Application of Multitemporal Interferometric SAR Data for Land Cover Mapping in Mongolia

The aim of this study is to use the original and other ancillary derived features extracted from multitemporal spaceborne interferometric synthetic aperture radar (InSAR) data sets for land cover mapping. For the actual land cover mapping, supervised (statistical maximum likelihood classification) and unsupervised (isodata clustering) classifications have been performed using a) the original InSAR products, b) 14 features and c) the first 3PCs, and the results were compared. Overall, the research indicated that the multitemporal InSAR data sets have a valuable contribution to efficient land cover mapping.