Bulletin of Surveying and Mapping ›› 2024, Vol. 0 ›› Issue (10): 7-12.doi: 10.13474/j.cnki.11-2246.2024.1002.

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Water quality monitoring in the demonstration zone of integrated development of the Yangtze River delta using airborne hyperspectral imagery

ZHAO Feng1,2, TAN Kun3,4, PAN Chen1,2   

  1. 1. Shanghai Municipal Institute of Surveying and Mapping, Shanghai 200063, China;
    2. Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Shanghai 200063, China;
    3. School of Geographic Science, East China Normal University, Shanghai 200241, China;
    4. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
  • Received:2024-08-22 Published:2024-11-02

Abstract: This article inverts the water quality parameters of the key water bodies called “one river and three lakes” in the demonstration zone of integrated development of the Yangtze River delta using airborne hyperspectral imagery. The experiment collected the full-spectrum hyperspectral image data in the demonstration area, and obtained the water-leaving reflectance of the water bodies after image preprocessing. The water samples and water spectra are collected synchronously at the flight time. By using the competitive adaptive reweighted feature selection method, the optimal bands are selected for establishing the inversion model, and the water quality thematic mapping is also completed. The coefficient determination R2 of the validation set is more than 0.6, and the data error with the water quality monitoring station is less than 10%. This study achieves precise monitoring of water quality parameters in the demonstration area, confirms the application value of airborne hyperspectral remote sensing in the inversion of water quality parameters. The results could enable high quality for the development of the demonstration area.

Key words: demonstration zone of green and integrated ecological development of the Yangtze River delta, airborne hyperspectral, water quality parameters, quantitative inversion

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