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

XIAO Xiao; XU Jian; ZHAO Deng-zhong; ZHAO Bao-cheng; XU Jian; CHENG Xue-jun; LI Guo-zhong

doi:10.11988/ckyyb.20200337

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

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

XIAO Xiao¹, XU Jian^1,2,3, ZHAO Deng-zhong^1,3, ZHAO Bao-cheng^1,3, XU Jian^1,3, CHENG Xue-jun^1,3, LI Guo-zhong^1,3

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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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XIAO Xiao, XU Jian, ZHAO Deng-zhong, ZHAO Bao-cheng, XU Jian, CHENG Xue-jun, LI Guo-zhong. Combined Remote Sensing Retrieval of River Turbidity Based on Chinese Satellite data[J]. Journal of Changjiang River Scientific Research Institute. 2021, 38(6): 128-136 https://doi.org/10.11988/ckyyb.20200337

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