Water 2015, 7, 5731-5751; doi:10.3390/w7105731 OPEN ACCESS water ISSN 2073-4441 www.mdpi.com/journal/water Article MODIS-Derived Spatiotemporal Changes of Major Lake Surface Areas in Arid Xinjiang, China, 2000–2014 Qingting Li 1, Linlin Lu 1,2,*, Cuizhen Wang 3, Yingkui Li 4, Yue Sui 1 and Huadong Guo 1 1 Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China; E-Mails:
[email protected] (Q.L.);
[email protected] (Y.S.);
[email protected] (H.G.) 2 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China 3 Department of Geography, University of South Carolina, Columbia, SC 29208, USA; E-Mail:
[email protected] 4 Department of Geography, University of Tennessee, Knoxville, TN 37996, USA; E-Mail:
[email protected] * Author to whom correspondence should be addressed; E-Mail:
[email protected]; Tel.: +86-10-82178102; Fax: +86-10-82178177. Academic Editor: Miklas Scholz Received: 20 August 2015 / Accepted: 8 October 2015 / Published: 21 October 2015 Abstract: Inland water bodies, which are critical freshwater resources for arid and semi-arid areas, are very sensitive to climate change and human disturbance. In this paper, we derived a time series of major lake surface areas across Xinjiang Uygur Autonomous Region (XUAR), China, based on an eight-day MODIS time series in 500 m resolution from 2000 to 2014. A classification approach based on water index and dynamic threshold selection was first developed to accommodate varied spectral features of water pixels at different temporal steps.