An Active-Passive Microwave Land Surface Classification from GPM

• Main Authors: Munchak, Stephen, Ringerud, Sarah, Brucker, Ludovic, You, Yalei, de Gelis, Iris, Prigent, Catherine
• Format: Dataset
• Language: unknown
• Published: IEEE DataPort 2019
• Subjects: Geoscience and Remote Sensing; microwave; Clustering algorithms; radar cross section; Sea ice
• Online Access: https://dx.doi.org/10.21227/fypd-zj65; https://ieee-dataport.org/documents/active-passive-microwave-land-surface-classification-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.