An Active-Passive Microwave Land Surface Classification from GPM

This dataset is compiled from five years of observation from the Global Precipitation Measurement (GPM) core observatory Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR). Retrieved emissivites and surface backscatter cross sections are gridded at quarter-degree, monthly resolution separately for non-snow-covered land, snow-covered land, and sea ice. A Kohonen classification technique was used to cluster surfaces based on these characteristics; the monthly gridded classifications are also available in this dataset, along with the corresponding cluster centers and covariance matrices. These data are meant to supplement the IEEE TGRS publication with the same title and authors.

本数据集汇聚了全球降水量测量（Global Precipitation Measurement，GPM）核心观测站微波成像仪（Microwave Imager，GMI）和双频降水雷达（Dual-Frequency Precipitation Radar，DPR）五年观测数据。所获辐射特性和地表后向散射截面数据以四分之一度网格形式，按月分辨率分别针对无雪覆盖陆地、有雪覆盖陆地和海冰进行网格化处理。采用Kohonen分类技术根据这些特性对地表进行聚类；该数据集中还提供了月度网格化分类数据，以及相应的聚类中心和协方差矩阵。这些数据旨在补充与IEEE TGRS出版物同题同作者的作品。