Article Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach Yaojie Yue 1,2,*, Min Li 1, A-xing Zhu 3,4,5, Xinyue Ye 6, Rui Mao 2, Jinhong Wan 7 and Jin Dong 8 1 School of Geography, Beijing Normal University, Beijing 100875, China;
[email protected] 2 State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
[email protected] 3 Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA;
[email protected] 4 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application and School of Geography, Nanjing Normal University, Nanjing 210023, China 5 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 6 Department of Geography, Kent State University, Kent, OH 44240, USA;
[email protected] 7 China Institute of Water Resources and Hydropower Research, Beijing 100048, China;
[email protected] 8 Bureau of Land and Resources, Feicheng 271600, China;
[email protected] * Correspondence:
[email protected]; Tel.: +86-10-5880-7454 (ext. 1632) Academic Editor: Yu-Pin Lin Received: 26 September 2016; Accepted: 8 November 2016; Published: 13 November 2016 Abstract: Land degradation monitoring is of vital importance to provide scientific information for promoting sustainable land utilization. This paper presents an expert knowledge and BP-ANN-based approach to detect and monitor land degradation in an effort to overcome the deficiencies of image classification and vegetation index-based approaches.