{"total":28,"rows":[{"id":"2503.11849","title":"Towards a Unified Copernicus Foundation Model for Earth Vision","created":"2025-03-14","cited_by_count":53,"area":null},{"id":"2405.20462","title":"Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining","created":"2024-05-30","cited_by_count":28,"area":null},{"id":"2406.11217","title":"WeatherQA: Can Multimodal Language Models Reason about Severe Weather?","created":"2024-06-17","cited_by_count":22,"area":null},{"id":"2511.15658","title":"GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI","created":"2025-11-19","cited_by_count":21,"area":null},{"id":"2501.06907","title":"Deep Learning and Foundation Models for Weather Prediction: A Survey","created":"2025-01-12","cited_by_count":16,"area":null},{"id":"2603.00988","title":"Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality","created":"2026-03-01","cited_by_count":12,"area":null},{"id":"2504.04319","title":"Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows","created":"2025-04-06","cited_by_count":11,"area":null},{"id":"2505.21357","title":"AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping","created":"2025-05-27","cited_by_count":9,"area":null},{"id":"2406.18295","title":"Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI","created":"2024-06-26","cited_by_count":8,"area":null},{"id":"2407.08448","title":"Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series","created":"2024-07-11","cited_by_count":6,"area":null},{"id":"2602.10354","title":"Physically Interpretable AlphaEarth Foundation Model Embeddings Enable LLM-Based Land Surface Intelligence","created":"2026-02-10","cited_by_count":6,"area":null},{"id":"2408.15122","title":"Machine Learning for Methane Detection and Quantification from Space - A survey","created":"2024-08-27","cited_by_count":5,"area":null},{"id":"2505.08529","title":"ExEBench: Benchmarking Foundation Models on Extreme Earth Events","created":"2025-05-13","cited_by_count":5,"area":null},{"id":"2504.04280","title":"Foundation Models for Environmental Science: A Survey of Emerging Frontiers","created":"2025-04-05","cited_by_count":4,"area":null},{"id":"2504.17177","title":"A Genealogy of Foundation Models in Remote Sensing","created":"2025-04-24","cited_by_count":4,"area":null},{"id":"2411.03223","title":"Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation","created":"2024-11-05","cited_by_count":3,"area":null},{"id":"2502.14433","title":"Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification","created":"2025-02-20","cited_by_count":3,"area":null},{"id":"2503.03142","title":"A Survey of Foundation Models for Environmental Science","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2507.09872","title":"Resolution Revolution: A Physics-Guided Deep Learning Framework for Spatiotemporal Temperature Reconstruction","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2512.20350","title":"Field-Space Attention for Structure-Preserving Earth System Transformers","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2604.00940","title":"YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2503.00348","title":"SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2505.16685","title":"On the use of Graphs for Satellite Image Time Series","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2510.02572","title":"Geospatial Machine Learning Libraries","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2510.08269","title":"Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2511.08156","title":"LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2512.12142","title":"MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2605.19366","title":"Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems","created":"2026-05-19","cited_by_count":0,"area":null}],"next_cursor":null}