| Vol-4128 urn:nbn:de:0074-4128-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DARES 2025
AI-driven Data Engineering and Reusability for Earth and Space Sciences 2025

### Proceedings of the Workshop on AI-driven Data Engineering and Reusability for Earth and Space Sciences (DARES 2025)
co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025)

### Bologna, Italy, October 25, 2025.

Edited by

### Iraklis A. Klampanos 1
Antonis Troumpoukis 2
Manolis Koubarakis 3

1 University of Glasgow, UK
2 National Centre for Scientific Research "Demokritos", Greece
3 National and Kapodistrian University of Athens, Greece

## Table of Contents

- Preface
  Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 11 papers were accepted for this volume, 8 as regular papers and 3 as short papers.

### Invited Talks

- From Self-Supervision to Trustworthy EO Foundation Models (keynote) 1
  Ioannis Papoutsis
- Semi-Supervised and Multi-label Classification of Remotely Sensed Images (keynote) 2
  Sašo Džeroski

### Accepted Papers

- Comovement in Geo-referenced Time Series: A Copula-Based Approach for Clustering 3-9
  Alessia Benevento, Fabrizio Durante, Roberta Pappadá
- Knowledge Graph-Enhanced Retrieval-Augmented Generation for Earth Observation Data 10-22
  Roxanne El Baff, Ben Schluckebier, Tobias Hecking
- Assessing Synthetic Data Quality and Model Generalization for Planetary Imagery 23-30
  Clara Salditt, Karan Molaverdikhani, Barbara Ercolano
- Weather Prediction on Mars as a Multivariate Time Series Forecasting Problem 31-43
  Sagar Uprety, Amel Bennaceur, Carlos Gavidia-Calderon, James Holmes, Manish Patel, Kylash Rajendran
- Explainable Spatial Modeling of Groundwater Nitrate Concentrations in the Netherlands 44-69
  Iulia Capralova, Juan Cardenas-Cartagena
- Vessel Trajectory Prediction Using Robust AIS Preprocessing and Dual-Self-Attention GRU 70-82
  Marilena Sinni, Dimitris M. Kyriazanos
- LLM-Driven Knowledge Graph Construction from Earth Observation Data for Extreme Events 83-95
  Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis
- Elevation Data Integration Approaches for Deep Learning-Based 2-m Temperature Downscaling 96-108
  Antigoni Moira, Stelios Karozis, Theodoros Giannakopoulos, Effrosyni Karakitsou, Nikolaos Gounaris, Athanasios Sfetsos
- An Explainable Multi-Source Unsupervised Domain Adaptation Framework Using Contrastive Learning and Adaptive Clustering for Remote Sensing Scene Classification 109-121
  Binu Jose A, Pranesh Das, Ebrahim Ghaderpour, Paolo Mazzanti
- A Deep Learning Approach to Evaluate Individual Predictors for Extreme Precipitation in Greece 122-133
  Vasileios Vatellis, Stelios Karozis, Iraklis A. Klampanos, Antonis Troumpoukis, Antonis Gkanios
- DA4DTE: An Agentic System for Enhancing the Accessibility of Digital Twins of Earth 134-140
  Myrto Tsokanaridou, Jakob Heinrich Hackstein, Genc Hoxha, Sergios-Anestis Kefalidis, Konstantinos Plas, Begum Demir, Manolis Koubarakis, Marco Corsi, Cristian Leoni, Giorgio Pasquali, Chiara Pratola, Simone Tilia, Nicolas Longépé

2025-11-10: submitted by Iraklis A. Klampanos, metadata incl. bibliographic data published under Creative Commons CC0
2025-12-13: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|