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。该数据集基于覆盖13个光谱波段的Sentinel-2卫星影像，包含10个土地利用与土地覆盖（Land Use and Land Cover，简称LULC）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出版物，分别为《介绍EuroSAT：一款面向土地利用与土地覆盖分类的新型数据集及深度学习基准》与《EuroSAT：一款面向土地利用与土地覆盖分类的新型数据集与深度学习基准》。EuroSAT_RGB.zip 包含该数据集的RGB版本，其将光学红、绿、蓝频段编码为JPEG（Joint Photographic Experts Group）格式的图像。EuroSAT_MS.zip 包含EuroSAT数据集的多光谱版本，涵盖原始数值范围内的全部13个Sentinel-2波段。