{"total":17,"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":"2506.20380","title":"TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis","created":"2025-06-25","cited_by_count":39,"area":null},{"id":"2503.10845","title":"Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation","created":"2025-03-13","cited_by_count":34,"area":null},{"id":"2503.23844","title":"FlexiMo: A Flexible Remote Sensing Foundation Model","created":"2025-03-31","cited_by_count":24,"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":"2506.19585","title":"SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images","created":"2025-06-24","cited_by_count":9,"area":null},{"id":"2505.08723","title":"TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series","created":"2025-05-13","cited_by_count":5,"area":null},{"id":"2606.23503","title":"UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation","created":"2026-06-22","cited_by_count":5,"area":null},{"id":"2508.10894","title":"MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data","created":"2025-08-14","cited_by_count":2,"area":null},{"id":"2604.07092","title":"Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2604.11668","title":"UNIGEOCLIP: Unified Geospatial Contrastive Learning","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2504.03181","title":"MIMRS: A Survey on Masked Image Modeling in Remote Sensing","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2504.08441","title":"SARFormer -- An Acquisition Parameter Aware Vision Transformer for Synthetic Aperture Radar Data","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2506.13542","title":"Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars","created":"2025-06-16","cited_by_count":1,"area":null},{"id":"2606.12595","title":"Emerging Flexible Designs for Geospatial Multimodal Foundation Models","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2608.16614","title":"Beyond Accuracy: Assessing Calibration of Geospatial Foundation Models and Their Sensitivity to Distribution Shifts","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2609.40320","title":"Atomizer-IO: Beyond Pixels, Patches and Grids","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}