mlsanityData to 13 Oct 2026

LandCoverNet: A global benchmark land cover classification training dataset

arXiv 2012.03111 ↗First posted 5 Dec 2020cs.CV cs.LGcited by 18

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Abstract (arXiv)

Regularly updated and accurate land cover maps are essential for monitoring 14 of the 17 Sustainable Development Goals. Multispectral satellite imagery provide high-quality and valuable information at global scale that can be used to develop land cover classification models. However, such a global application requires a geographically diverse training dataset. Here, we present LandCoverNet, a global training dataset for land cover classification based on Sentinel-2 observations at 10m spatial resolution. Land cover class labels are defined based on annual time-series of Sentinel-2, and verified by consensus among three human annotators.

Key facts. Cited by 18 papers in the map (data through 13 Oct 2026). First posted on arXiv 5 Dec 2020.

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Citing papers per year: 2021: 3; 2022: 3; 2023: 2; 2024: 3; 2025: 7.

18 papers.

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  1. 2021LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentationcited by 260
  2. 2021Self-Supervised Material and Texture Representation Learning for Remote Sensing Taskscited by 49
  3. 2023FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagerycited by 41
  4. 2022Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagerycited by 31
  5. 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
  6. 2021Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmarkcited by 22
  7. 2024Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretationcited by 8
  8. 2025FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mappingcited by 6
  9. 2022Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applicationscited by 5
  10. 2025IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorizationcited by 5
  11. 2025Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentationcited by 3
  12. 2025GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Datasetcited by 3
6 more
  1. 2022Jalisco's multiclass land cover analysis and classification using a novel lightweight convnet with real-world multispectral and relief datacited by 1
  2. 2024Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layercited by 0
  3. 2024Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Mapscited by 0
  4. 2025From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentationcited by 0
  5. 2025BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladeshcited by 0
  6. 2025LC-SLab -- An object-based deep learning framework for large-scale land cover classification from satellite imagery and sparse in-situ labelscited by 0