which makes us say that the best offline raster format supported by QField is Geopackage pyramid JPEG or if you need transparency and slightly smaller files Geopackage pyramid WebP.

If you need transparency before QField 1.6, the best results are achieved with Geopackage pyramid PNG_JPEG.

Olavtoppen!? yes, the highest point of Bouvet Island, the remotest island on Earth. And sure enough, QField would follow you there!

As usual, get it on play store or download it from GitHub.

QField Crowdfunding Campaign

Before digging into all the new goodness that you will find in QField 1.4, let’s get a big “Thanks” out to everybody who supported our crowdfunding campaign for improved camera support and all our customers that agreed to open source the work we did for them.

If you like QField, want a new feature or would like to support the project, don’t hesitate to get in touch with us.

Usability enhancements

In QField 1.2 we started to improve on the usability of the user interface. We are constantly working on this with a usability expert to get the user interface to be even more appealing and user-friendly.

Besides lots of clean-up and polishing, QField received two major improvements, a portrait mode and a new welcome screen with recent projects.

Welcome screen with recent projects

QField is all about efficiency. While favourites folders in the file selector already give a great productivity boost, very often we work with the same 3-4 projects. This is why we redesigned the welcome screen to list the last five project used. And if you look carefully you might get a hint of what will be coming soon…

Portrait mode

QField now flawlessly works in portrait mode. We heard you say you needed a comfortable way to work in portrait mode, especially on smartphones. QField forms and button placements are now optimized to be easy to use with your thumbs.

New features

We keep on listening to your feedback and prioritize new features based on it. We did implement some minor features like allowing hiding legend nodes and printing to PDF using the current extent. But this time’s superstars are three highly expected features: Splitting of geometries, compass integration and, yes you guessed right, native camera and gallery app support!

Split Features

A new editing tool is available that allows for splitting existing features. This adds an even more powerful operation to an already impressive geometry editing tools set.

Compass integration

A long-awaited feature! QField now shows you on-screen in which direction you are looking, walking, driving, flying or warping direction. This makes it much easier and more pleasant to navigate in the field.

Native Camera and Gallery

It is now possible to use your favourite camera app so that you have more control over how pictures are taken. It is also possible to select pictures which are already on your device by using the new gallery selector.

Pro Tip: You can use any camera app. For example, you can use the open camera app to create geotagged photos if your preinstalled system camera doesn’t save positioning information in EXIF data.

Pro Tip 2: You can use an image annotation app to add notes, sketches, drawings and so on to your images and then choose them from QField via the add from gallery button.

Antenna Height Correction

For high precision measurements, it’s possible to compensate your altitude by a fixed antenna height. This will then automatically adjust all the digitised altitude values.

JPEG 2000

Support for JPEG 2000 raster datasets was added. This lossy format offers a compression rate at par with proprietary formats like ECW or Mr SID.

Pro Tip: save your base maps in JPEG 2000 to save storage.

New Languages

Thanks to the hard work of our community, QField is now also available in Turkish and Japanese.

New packages

You say: wow that’s a lot! We say: there is more :)
We have upgraded our whole building infrastructure so that you can comfortably get even more QField goodness without having to uninstall your production ready QField.

Automated master builds

After each pull request is merged into our master code, a new package is created and automatically published on the playstore in a dedicated app called QField for QGIS - Unstable (Early Access) . Installing this app will allow you to always have the latest build of QField for testing and giving feedback. On your device, this app is completely separated from the production-ready QField and has a distinctive black icon so that you do not confuse it.

Pull request builds

QField is an extremely active project, and as you see we develop multiple functionalities and fixes at the same time. If you’re particularly interested in one of this, our continuous integration fairy builds and publishes new packages automatically at each commit directly to the pull request you are interested in. To see what we are currently working on, have a look at the pull request overview page .

Experimental Windows builds

Last but definitely not least, we’ve set up an Azure CI infrastructure to build QField for windows. For now, we still consider this experimental but we already had some very successful testing. If you are interested in testing out QField for windows you can get it here , remember it is experimental so don’t use it in production yet and give us as much feedback as possible :)

What’s next?

As you can imagine we’ve had a very busy start of 2020, but even more is to come soon with the next releases of QField. We’d like to thank again all companies and individuals that actively use QField and that invest in making QField even better. If you feel QField misses something you need or would like to support the project, don’t hesitate to get in touch with us.

As usual, get it on play store or download it from GitHub.

QField Crowdfunding Campaign

Before digging into all the new goodness that you will find in QField 1.2, let’s get some big “Thanks” out. What QField currently is was mostly possible thanks to customer projects of which the outcome could be mutualized. Thanks a lot to all of you that agreed open source is all about making things possible together!

Over the years at OPENGIS.ch we have also donated an unimaginable amount of hours to make QField the project you have grown to love and this makes us very proud!

To keep the momentum we now rely on all QField users to help us move one step further. Therefore we created a crowdfunding campaign for improved camera support. As well as another round of general polishing and bug-fixing.

If you like QField, now is the time to show some love and support our crowdfunding campaign .

New features

This new release comes with exciting new features and also contains some first usability enhancements. More of that later.

Value relation widget

If you need to choose the type of a material of the manhole you are inspecting or to select the owner of the parcel which you are drawing, that’s when you want a combo box with available values. This has been possible in QField for a long time, but was hard to set up. Since this release it’s much easier thanks to the integration of value relation widgets.

Not only do they make configuration easier, they also allow for a completely new functionality: managing multiple selections. This will offer a checkbox for every possible value from the list and you are free to save any combination of values.

Authentication dialog for protected services

Just as well as we love open source, we love open data. But not all data are meant for public and some deserve protection. Even more you don’t want to allow everyone to edit your data.

QField will now show an authentication dialog, whenever one of your WMS, WFS, WFS-T or Postgres layers requires a login.

Improved snapping support in expressions

One of the main reasons for QField’s incredible versatility is the use of expressions everywhere. We have just added yet another piece to that: when you snap to a feature, all the snapping details are available for your new feature. With this in place, if you add a new signpost on a street, you can fill in the street_id attribute automatically.

As a nice little extra, the Z (and M) values of snapping results are automatically applied to the new vertices and points.

Usability enhancements and Bugfixes

We also started to improve on the usability of the user interface. We are working on this with a usability expert to get the user interface to be even more appealing and user-friendly.

This is just the start, stay tuned for more usability improvements which are inbound.

As usual, a number of additional bugs have also been corrected, most notably the checkbox widget is now behaving as expected.

Latest Qt 5.13 and Arm64-v8a support

According to Google guidelines, we added support for the Arm64-v8a architecture and while we were at it, we also migrated to the shiny new Qt 5.13 and it’s next-gen menu system.

For this release, we did not upload any x86 packages to the play store since it would have forced us to also have to upload an x86_64 package. If you need the x86 package, you can find it on Github . Obviously, in future releases we’ll add those to the play store as well.

We are launching the # MyQField challenge. Follow us on Twitter and show us how you use @ QFieldForQGIS by tagging your tweets with # MyQField and # dataisoutside . The tweet with most likes and retweets by 24.4.19 wins the training!

Rules

• You need to follow @ OPENGISch and @ QFieldForQGIS
• Likes count single, retweet count double
• You can participate multiple times
• We will count on 24.4.19 at 20:00 CET
• The prize is a half day jump-start package worth 550€

Fine boring prints:

• Recourse to the courts is not permitted
• There will be no correspondence regarding the competition
• No cash payouts can be made
• Participants have no enforceable claims to the transfer, payment or exchange of winnings

https://twitter.com/OPENGISch/status/1115978883759837184

It’s official, QField for QGIS 1.0 is out!

Get it while it’s hot on the Playstore ( qfield.org/get ) or on GitHub

We are incredibly pleased and proud of just having released such a jewel and are convinced that, thanks to all its features and conscious design choices, QField will make your field digitizing work much more efficient and pleasant.

Packed with loads of useful features like online and offline features digitizing, geometry and attributes editing, attribute search, powerful forms, theme switching, GPS support, camera integration and much more, QField is the powerful tool for those who need to edit on the go and would like to avoid standing in the swamp with a laptop or paper charts.

Let’s see what makes QField probably[su_tooltip style=“bootstrap” rounded=“yes” position=“top” content=“We might be biased, but we do believe it”]*[/su_tooltip] the best mobile GIS in the world.

Work efficiently

QField focuses on efficiently getting GIS field work done and combines a minimal design with sophisticated technology to get data from the field to the office in a comfortable and easy way.

Fast and reactive

Thanks to the underlying QGIS engine and a lot of optimizations, QField is powerful and snappy. Even with complex projects, QField is a joy to work with.

Easy handling

Conscious design choices and a continuous focus on a minimal user interface drive QField’s development. This allows us to deliver a product wich is uncluttered and extremly user-friendly

Quickly digitise

Allowing a seamless digitizing experience is a paramount goal of QField. Thanks to a cleverly designed adaptive user interface and specific features like real-time attribute checks and snapping support, QField allows its users to be extremely time efficient.

Unmatched feature set

To be the best, you need to be clever but also skillful.

QField’s efficiency is matched only by its featureset that allows its users to make the most out of their fieldwork time.

Powerful cartography combined with full text search

The beauty of GIS is that maps are dynamic. Layers can individually be shown and hidden and information can be presented more or less prominently based on the task at hand. QField supports the endless styling possibilities offered by QGIS and thanks to a well placed theme switcher you can change the looks of the entire project with a single click. For even more customizability, QField allows hiding and showing layers by simply long-pressing on the layer name.

Furthermore, QField boasts a fully configurable attribute text search that will allow you to geolocate and edit that exact object you were looking for.

Geometry editing

Editing Geometries on the field is probably the most complex task an operator has to deal with. QField simplifies this process through an adaptive toolbar that appears only when necessary, snapping support and a crosshair digitizer.

Thanks to these enhancements, QField allows reducing the error rate significantly.

Support for high precision GNSS

Simple internal GPS accuracy might be enough for basic projects but cadastral surveying and other high accuracy digitizations have much higher requirements. QFields natively listens to the Android location services so it can take advantage of the best location provided by external devices.

Generate PDF

Thanks to QField’s native support for generating PDFs based on QGIS’s print layouts, your on the fly daily report map is just one click away.

Intuitive project chooser

When dealing with multiple projects, quickly being able to switch between them is key. QField comes with a beautiful file selector with favorite directories (long press on a folder to add it to the favorites and long press on the favorites list to remove it) and an automatic list of the last three opened projects that will save you heaps of time while looking for your projects.

Your data - Your decisions

QField does not impose any constraint on the data model, it is your data and you decide what they should look like and what values are acceptable. QField can enforce constraints for you and you can choose among various type of widgets to represent your data. QGIS will preconfigure some field types automatically, all you’ll have then to do is tweak the settings if you want and your project is ready for mobile prime time. Our documentation has all the information you need.

Extends your Geo Data Infrastructure seamlessly

QField uses QGIS to set up maps and forms so it automatically supports a wide variety of data formats. Thanks to this, you can comfortably prepare your project once and then deploy it everywhere. And since QGIS also has a server component, your project can be served on a WebGIS with the very same beautiful looks.

In fact you can see this exact infrastructure up and running under demo.qfield.org and with the “online_survey.qgs” project included in the QField demo projects.

Synchronize with WiFi, Cable or Network

You can synchronize your project and data (in case you are not using a centralized online database) using various methods thanks to our QFieldSync plugin.

Future cloud integration

In the near future we will add a cloud synchronization functionality, so that you will be able to seamlessly manage your project online and have them automatically deployed to your devices.

Installing and contributing

You can easily install QField using the Playstore ( qfield.org/get ), find out more on the documentation site ( qfield.org ), watch some demo videos on our channel ( qfield.org/demo ) and report problems to our issues tracking system ( qfield.org/issues ). Please note that the Playstore update can take some hours to roll out and if you had installed a version directly from GitHub , you might have to uninstall it to get the latest Playstore update.

QField, like QGIS, is an open source project. Everyone is welcome to contribute to making the product even better – whether it is with financial support, translation , documentation work , enthusiastic programming or visionary ideas .

We would like to thank our fantastic community for all the great translations, documentations, bug reports and general feedback they gave us. Thanks to all this, we were able to fix plenty of bugs, address performance issues and even add some super cool new features.

Development and deployment services

As masterminds behind QField and core contributor to QGIS , we are the perfect partner for your project. If you want to help us build a better QField or QGIS, or if you need any services related to the whole QGIS stack, don’t hesitate to contact us .

OPENGIS.ch

OPENGIS.ch helps you setting up your spatial data infrastructure based on seamlessly integrated desktop, web, and mobile components.
We support your team in planning, developing, deploying and running your infrastructure. Thanks to several senior geodata infrastructure experts, QGIS core developers and the makers of the mobile data acquisition solution QField, OPENGIS.ch has all it takes to make your project a success. OPENGIS.ch is known for its commitment to high-quality products and its continuous efforts to improve the open source ecosystem.

\* We might be biased, but we do believe it

Right after the arriving, the organizers of GeoBeer Switzerland showed us some funny statistics about the GeoBeer participants since the very first GeoBeer event six years ago.
Marco Bernasocchi then welcomed everyone and introduced our company. We had three speakers this time. Marcus Hudritsch of the Berner Fachhochschule started by presenting the implementation of the visualization of historical buildings, that do not exist anymore in reality. But still, do in virtual reality… No sorry, it’s augmented reality. Marcus Hundritsch explained to us clearly the difference between AR and VR and presented some projects they made. [Pascal Bourquin](https:// https://twitter.com/BourquinPascal ) changed perspective completely by telling us about his project (La Vie en Jaune) to cover all the hiking trails of Switzerland - he logs every trail done on a [map with photographs](https:// https://map.lavieenjaune.ch/ ). The final speaker was Daniele Viganò from the Global Earthquake Model Foundation talking about their challenges of calculating a global model of earthquake hazard, risk and exposure.

After such interesting talks, everybody’s tummy started roaring and the yummy apéro riche started and of course: The drinking, talking, socializing, networking.

Bottles of the SpatiAle brewed by the OPENGIS.ch-team itself were offered as well as three more kinds of craft-beer brewed by their brewing-coach Thurtalbräu . There were a lot of interesting and funny chats, nice meet-agains and get-to-know-each-others.

Thanks for coming, everyone, and see you on the next GeoBeer!

Get it while it’s hot on the Playstore ( https://qfield.org/get ) or on GitHub

Thanks to all the feedback by the fantastic community we were able to fix plenty of bugs, address performance issues and even add some super cool new features.

Among the new features, the most important is the flashy new file selector with favorite directories (long press on a folder to add it to the favorites and longpress on the favorites list to remove it) and an automatic list of the last three opened projects that will save you heaps of time while looking for your projects.

Another lifesaver is the newly added support for pasting text from the clipboard in the search bar. Finally, we added a smart and unobtrusive “rate this app” dialog to make it easier for you to give QField the ★★★★★ you always wanted to give it :)

https://vimeo.com/323697787

List of improvements since RC3

• New Custom file selector ( #476 )
• Favorite directories in file selector ( #507 )
• Recent projects in file selector ( #499 )
• Ripple effect in file selector ( #505 )
• Smart unobtrusive “rate this app” dialog ( #510 )
• clear value in date/time if invalid when losing focus ( #464 )
• fix crash when switching layer ( #498 )
• Respect DPI in multiline fontsize
• Value Map compatibility with QGIS 2 and lazy loading for performance improvements
• Use external valuemap model
• allow to copy text from clipboard in search bar
• respect keep scale option in locator
• optimize scale when searching points ( #472 )
• add frame to search results
• Update to Qt 5.12.1 (for android 6+)

You can easily install QField using the Playstore ( https://qfield.org/get ), find out more on the documentation site ( https://qfield.org ), watch some demo videos on our channel ( https://qfield.org/demo ) and report problems to our issues tracking system ( https://qfield.org/issues ). Please note that the Playstore update can take some hours to roll out and if you had installed a version directly from GitHub , you might have to uninstall it to get the latest playstore update.

QField, like QGIS, is an open source project. Everyone is welcome to contribute making the product even better – whether it is with financial support, enthusiastic programming , translation and documentation work or visionary ideas .

If you want to help us build a better QField or QGIS, or need any services related to the whole QGIS stack don’t hesitate to contact us .

Thanks to the great feedback we received since releasing RC1 we were able to fix plenty of issues and add some more goodies.

We would like to invite everybody to install this Release Candidate and help us test it as much as possible so that we can iron out as many bugs as possible before the final release of QField 1.0.

List of fixes since RC1:
• fixed bad synchronization / geopackage files not written) (PR #455 )
• fix glitches in portrait mode (PR #423  and #439 )
• fix highlighting of points (search and feature selection) (PR #443 )
• fix GPS info window overlapping search icon (PR #438 )
• redesign of scale bar (PR #438 )
• fix crash in feature form (with invalid relations) (PR #440 )
• fix date/time field editing (PR #421  and #458 )
• fix project not loading the correct map theme (fix #459 )
• fix QGS or QGZ does not exist (PR #453 )

Unfortunately, due to necessary updates in the SDK we target, we had to drop support for Android 4.4. The minimum Android requirement as of this RC is Android 5.0 (SDK version 21).

In case playstore does not suggest an update to QField Lucendro 0.11.90, the last working version for Android 4.4, we suggest all Android 4.4 users to uninstall QField 1.0 RC 1 (which was broken on android 4.4) and reinstall QField from the store. This way you should get If you don’t use play store, you can find all QField releases under https://qfield.org/releases

You can easily install QField using the playstore ( https://qfield.org/get ), find out more on the documentation site ( https://qfield.org ) and report problems to our issues tracking system ( https://qfield.org/issues )

QField, like QGIS, is an open source project. Everyone is welcome to contribute to make the product even better – whether it is with financial support, enthusiastic programming, translation and documentation work or visionary ideas.

If you want to help us build a better QField or QGIS, or need any services related to the whole QGIS stack don’t hesitate to contact us .

Packed with loads of useful features like online and offline features digitizing, geometry and attributes editing, attribute search, powerful forms, theme switching, GPS support, camera integration and much more, QField is the powerful tool for those who need to edit on the go and would like to avoid standing in the swamp with a laptop or paper charts.

With a slick user interface, QField allows using QGIS projects on tablets and mobile devices. Thanks to the QGIS rendering engine, the map-results are identical and come with the full range of styling possibilities available on the desktop.

We ask you to help us test as much as possible this Release Candidate so that we can iron out as many bugs as possible before the final release of QField 1.0.

You can easily install QField using the playstore ( https://qfield.org/get ), find out more on the documentation site ( https://qfield.org ) and report problems to our issues tracking system ( https://qfield.org/issues )

QField, like QGIS, is an open source project. Everyone is welcome to contribute to make the product even better - whether it is with financial support, enthusiastic programming, translation and documentation work or visionary ideas.

If you want to help us build a better QField or QGIS, or need any services related to the whole QGIS stack don’t hesitate to contact us.

Packed with loads of useful features like online and offline features digitizing, geometry and attributes editing, attribute search, powerful forms, theme switching, GPS support, camera integration and much more, QField is the powerful tool for those who need to edit on the go and would like to avoid standing in the swamp with a laptop or paper charts.

With a slick user interface, QField allows using QGIS projects on tablets and mobile devices. Thanks to the QGIS rendering engine, the map-results are identical and come with the full range of styling possibilities available on the desktop.

We ask you to help us test as much as possible this Release Candidate so that we can iron out as many bugs as possible before the final release of QField 1.0.

You can easily install QField using the playstore ( https://qfield.org/get ), find out more on the documentation site ( https://qfield.org ) and report problems to our issues tracking system ( https://qfield.org/issues )

QField, like QGIS, is an open source project. Everyone is welcome to contribute to make the product even better - whether it is with financial support, enthusiastic programming, translation and documentation work or visionary ideas.

If you want to help us build a better QField or QGIS, or need any services related to the whole QGIS stack don’t hesitate to contact us.

Building workflows for repetitive tasks

When building workflows for simple or complex geodata infrastructures, one of the most common tasks one encounters is to extract some of the features and copy them to another destination. Sometimes they need to be modified and a few attributes calculated or deleted, maybe even the geometry needs to be adjusted or in some fancy situations one even wants to generate a couple of objects from one input object. This process is often called ETL (Extract, Transform, Load) and it is something that is worth mastering as a GIS expert. Let’s imagine a situation where we sent a field worker out to collect information about public infrastructure, equipped with a brand-new tablet and the latest and greatest version of QField . To make his task super easy, we prepare one single layer for him with an attribute type which can be set to Bus Station, Car Parking or Train Station. Now back in the office we want to integrate this back into our spatially enabled database which has been designed with 3 target tables.

Easy enough to go to QGIS and select those features by type one after the other and use a bit of copy-paste. And maybe fiddling a bit with the attributes. But hey, after all we are a bit lazy and on the one hand like to have an ice cream later on that afternoon and on the other hand like to avoid errors. Those who are lucky enough to know SQL and have full access to the database are well enough equipped to do the job.

Short introduction to the graphical modeler

For those who just want to quickly do this job visually within QGIS, there is a tool called modeler in the processing plugin. With the help of this tool it is straightforward for everyone to automate processes. To get started with the modeler, simply enable the processing plugin and click on Processing > Graphical Modeler. Within the modeler, there are Inputs and Algorithms available. Inputs are there to define variables, algorithms on the other hand transform those variables. In its most simple form, there is one vector feature source (a layer) as input and one algorithm, for example a fixed distance buffer which in turn has one output layer with all buffered features. Such a model can be saved and reused. To run a model directly from the modeler, click the play button on top. Once saved, it appears in the processing toolbox. Every time a model is run, the input layer can be handed to the model. Or it can even run in batch mode on a list of layers or files. With this in place, the job of doing the buffer can now be run on 200 input layers without any manual interaction. Simple as that. Pro tip: processing models do not have to be complex. They can also be used to preconfigure single algorithms so when an algorithm is run, the parameters which you never change are predefined already. For example you can add a Simplify geometries to 1 meter algorithm which only takes a layer as parameter and has the 1 meter tolerance built-in.

The feature filter algorithm

Now back to the job of splitting the infrastructure layer into 3 different layers. To do this job visually and easily within QGIS, there is now a new algorithm available in QGIS 3.2. It is called Feature Filter and available in the processing modeler. To make use of it, we open the processing modeler and first add a new Vector Features input and name it Infrastructure. Since we know in this project we will always deal with points, we can make already specify that in this first dialog.

Let’s now add a Feature Filter algorithm and use the following configuration: The Infrastructure layer is set as input, and we define three outputs for Train Stations, Bus Stations and Car Parking. All layers will be final outputs on which no further transformations will be applied within this model and they will be directly written to a new layer.

Now it’s time to run our new model and check that it does what it promised. We can also uncheck the final output checkbox and send filtered features to further processing algorithms. For example sending them through a buffer based on an attribute size (although as a QGIS professional you know you should rather be using styles than modifying the geometry in most situations in such cases).

Conclusion

With this new algorithm built directly inside the core of QGIS, the processing framework is now able to transform and refine features of a dataset with the same precision as an open heart surgery. Of course you can get more creative in the filter criteria. Apart from the obvious ones to do geometry modifications, there are two particularly interesting ones if you liked this one

• The Refactor Fields algorithm allows calculating new fields or rename fields based on expressions
• The Append plugin allows adding those features to an existing vector layer such as a database table

The data from this walkthrough is available for download as [download id=“3917”]. If you would like to test this new feature but do not yet have a concrete use-case in mind, here is a task for you: get an openstreetmap extract, import it using ogr2ogr and split the lines into different layers roads, rivers and railways, the polygons into lakes, forests and cities, the points according to your own liking. If there is big enough interest for this, we might write another blog post on this topic.

We would like to thank the QGIS user group Switzerland for making this project possible through funding.