ibm-nasa-geospatial/BioMassters

该数据集包含2016-2021年芬兰森林的Sentinel-1 SAR和Sentinel-2 MSI图像，用于估计地上生物量（AGB）。数据集包括11,462个参考AGB图像，每个AGB图像对应12个月的S1和S2图像。Sentinel-1数据每月都有，而Sentinel-2数据则没有完整的时间覆盖。所有图像的大小为256x256。数据集还包含用于Prithvi训练的额外元数据，如云百分比、损坏值和红色波段均值。数据集被分为训练集和测试集，训练集进一步分为训练和验证集。参考AGB测量使用LiDAR进行，并与现场测量校准。数据集的文件数量和大小也在README中列出。

This dataset contains Sentinel-1 SAR and Sentinel-2 MSI imagery of Finnish forests for the years 2016-2021, with a total of 11,462 reference images for Above Ground Biomass (AGB) estimation. Each AGB reference image has corresponding S1 and S2 imagery for the 12 months leading up to the AGB observation. The dataset also includes metadata such as cloud percentage, whether there are corrupt values in the image, and the mean value of the red band. The dataset is split into training and testing sets, with the training set further randomly split into training (80%) and validation (20%) sets.