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".

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.

EuroSAT是一款土地利用与土地覆盖分类数据集。该数据集基于涵盖13个光谱波段的哨兵2号（Sentinel-2）卫星影像，共计包含10个LULC（土地利用与土地覆盖）类别，总计27000张已标注且带有地理参考信息的影像。该数据集关联两篇学术论文，分别为"Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification"与"EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification"。

EuroSAT_RGB.zip包含该数据集的RGB版本，其中包含以JPEG格式编码的光学红（R）、绿（G）、蓝（B）波段影像。

EuroSAT_MS.zip包含EuroSAT数据集的多光谱版本，该版本保留了哨兵2号全部13个光谱波段的原始数值范围。