Research

Assessing The Effectiveness Of Deep Embeddings For Tree Species Classification In The Dutch Forest Inventory 2026 Takayuki Ishikawa, Carmelo Bonannella, Bas J.W. Lerink, Marc Rußwurm Science of Remote Sensing CoDiT: Conditional Diffusion Models For Multi-Day Ocean Drifter Trajectory Prediction 2026 Christian Donner, Shirin Goshtasbpour, Emanuele Dalsasso, Mattia Romero, Manon Béchaz, Marc Rußwurm, Robin de Vries, Devis Tuia, Michele Volpi Machine Learning Earth Earth Embeddings: Toward Artificial Intelligence-Centric Representations Of Our Planet 2026 Konstantin Klemmer, Esther Rolf, Marc Rußwurm, Gustau Camps-Valls, Mikolaj Czerkawski, Stefano Ermon, Alistair Francis, Nathan Jacobs, Hannah Kerner, Lester Mackey, Gengchen Mai, Oisin Mac Aodha, Markus Reichstein, Caleb Robinson, David Rolnick, Evan Shelhamer, Vincent Sitzmann, Devis Tuia, Xiaoxiang Zhu IEEE Geoscience and Remote Sensing Magazine Cross-Sensor Matching Of Marine Litter Patches In Satellite Double Acquisitions 2026 Gabrielė Tijūnaitytė, Emanuele Dalsasso, Marc Rußwurm ECCV 2026 Marine Vision Workshop (Poster) Better Together: Evaluating The Complementarity Of Earth Embedding Models 2026 Thijs L. van der Plas, Jacob JW Bakermans, Vishal Nedungadi, Gabrielė Tijūnaitytė, Marc Rußwurm, Ioannis N. Athanasiadis arXiv (Cornell University) Exploring Plastic Detectability On Riverbanks Using Remote Sensing 2026 Milou Maathuis, Marc Rußwurm, Mathias Bochow, Tim van Emmerik Marine Pollution Bulletin Dataset Underlying The Publication "Detecting Marine Litter Windrows In PlanetScope Imagery" 2026 Joost van Dalen, Mathias Bochow, Marc Rußwurm Zenodo (Dataset Contribution) Exploring Transferability Of Plastic-Water Hyacinth Interaction And Detection In Rivers 2026 Giel Hagenbeek, Tim H.M. van Emmerik, Tianlong Jia, Pummarin Khamdahsag, Kittiphon Boonma, Riccardo Taormina, Thomas Mani, Marc Rußwurm Accepted at Cell iScience (2026) Localized, High-Resolution Geographic Representations With Slepian Functions 2026 Arjun Rao, Ruth Crasto, Tessa Ooms, David Rolnick, Konstantin Klemmer, Marc Rußwurm Accepted at the International Conference in Machine Learning (ICML, 2026) Sentinel-2 Reveals Prolonged And Localized Extreme Vegetation Anomalies Across Europe 2026 Claire Robin, Markus Zehner, Laura Dénise Nadolski, Vitus Benson, Javier Lopatin, Nuno Carvalhais, Kirsten M. de Beurs, Markus Reichstein, Marc Rußwurm SSRN (Preprint, 2026) Self-Supervised Pre-Training Enables Marine Debris Detection Across Sensors 2026 Emanuele Dalsasso, Marc Rußwurm, Christian Donner, Samuel Darmon, Robin de Vries, Michele Volpi, Devis Tuia Remote Sensing of Environment Measuring The Intrinsic Dimension Of Earth Representations 2026 A Rao, Marc Rußwurm, Konstantin Klemmer, Esther Rolf Accepted to ICLR 2026 NaT-ReX: Naturalness Assessment With Transformer-Based Reliable Explainability 2025 Ahmed Emam, Mohamed Farag, Marc Rußwurm, Ribana Roscher Pattern Recognition - 47th DAGM German Conference on Pattern Recognition (GCPR 2025), LNCS 16125, pp. 571-585 River Plastic Hotspot Detection From Space 2025 Ámbar Pérez-García, Graciela Amanda, José F. López, Marc Rußwurm, Tim van Emmerik iScience, 29(2), article 114570 Earth Embeddings: Toward AI-Centric Representations Of Our Planet 2025 Konstantin Klemmer, Esther Rolf, Marc Rußwurm, Gustau Camps‐Valls, Mikolaj Czerkawski, Stefano Ermon, Alistair Francis, Nathan Jacobs, Hannah Kerner, Lester Mackey, Gengchen Mai, Oisin Mac Aodha, et al. IEEE Geoscience and Remote Sensing Magazine (Perspective) On The Added Value Of Sequential Deep Learning For The Upscaling Of Evapotranspiration 2025 Basil Kraft, Jacob A. Nelson, Sophia Walther, Fabian Gans, Ulrich Weber, Grégory Duveiller, Markus Reichstein, Weijie Zhang, Marc Rußwurm, Devis Tuia, Marco Körner, Zayd Mahmoud Hamdi, et al. Biogeosciences Earth Embeddings: Harnessing The Information In Earth Observation Data With Machine Learning 2025 Esther Rolf, Konstantin Klemmer, Marc Rußwurm Abstract (talk E. Rolf) From General To Specialized: The Need For Foundational Models In Agriculture 2025 Vishal Nedungadi, Xiong Xiong, Adriaan Potze, Roeland van Bree, Tianlin Lin, Marc Rußwurm, Ioannis N. Athanasiadis SEA Workshop on Sustainability with Earth Observation and AI at ICCV 2025 SatCLIP: Global, General-Purpose Location Embeddings With Satellite Imagery 2025 Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm Proceedings of the AAAI Conference on Artificial Intelligence, 39(4), pp. 4347-4355 Autoregressive Denoising Diffusion For Predicting Trajectories Of Floating Objects In Oceans 2025 Christian Donner, Shirin Goshtasbpour, Emanuele Dalsasso, Michele Volpi, Marc Rußwurm, Devis Tuia In Review - Major Revision IOPScience MLEarth A Cross-Sensor Approach For Marine Litter Detection With Self-Supervised Learning 2025 Emanuele Dalsasso, Marc Rußwurm, Christian Donner, Robin de Vries, Michele Volpi, Devis Tuia EGU Abstract AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment 2025 Vishal Nedungadi, Muhammad Akhtar Munir, Marc Rußwurm, Ron Sarafian, Ioannis N. Athanasiadis, Yinon Rudich, Fahad Shahbaz Khan, Salman Khan Proceedings of the TerraBytes ICML Workshop, PMLR 292, pp. 46-62. Best Workshop Paper Award Time, Space, Or Both? A Comparison Of Flexible Spatio-Temporal Deep Learning Architectures To Map Tree Cover Loss From Sentinel-2 Data 2025 K. Araño, Pieter S. A. Beck, Corentin Bolyn, Marc Rußwurm, Loïc Dutrieux SSRN Electronic Journal Scalable Classification Of Riverine Plastic Hotspots Using Sentinel-2 And Cloud-Based Machine Learning 2025 Ámbar Pérez-García, Graciela Amanda, José F. López, Marc Rußwurm, Tim van Emmerik Cell iScience SAMSelect: A Spectral Index Search For Marine Debris Visualization Using Segment Anything 2025 Joost van Dalen, Yuki M. Asano, Marc Rußwurm IEEE Geoscience and Remote Sensing Letters, 22, pp. 1-5 Deep Pre-Trained Time Series Features For Tree Species Classification In The Dutch Forest Inventory 2025 Takayuki Ishikawa, Carmelo Bonannella, Bas Lerink, Marc Rußwurm SSRN Electronic Journal Better, Not Just More: Data-Centric Machine Learning For Earth Observation 2024 Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia IEEE Geoscience and Remote Sensing Magazine, 12(4), pp. 335-355 On The Added Value Of Sequential Deep Learning For Upscaling Evapotranspiration 2024 Basil Kraft, Jacob A. Nelson, Sophia Walther, Fabian Gans, Ulrich Weber, Grégory Duveiller, Markus Reichstein, Weijie Zhang, Marc Rußwurm, Devis Tuia, Marco Körner, Zayd Mahmoud Hamdi, et al. Mapping Drivers Of Tropical Forest Loss With Satellite Image Time Series And Machine Learning 2024 Jan Pišl, Marc Rußwurm, Lloyd Haydn Hughes, Gaston Lenczner, Linda See, Jan Dirk Wegner, Devis Tuia Environmental Research Letters WildCLIP: Scene And Animal Attribute Retrieval From Camera Trap Data With Domain-Adapted Vision-Language Models 2024 Valentin Gabeff, Marc Rußwurm, Devis Tuia, Alexander Mathis International Journal of Computer Vision Spatially Far, Ecologically Close: Evaluating Extrapolation On Vegetation Forecasting Models 2024 Claire Robin, Mathieu Weynants, Vale Benson, Nuno Carvalhais, Marc Rußwurm, Markus Reichstein Machine Learning for Remote Sensing Workshop at ICLR 2024 Multi-Temporal Forest Monitoring In The Swiss Alps With Knowledge-Guided Deep Learning 2024 Thiên-Anh Nguyen, Marc Rußwurm, Gaston Lenczner, Devis Tuia Remote Sensing of Environment Imbalance-Aware Presence-Only Loss Function For Species Distribution Modeling 2024 Robin Zbinden, Nina van Tiel, Marc Rußwurm, Devis Tuia Tackling Climate Change with Machine Learning at ICLR Workshop 2024 Analyzing Spatio-Temporal Machine Learning Models Through Input Perturbation 2024 Claire Nicolle Robin, Vitus Benson, Christian Requena‐Mesa, Lázaro Alonso, Jeran Poehls, Marc Rußwurm, Nuno Carvalhais, Markus Reichstein Linking Deep Learning-Based Forest Cover Maps To Treeline Spatio-Temporal Patterns 2024 Thiên-Anh Nguyen, Marc Rußwurm, Gaston Lenczner, Devis Tuia Where The White Continent Is Blue: Deep Learning Locates Bare Ice In Antarctica 2024 Veronica Tollenaar, Harry Zekollari, Frank Pattyn, Marc Rußwurm, Benjamin Kellenberger, Stef Lhermitte, Maaike Izeboud, Devis Tuia Geophysical Research Letters Datasets For "Where The White Continent Is Blue: Deep Learning Locates Bare Ice In Antarctica" 2024 Veronica Tollenaar, Harry Zekollari, Frank Pattyn, Marc Rußwurm, Benjamin Kellenberger, Stef Lhermitte, Maaike Izeboud, Devis Tuia Zenodo (CERN European Organization for Nuclear Research) Geographic Location Encoding With Spherical Harmonics And Sinusoidal Representation Networks 2024 Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia International Conference on Learning Representations (ICLR 2024), Spotlight Meta-Learning To Address Diverse Earth Observation Problems Across Resolutions 2024 Marc Rußwurm, Sherrie Wang, Benjamin Kellenberger, Ribana Roscher, Devis Tuia Communications Earth & Environment Large-Scale Detection Of Marine Debris In Coastal Areas With Sentinel-2 2023 Marc Rußwurm, Sushen Jilla Venkatesa, Devis Tuia iScience Semi-Supervised Deep Learning Representations In Earth Observation Based Forest Management 2023 Oleg Antropov, Matthieu Molinier, Rıdvan Salih Kuzu, Lloyd Haydn Hughes, Marc Rußwurm, Devis Tuia, Corneliu Octavian Dumitru, Shaojia Ge, Sudipan Saha, Xiao Xiang Zhu Improving Few-Shot Object Detection With Object Part Proposals 2023 Arthur Chevalley, Ciprian Tomoiagă, Marcin Detyniecki, Marc Rußwurm, Devis Tuia Detection Of Settlements In Tanzania And Mozambique By Many Regional Few-Shot Models 2023 Marc Rußwurm, Lloyd Haydn Hughes, Giorgio Pasquali, Corneliu Octavian Dumitru, Devis Tuia Classification Of Tropical Deforestation Drivers With Machine Learning And Satellite Image Time Series 2023 Jan Pišl, Lloyd Haydn Hughes, Marc Rußwurm, Devis Tuia Short-Term Runoff Forecasting In An Alpine Catchment With A Long Short-Term Memory Neural Network 2023 Corinna Frank, Marc Rußwurm, Javier Fluixá-Sanmartín, Devis Tuia Frontiers in Water Improved Marine Debris Detection In Satellite Imagery With Automatic Refinement Of Coarse Hand Annotations 2023 Marc Rußwurm, D. Gül, Devis Tuia Machine Learning for Remote Sensing Workshop at ICLR 2023 Mapping Forest Cover Dynamics In The Swiss Alps Using 70 Years Of Aerial Imagery 2023 Thiên-Anh Nguyen, Marc Rußwurm, Benjamin Kellenberger, Devis Tuia A New Blue Ice Area Map Of Antarctica 2023 Veronica Tollenaar, Harry Zekollari, Devis Tuia, Marc Rußwurm, Benjamin Kellenberger, Stef Lhermitte, Frank Pattyn End-To-End Learned Early Classification Of Time Series For In-Season Crop Type Mapping 2023 Marc Rußwurm, Nicolas Courty, Rémi Emonet, Sébastien Lefèvre, Devis Tuia, Romain Tavenard ISPRS Journal of Photogrammetry and Remote Sensing Instance Norm Improves Meta-Learning In Class-Imbalanced Land Cover Classification 2022 Marc Rußwurm, D. Gül, Devis Tuia NeurIPS 2022 Workshop Humans Are Poor Few-Shot Classifiers For Sentinel-2 Land Cover 2022 Marc Rußwurm, Sherrie Wang, Devis Tuia IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium What Determines The Location Of Antarctic Blue Ice Areas? A Deep Learning Approach 2022 Veronica Tollenaar, Harry Zekollari, Devis Tuia, Benjamin Kellenberger, Marc Rußwurm, Stef Lhermitte, Frank Pattyn Data-Driven Feature Learning With Discriminative Models For Satellite Time Series 2022 Marc Rußwurm Doctoral dissertation, Technische Universität München Time Dependent Image Generation Of Plants From Incomplete Sequences With CNN-Transformer 2022 Lukas Drees, Immanuel Weber, Marc Rußwurm, Ribana Roscher Pattern Recognition - 44th DAGM German Conference on Pattern Recognition (GCPR 2022), LNCS 13485, pp. 495-510 Detecting Macro Floating Objects On Coastal Water Bodies Using Sentinel-2 Data 2021 Raquel Carmo, Jamila Mifdal, Marc Rußwurm OCEANS 2021: San Diego – Porto DENETHOR: The DynamicEarthNET Dataset For Harmonized, Inter-Operable, Analysis-Ready, Daily Crop Monitoring From Space 2021 Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milčinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiao Xiang Zhu NeurIPS 2021 Datasets and Benchmarks Track Recurrent Neural Networks And The Temporal Component 2021 Marco Körner, Marc Rußwurm Deep Learning for the Earth Sciences, Wiley, chapter 8, pp. 105-119 TOWARDS DETECTING FLOATING OBJECTS ON A GLOBAL SCALE WITH LEARNED SPATIAL FEATURES USING SENTINEL 2 2021 Jamila Mifdal, Nicolas Longépé, Marc Rußwurm ISPRS annals of the photogrammetry, remote sensing and spatial information sciences BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING 2021 Marc Rußwurm, Charlotte Pelletier, Maximilian Zollner, Sébastien Lefèvre, Marco Körner HAL (Le Centre pour la Communication Scientifique Directe) Self-Attention For Raw Optical Satellite Time Series Classification 2020 Marc Rußwurm, Marco Körner ISPRS Journal of Photogrammetry and Remote Sensing Model And Data Uncertainty For Satellite Time Series Forecasting With Deep Recurrent Models 2020 Marc Rußwurm, Mohsin Ali, Xiao Xiang Zhu, Yarin Gal, Marco Körner Meta-Learning For Few-Shot Land Cover Classification 2020 Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2020), pp. 788-796. EarthVision Best Paper Award Tslearn, A Machine Learning Toolkit For Time Series Data 2020 Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie C. Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods Journal of Machine Learning Research, 21(118), pp. 1-6 Early Classification For Agricultural Monitoring From Satellite Time Series 2019 Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner arXiv (Preprint) Multi3Net: Segmenting Flooded Buildings Via Fusion Of Multiresolution, Multisensor, And Multitemporal Satellite Imagery 2019 Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopačková, Piotr Biliński Proceedings of the AAAI Conference on Artificial Intelligence End-To-End Learning For Early Classification Of Time Series 2019 Marc Rußwurm, Sébastien Lefèvre, Thomas Corpetti, Rémi Emonet, Marco Körner, Romain Tavenard HAL (Le Centre pour la Communication Scientifique Directe) End-To-End Learned Early Classification Of Time Series For In-Season Crop Type Mapping 2019 Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard arXiv (Preprint) Multi$^{\mathbf{3}}$Net: Segmenting Flooded Buildings Via Fusion Of Multiresolution, Multisensor, And Multitemporal Satellite Imagery 2018 Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopačková, Piotr Biliński arXiv (Preprint) Convolutional LSTMs For Cloud-Robust Segmentation Of Remote Sensing Imagery 2018 Marc Rußwurm, Marco Körner arXiv (Preprint) Towards Multi-Temporal Data-Driven Models For Extracting And Learning Information From Remote Sensing Times Series And Existing Ancillary Data For Land Cover Classification 2018 Alejandro Coca-Castro, Marc Rußwurm, Mark Mulligan Wageningen University and Researchcenter Publications (Wageningen University & Research) Temporal Vegetation Modelling Using Long Short-Term Memory Networks For Crop Identification From Medium-Resolution Multi-Spectral Satellite Images 2017 Marc Rußwurm, Marco Körner IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017). Best Paper Award Multitemporal Crop Identification From Medium-Resolution Multi-Spectral Satellite Images Based On Long Short-Term Memory Neural Networks 2017 Marc Rußwurm, Marco Körner International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1/W1, pp. 551-558 “Visualising The Project Landscape”: A Spatialisation Describing Workload Attributes As Terrain 2015 Marc Rußwurm, Antoni Moore Environmental Earth Sciences