Remote Sens. 2014, 6, 9316-9339; doi:10.3390/rs6109316 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Spatio-Temporal Dynamics of Land-Use and Land-Cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis Technique Arnon Karnieli 1,*, Zhihao Qin 2, Bo Wu 3, Natalya Panov 1 and Feng Yan 3 1 The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boker Campus, Midreshet Ben-Gurion 84990, Israel; E-Mail:
[email protected] 2 Institute of Agro-Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; E-Mail:
[email protected] 3 Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; E-Mails:
[email protected] (B.W.);
[email protected] (F.Y.) * Author to whom correspondence should be addressed; E-Mail:
[email protected]; Tel.: +972-8-6596-855; Fax: +972-8-6596-805. External Editor: Prasad S. Thenkabail Received: 16 June 2014; in revised form: 5 September 2014 / Accepted: 9 September 2014 / Published: 29 September 2014 Abstract: The spatial extent of desertified vs. rehabilitated areas in the Mu Us Sandy Land, China, was explored. The area is characterized by complex landscape changes that were caused by different drivers, either natural or anthropogenic, interacting with each other, and resulting in multiple consequences. Two biophysical variables, NDVI, positively correlated with vegetation cover, and albedo, positively correlated with cover of exposed sands, were computed from a time series of merged NOAA-AVHRR and MODIS images (1981 to 2010).