标题: Small Water Body Detection and Water Quality Variations with Changing Human Activity Intensity in Wuhan
作者: Wang, LJ (Wang, Lingjun); Bie, WJ (Bie, Wanjuan); Li, HC (Li, Haocheng); Liao, TH (Liao, Tanghong); Ding, XX (Ding, Xingxing); Wu, GF (Wu, Guofeng); Fei, T (Fei, Teng)
来源出版物: REMOTE SENSING 卷: 14 期: 1 文献号: 200 DOI: 10.3390/rs14010200 出版年: JAN 2022
摘要: Small water bodies ranging in size from 1 to 50,000 m(2), are numerous, widely distributed, and have various functions in water storage, agriculture, and fisheries. Small water bodies used for agriculture and fisheries are economically significant in China, hence it is important to properly identify and analyze them. In remote sensing technology, water body identification based on band analysis, image classification, and water indices are often designed for large, homogenous water bodies. Traditional water indices are often less accurate for small water bodies, which often contain submerged or floating plants or easily confused with hill shade. Water quality inversion commonly depends on establishing the relationship between the concentration of water constituents and the observed spectral reflectance. However, individual variation in water quality in small water bodies is enormous and often far beyond the range of existing water quality inversion models. In this study, we propose a method for small water body identification and water quality estimation and test its applicability in Wuhan. The kappa coefficient of small water body identification is over 0.95, and the coefficient of determination of the water quality inversion model is over 0.9. Our results show that the method proposed in this study can be employed to accurately monitor the dynamics of small water bodies. Due to the outbreak of the COVID-19 pandemic, the intensity of human activities decreased. As a response, significant changes in the water quality of small water bodies were observed. The results also suggest that the water quality of small water bodies under different production modes (intensive/casual) respond differently in spatial and temporal dimensions to the decrease in human activities. These results illustrate that effective remote sensing monitoring of small water bodies can provide valuable information on water quality.
作者关键词: small water body; water body remote sensing; water quality; human activity intensity
地址: [Wang, Lingjun; Bie, Wanjuan; Liao, Tanghong; Ding, Xingxing; Fei, Teng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
[Li, Haocheng] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.
[Wu, Guofeng] Shenzhen Univ, NMR Key Lab Geoenvironm Monitoring, Great Bay Area, Shenzhen 518060, Peoples R China.
通讯作者地址: Fei, T (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
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