remote sensing Article Mapping Long-Term Spatiotemporal Dynamics of Pen Aquaculture in a Shallow Lake: Less Aquaculture Coming along Better Water Quality Juhua Luo 1,2,*, Ruiliang Pu 2, Ronghua Ma 1, Xiaolong Wang 1, Xijun Lai 1, Zhigang Mao 1, Li Zhang 3, Zhaoliang Peng 1 and Zhe Sun 1 1 Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
[email protected] (R.M.);
[email protected] (X.W.);
[email protected] (X.L.);
[email protected] (Z.M.);
[email protected] (Z.P.);
[email protected] (Z.S.) 2 School of Geosciences, University of South Florida, Tampa, FL 33620, USA;
[email protected] 3 Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
[email protected] * Correspondence:
[email protected] Received: 14 April 2020; Accepted: 5 June 2020; Published: 9 June 2020 Abstract: Pen aquaculture is the main form of aquaculture in some shallow lakes in eastern China. It is valuable to map the spatiotemporal changes of pen aquaculture in eutrophic lakes to assess its effect on water quality, thereby helping the relevant decision-making agencies to manage the water quality (WQ) of lakes. In this study, an automatic approach for extracting the pen aquaculture area was developed based on Landsat data. The approach integrates five algorithms, including grey transformation, discrete wavelet transform, fast Fourier transform, singular value decomposition and k-nearest neighbor classification. It was successfully applied in the automatic mapping of the pen aquaculture areas in Lake Yangcheng from 1990 to 2016.