测绘通报 ›› 2024, Vol. 0 ›› Issue (10): 7-12.doi: 10.13474/j.cnki.11-2246.2024.1002.

• 水环境监测 • 上一篇    

基于机载高光谱遥感的长三角一体化示范区水质监测

赵峰1,2, 谭琨3,4, 潘琛1,2   

  1. 1. 上海市测绘院, 上海 200063;
    2. 自然资源部超大城市自然资源时空大数据分析应用重点实验室, 上海 200063;
    3. 华东师范大学地理科学学院, 上海 200241;
    4. 华东师范大学地理信息科学教育部 重点实验室, 上海 200241
  • 收稿日期:2024-08-22 发布日期:2024-11-02
  • 作者简介:赵峰(1970—),男,硕士,正高级工程师,主要从事城市遥感技术和地理信息系统应用等研究与管理工作。E-mail:zaof@shsmi.cn
  • 基金资助:
    上海市2022年度“科技创新行动计划”高新技术领域项目(22511102800)

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

摘要: 本文基于机载航空高光谱影像数据对长三角生态绿色一体化发展示范区内“一河三湖”重点水域水质参数进行了反演研究。试验获取了示范区内全谱段高光谱影像数据,通过对机载遥感影像进行预处理,获得水体离水反射信息;在飞行时刻同步采集了水体样本与水体光谱,通过竞争性自适应重加权特征选择方法,选择最优波段参与反演模型的构建,并完成水质专题制图。模型验证集的决定系数R2均达0.6以上,同时与水质监测站数据误差小于10%,实现了长三角一体化示范区的水质精确监测,证实了机载高光谱遥感对于水质参数的反演应用价值,为示范区发展赋能高质量。

关键词: 长三角生态绿色一体化发展示范区, 机载高光谱, 水质参数, 定量反演

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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