 This paper examined the potential of combining different types of microwave remote sensing data with optical data for land use classification. It compared the results of several classifiers on data collected over a single farm in Heilongjiang province, China. The study found that the best results were achieved by combining microwave data from Terras-Rx and Radarsat-2 satellites with optical data from Formasat-2. This combination produced highly accurate land use maps with a spatial resolution of 8 meters. This article was authored by Kristoff Hutt, Wolfgang Kopp, Yusin Miao, and others.