Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 13; p. 2497
• Main Authors: Pu, Junwei, Zhao, Xiaoqing, Dong, Pinliang, Wang, Qian, Yue, Qifa
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2021
• Subjects: Algorithms; Carbonate rocks; Classification; Comparative analysis; Comparative studies; Datasets; Decision analysis; Decision making; Decision trees; Desertification; Feature extraction; Image classification; information extraction; Information retrieval; Karst; Land degradation; Landsat; Landsat satellites; Learning algorithms; Local government; Machine learning; machine-learning algorithms; Mapping; Methods; Open access; open-access satellite image; Programming languages; Regional development; Regional planning; Remote sensing; rocky desertification; Satellite imagery; Satellites; Short wave radiation; Soil erosion; southwest China; Spatial discrimination; Spatial distribution; Spatial resolution; Sustainable development; Unmanned aerial vehicles; Vegetation; China

Rocky desertification occurs in many karst terrains of the world and poses major challenges for regional sustainable development. Remotely sensed data can provide important information on rocky desertification. In this study, three common open-access satellite image datasets (Sentinel-2B, Landsat-8,...