EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
Description
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".
EuroSAT_RGB.zip contains the RGB version of the dataset, which includes the optical R, G and B frequency bands encoded as JPEG images.
EuroSAT_MS.zip contains the multi-spectral version of the EuroSAT dataset, which includes all 13 Sentinel-2 bands in the original value range.
Notes
Files
EuroSAT_MS.zip
Files
(2.2 GB)
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md5:091174add3c8e680a49244acf185b9f0
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md5:f46e308c4d50d4bf32fedad2d3d62f3b
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94.7 MB | Preview Download |
Additional details
Related works
- Is described by
- Journal article: 10.1109/JSTARS.2019.2918242 (DOI)
- Conference paper: 10.1109/IGARSS.2018.8519248 (DOI)
- Is referenced by
- https://github.com/phelber/EuroSAT (URL)