Journal of Yangtze River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (6): 128-136.DOI: 10.11988/ckyyb.20200337

• INFORMATION TECHNOLOGY APPLICATION • Previous Articles     Next Articles

Combined Remote Sensing Retrieval of River Turbidity Based on Chinese Satellite data

XIAO Xiao1, XU Jian1,2,3, ZHAO Deng-zhong1,3, ZHAO Bao-cheng1,3, XU Jian1,3, CHENG Xue-jun1,3, LI Guo-zhong1,3   

  1. 1. Spatial Information Technology Application Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2. School of Water Resources and Hydropower Engineering,Wuhan University,Wuhan 430079, China;
    3. Wuhan Smart Valley Engineering Technology Research Center, Wuhan 430010,China
  • Received:2020-04-19 Revised:2020-06-30 Online:2021-06-01 Published:2021-06-10

Abstract: Inspired by combined modeling idea, we constructed a CM-BP (Combined Model-Back Propagation) for multispectral remote-sensing retrieval of river water turbidity by integrating the advantages of multiple remote-sensing retrieval models based on analyzing spectral characteristics of water bodies and selecting sensitive bands. With the in-situ observation data in 2012-2013 in typical reaches of the middle and lower Hanjiang River as a case study, we tested and assessed the applicability of the proposed CM-BP with domestic satellite data of high temporal and spatial resolutions as multispectral remote-sensing data sources. Furthermore, we compared the proposed CM-BP with traditional band-combined models in terms of retrieval precision, and meanwhile dissected the temporal and spatial distribution characteristics of the turbidity of Hanjiang River based on retrieval results. Results demonstrated that CM-BP boasts higher retrieval accuracy, applicability and stability than band-combined models. From the perspectives of spectral, temporal and spatial resolutions, multispectral remote-sensing data of Chinese domestic satellites like environment and disaster monitoring and forecasting small-satellite constellation, GF-1, and ZY-3 can be considered as optimal data sources for water quality retrieval of river. Remote-sensing data from Chinese domestic satellites meets the demand in high-accuracy, real-time and large-scale of remote-sensing retrieval of river water quality, thus providing a data basis for environmental monitoring studies of river.

Key words: turbidity of river water, Chinese satellite, multispectral image, remote sensing, combined retrieval model, water environmental monitoring of river

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