{"total":15,"rows":[{"id":"2412.04204","title":"PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models","created":"2024-12-05","cited_by_count":68,"area":null},{"id":"2506.04106","title":"GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models","created":"2025-06-04","cited_by_count":16,"area":null},{"id":"2311.14006","title":"High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2","created":"2023-11-23","cited_by_count":4,"area":null},{"id":"2511.12104","title":"TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery","created":"2025-11-15","cited_by_count":3,"area":null},{"id":"2404.13911","title":"GlobalBuildingMap -- Unveiling the Mystery of Global Buildings","created":"2024-04-22","cited_by_count":2,"area":null},{"id":"2505.05367","title":"Joint Super-Resolution and Segmentation for 1-m Impervious Surface Area Mapping in China's Yangtze River Economic Belt","created":"2025-05-08","cited_by_count":2,"area":null},{"id":"2508.01310","title":"GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2511.05461","title":"The Potential of Copernicus Satellites for Disaster Response: Retrieving Building Damage from Sentinel-1 and Sentinel-2","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2512.18128","title":"SERA-H: Super-Resolution of Sentinel Time Series for Fine-Scale Canopy Height Mapping","created":"2025-12-19","cited_by_count":1,"area":null},{"id":"2412.00777","title":"Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps","created":"2024-12-01","cited_by_count":0,"area":null},{"id":"2509.10308","title":"GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction","created":"2025-09-12","cited_by_count":0,"area":null},{"id":"2510.26957","title":"Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2601.09866","title":"VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2607.06529","title":"Life Style Levels: Neighborhood Delineation using Geospatial Data","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2609.28154","title":"A comparative assessment of global building and settlement datasets across geographic and settlement contexts","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}