Using High-resolution Remote Sensing Images to Detect Freshwater Ecosystem Changes – a New Perspective of Different Ecosystem Types and Shapes

Chen Lin (), Hao Cheng, Chi Zhang (), Yang Zhang and Liangjie Wang
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Chen Lin: Chinese Academy Sciences
Hao Cheng: Nanjing Forestry University
Chi Zhang: Nantong University
Yang Zhang: Jiangsu Real Estate Registration Center
Liangjie Wang: Nanjing Forestry University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 11, No 9, 3565-3584

Abstract: Abstract Area statistics of large lakes is the most concerned primary indicator in existing studies of freshwater ecosystem (FE) dynamics in watershed-dominated regions (WDRs). However, large lakes alone cannot represent the complete status of WDRs, and the dynamic changes of some smaller water types, such as rivers, pits, and streams, need to be given more attention. In order to capture more refined spatiotemporal features of multiple FE types and provide important basis of FE management, multi-temporal high spatial resolution remote sensing images (

Keywords: Freshwater types; Lakes; Ponds; Spatiotemporal features; High-resolution remote sensing (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11269-020-02636-y

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