Remote Sensing Technology and Application, Volume. 39, Issue 1, 170(2024)

Chlorophyll-a Concentration Inversion based on GF6-WFV Data in a Typical Lake Reservoir in Eastern China

BU Bo1,2,3、*, Fangfang ZHANG2,3, Junsheng LI2,3,4, Shenglei WANG2,3, Jingyi LI1, Ya XIE3,5, Chao WANG6, Ruidan SANG7, and Bin TIAN8
Author Affiliations
  • 1Shaanxi Provincial Key Laboratory of Disaster Monitoring and Mechanism Simulation/College of Geography and Environment,Baoji University of Arts and Sciences,Baoji 721013,China
  • 2International Research Center of Big Data for Sustainable Development,Beijing 100094,China
  • 3Key Laboratory of Digital Earth,Institute of Aerospace Information Innovation,Chinese Academy of Sciences,Beijing 100094,China
  • 4University of Chinese Academy of Sciences,Beijing 100049,China
  • 5School of Geosciences and Resources,China University of Geosciences (Beijing),Beijing 100083,China
  • 6Institute of Geography,Henan Academy of Sciences,Zhengzhou 450052,China
  • 7Henan Polytechnic University,Jiaozuo 450000,China
  • 8China University of Mining and Technology,Xuzhou 221116,China
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    The Gaofen-6 medium resolution wide-width camera (GF6-WFV) is designed with two red-edge bands, which has the potential to monitor chlorophyll a concentration in water. In this study, six typical lakes in eastern China, including Guanting Reservoir, Luhun Reservoir and Baiyangdian Lake, were selected as the study area, and measured spectrum and chlorophyll a concentration data were obtained from 141 sampling points. Based on the measured data, the parameters of four kinds of commonly used semi-empirical inversion models of chlorophyll a concentration were optimized and the model accuracy verified, and the optimal inversion model was selected. The results show that the red edge band Ⅰ (B5:710 nm) and red band (B3: 660 nm) are newly added in GF6-WFV data. Which construct a two-band ratio 2BDA model with high inversion accuracy, correlation coefficient square (R2) is 0.89, the Mean Relative Error (MRE) is 34.71 %, and the Root Mean Square Error (RMSE) is 13.29 mg/m3. The results show that the chlorophyll a concentration in water body can be effectively retrieved by using GF6-WFV image data. The inversion model of chlorophyll a concentration in water body established in this paper based on multi-lake and multi-temporal data has good applicability in typical lake repositories in eastern China.

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    BU Bo, Fangfang ZHANG, Junsheng LI, Shenglei WANG, Jingyi LI, Ya XIE, Chao WANG, Ruidan SANG, Bin TIAN. Chlorophyll-a Concentration Inversion based on GF6-WFV Data in a Typical Lake Reservoir in Eastern China[J]. Remote Sensing Technology and Application, 2024, 39(1): 170

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    Paper Information

    Category: Research Articles

    Received: Jan. 5, 2023

    Accepted: --

    Published Online: Jul. 22, 2024

    The Author Email: Bo BU (1244717021@qq.com)

    DOI:10.11873/j.issn.1004-0323.2024.1.0170

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