mlsanityData to 7 Oct 2026

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping

arXiv 2210.10732 ↗First posted 19 Oct 2022cs.CV cs.LGcited by 80

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Abstract (arXiv)

We introduce OpenEarthMap, a benchmark dataset, for global high-resolution land cover mapping. OpenEarthMap consists of 2.2 million segments of 5000 aerial and satellite images covering 97 regions from 44 countries across 6 continents, with manually annotated 8-class land cover labels at a 0.25--0.5m ground sampling distance. Semantic segmentation models trained on the OpenEarthMap generalize worldwide and can be used as off-the-shelf models in a variety of applications. We evaluate the performance of state-of-the-art methods for unsupervised domain adaptation and present challenging problem settings suitable for further technical development. We also investigate lightweight models using automated neural architecture search for limited computational resources and fast mapping. The dataset is available at https://open-earth-map.org.

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). Builds on 37 of its 62 references that are in the map. First posted on arXiv 19 Oct 2022.

Builds on

37 of 62 references.

References · 37

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25 more
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  19. 2022DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentationcited by 78
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  21. 2021Continental-Scale Building Detection from High Resolution Satellite Imagerycited by 50
  22. 2020LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagerycited by 40
  23. 2020Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Studycited by 28
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 12; 2024: 18; 2025: 27; 2026: 22.

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  1. 2023Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networkscited by 55
  2. 2023FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagerycited by 41
  3. 2024SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentationcited by 41
  4. 2024Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Modelcited by 37
  5. 2024CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentationcited by 27
  6. 2023Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentationcited by 26
  7. 2024SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Imagescited by 25
  8. 2023AerialFormer: Multi-resolution Transformer for Aerial Image Segmentationcited by 23
  9. 2023SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detectioncited by 19
  10. 2023GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagerycited by 16
  11. 2025SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understandingcited by 16
  12. 2025SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Imagescited by 14
38 more
  1. 2025OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mappingcited by 13
  2. 2023GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatescited by 12
  3. 2025The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationcited by 12
  4. 2025EarthSynth: Generating Informative Earth Observation with Diffusion Modelscited by 12
  5. 2023MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbationcited by 11
  6. 2024PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagerycited by 10
  7. 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagerycited by 9
  8. 2023ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformercited by 8
  9. 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labelscited by 8
  10. 2024ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Modelcited by 8
  11. 2025AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Imagescited by 8
  12. 2024Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Frameworkcited by 6
  13. 2025FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mappingcited by 6
  14. 2025FSDENet: A Frequency and Spatial Domains based Detail Enhancement Network for Remote Sensing Semantic Segmentationcited by 6
  15. 2023MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Imagescited by 5
  16. 2024Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approachcited by 5
  17. 2023Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensingcited by 4
  18. 2024Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Datacited by 4
  19. 2025SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Modelscited by 4
  20. 2025IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorizationcited by 4
  21. 2025TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentationcited by 4
  22. 2025RS-Prune: Training-Free Data Pruning at High Ratios for Efficient Remote Sensing Diffusion Foundation Modelscited by 4
  23. 2026Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operationscited by 4
  24. 2023Submeter-level Land Cover Mapping of Japancited by 3
  25. 2024Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentationcited by 3
  26. 2024Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domaincited by 3
  27. 2024Cross-sensor self-supervised training and alignment for remote sensingcited by 3
  28. 2024Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmarkcited by 3
  29. 2025S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensingcited by 3
  30. 2026HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentationcited by 3
  31. 2026Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Taskscited by 3
  32. 2024Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robotscited by 2
  33. 2025Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challengecited by 2
  34. 2025Deep Learning Based Domain Adaptation Methods in Remote Sensing: A Comprehensive Surveycited by 2
  35. 2026Enabling Training-Free Text-Based Remote Sensing Segmentationcited by 2
  36. 2026CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentationcited by 2
  37. 2026ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentationcited by 2
  38. 2026TerraDiT-Omega: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitivecited by 2

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