%0 Journal Article
%A XIAO Xiao
%A XU Jian
%A ZHAO Deng-zhong
%A ZHAO Bao-cheng
%A XU Jian
%A CHENG Xue-jun
%A LI Guo-zhong
%T Combined Remote Sensing Retrieval of River Turbidity Based on Chinese Satellite data
%D 2021
%R 10.11988/ckyyb.20200337
%J Journal of Changjiang River Scientific Research Institute
%P 128-136
%V 38
%N 6
%X 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.
%U http://ckyyb.crsri.cn/EN/10.11988/ckyyb.20200337