README

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

EuroSAT is a land use and land cover classification dataset. The dataset is based on Sentinel-2 satellite imagery covering 13 spectral bands and consists of 10 LULC classes with a total of 27,000 labeled and geo-referenced images. The dataset is associated with the publications "Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification" and "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification". This catalog contains the multi-spectral version of the EuroSAT dataset, which includes all 13 Sentinel-2 bands in the original value range.

Collections

annual-crop

Collection: annual-crop

forest

Collection: forest

herbaceous-vegetation

Collection: herbaceous-vegetation

highway

Collection: highway

industrial

Collection: industrial

pasture

Collection: pasture

permanent-crop

Collection: permanent-crop

residential

Collection: residential

river

Collection: river

sea-lake

Collection: sea-lake

Coverage

Spatial Extent

West: -21.0004, South: 27.9642, East: 33.5325, North: 65.2409

Source

https://zenodo.org/records/7711810

Processing Notes

Multispectral version containing all 13 Sentinel-2 bands in original value range (not scaled/clipped like RGB version).

Bands (Sentinel-2 order): B01: Coastal aerosol (60m) B02: Blue (10m) B03: Green (10m) B04: Red (10m) B05: Vegetation red edge 1 (20m) B06: Vegetation red edge 2 (20m) B07: Vegetation red edge 3 (20m) B08: NIR (10m) B08A: Narrow NIR (20m) B09: Water vapour (60m) B10: SWIR - Cirrus (60m) B11: SWIR 1 (20m) B12: SWIR 2 (20m)

All patches resampled to 10m resolution, 64x64 pixels (640m x 640m). Coordinate system: WGS 84 / UTM zones (varies by tile location).

Related resources:

GitHub: https://github.com/phelber/eurosat
arXiv: https://arxiv.org/abs/1709.00029
Paper DOI: 10.1109/JSTARS.2019.2918242

Citation

Helber, P., Bischke, B., Dengel, A., & Borth, D. (2019). EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2217-2226. https://doi.org/10.1109/JSTARS.2019.2918242

Helber, P., Bischke, B., Dengel, A., & Borth, D. (2018). Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). https://doi.org/10.1109/IGARSS.2018.8519248

DOI: 10.5281/zenodo.7711810

Attribution

EuroSAT dataset by Helber et al. (2019). Contains modified Copernicus Sentinel data. Original authors: Patrick Helber (ORCID: 0000-0001-8454-4301), Benjamin Bischke (ORCID: 0000-0002-6473-3348), Andreas Dengel (ORCID: 0000-0002-6100-8255), Damian Borth (ORCID: 0000-0002-4660-2627).