Self-attention for raw optical Satellite Time Series Classification

Dataset for crop type mapping in Bavaria. Contains raw (unpreprocessed) Sentinel 2 satellite time series acquired over the year 2018 associated with crop type labels of the field parcels. This dataset was used to compare several deep learning models on preprocessed satellite data to industry standards with raw satellite time series to assess the robustness of the tested deep learning models to noise in the data.巴伐利亚州作物类型制图数据集。该数据集包含2018年获取的未预处理原始哨兵2号（Sentinel 2）卫星时间序列数据，以及对应田块的作物类型标注标签。本数据集被用于对比多款深度学习模型：分别基于预处理后的卫星数据与行业标准的原始卫星时间序列数据，以评估受试深度学习模型对数据中噪声的鲁棒性。