This article uses three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT).