sustainability Article Analyzing Trends of Dike-Ponds between 1978 and 2016 Using Multi-Source Remote Sensing Images in Shunde District of South China Fengshou Li 1, Kai Liu 1,* , Huanli Tang 2, Lin Liu 3,4,* and Hongxing Liu 4,5 1 Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China;
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[email protected] 3 Center of Geo-Informatics for Public Security, School of Geographic Sciences, Guangzhou University, Guangzhou 510006, China 4 Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45221, USA;
[email protected] 5 Department of Geography, the University of Alabama, Tuscaloosa, AL 35487, USA * Correspondence:
[email protected] (K.L.);
[email protected] (L.L.); Tel.: +86-020-8411-3044 (K.L.); +1-513-556-3429 (L.L.); Fax: +86-020-8411-3057 (K.L. & L.L.) Received: 27 August 2018; Accepted: 26 September 2018; Published: 30 September 2018 Abstract: Dike-ponds have experienced significant changes in the Pearl River Delta region over the past several decades, especially since China’s economic reform, which has seriously affected the construction of ecological environments. In order to monitor the evolution of dike-ponds, in this study we use multi-source remote sensing images from 1978 to 2016 to extract dike-ponds in several periods using the nearest neighbor classification method.