Snow cover and cloud dataset of FY-4A AGRI over the Tibetan Plateau

A total of 270 FY4A-AGRI L1 image data were collected from November 2021 to March 2022 in this dataset. The original images were downloaded from Fengyun Satellite Remote Sensing Data Service Network (NSMC.org.cn) and preprocessed by radiometric calibration, geometric correction and cropping. Fengyun-4 is China's second-generation geostationary orbit satellite, which was successfully launched on December 11, 2016. Multi-channel Scanning Imaging radiometer (AGRI) is one of the main payloads of geostationary meteorological satellites. It has a precise dual-scanning mirror structure, which can realize the rapid scanning of the region at minute level and obtain multi-time data. AGRI can mainly obtain cloud images, capture aerosols and snow, and clearly distinguish different cloud forms and water vapor in the high and middle layers. The decision tree classification method is used to identify the cloud, snow and cloud and snow blend information for the first time, and then combined with visual interpretation to draw. Label attribute values: 0 for background, 1 for snow, 2 for cloud, 3 for cloud and snow blend.

本数据集共收集2021年11月至2022年3月期间的270景FY4A-AGRI L1级影像数据。原始影像从风云卫星遥感数据服务网（NSMC.org.cn）下载，并经过辐射定标、几何校正与裁切预处理。风云四号（Fengyun-4）是中国第二代地球静止轨道卫星，于2016年12月11日成功发射。多通道扫描成像辐射计（Multi-channel Scanning Imaging Radiometer，AGRI）是该类静止气象卫星的主要载荷之一，采用精密双扫描镜结构，可实现分钟级区域快速扫描并获取多时序观测数据。AGRI主要可获取云影像，能够探测气溶胶与积雪，并清晰区分高中层大气中的不同云型与水汽分布。本研究首次采用决策树分类方法识别云、积雪及云雪混合信息，随后结合目视解译完成标注。标注属性值定义如下：0代表背景，1代表积雪，2代表云，3代表云雪混合。