RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2021, Vol. 30 >> Issue (7): 1670-1679.doi: 10.11870/cjlyzyyhj202107014

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Inversion of Chlorophyll-a of Clean Water in Qiandao Lake With Remote Sensing Data Using the Neural Network

XU Peng-fei 1 ，CHENG Qian 1，JIN Ping-bin 2   

  1. (1. School of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou 310028,China;
    2. School of Earth Science, Zhejiang University, Hangzhou 310028,China)
  • Online:2021-07-20 Published:2021-08-03

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Abstract: Chlorophyll-a is an important indicator to estimate water quality, and there are no easy solutions to accurately assess the chlorophyll-a of clean water. In this study, the GF-1 images and neural network method were applied, and a simulating model of chlorophyll-a in Qiandao lake was established. The distribution and variations of chlorophyll-a was detected and the superiority of the method was analyzed. The results show that it's feasible to simulate the concentration of chlorophyll-a in clean water using the proposed neural network method since the high value of coefficient; The spatial analysis revealed that the overall concentration of chlorophyll-a in Qiandao lake is quite low and the high values distributed mainly in the southwest and northeast regions. Moreover, we also found that the concentration of chlorophyll-a was quite stable with average value of 1.70 to 1.75 μg/L during the study period.

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