Paper
12 March 2021 Urban river water quality monitoring with unmanned plane hyperspectral remote sensing data
Cailan Gong, Lan Li, Yong Hu, Xinhui Wang, Zhijie He, Xiaoying Wang
Author Affiliations +
Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117631G (2021) https://doi.org/10.1117/12.2586280
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China
Abstract
Urban river water bodies have multiple functions such as landscape, ecology, and shipping. With the improvement of people's living standards, the requirements for urban river water quality and water environment quality are gradually increasing. The traditional ground station sampling and analysis method will cost a lot of manpower and financial resources. Remote sensing technology has the advantages of macroscopic, periodic revisiting, low cost, diverse platforms, and rich data. UAV remote sensing data is suitable for rivers with a smaller width. The surface spectrometer is used to measure the spectral reflectance of the water surface and analyze and establish the relationship model between the spectral reflectance of the water surface and water quality. In Jiading District, Shanghai, as an application demonstration area, remote sensing measurement was carried out for the main water quality parameters and water quality types of the river. The remote sensing identification accuracy of typical water quality parameters was better than 70%, and two water quality parameters was better than 80%. The accuracy of remote sensing recognition of water quality type is better than 80%. The hyperspectral remote sensing technology can improve the frequency and efficiency of water quality monitoring. It can be used as an effective supplementary means for ground monitoring and provide continuous data support for long-term monitoring of river water quality.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cailan Gong, Lan Li, Yong Hu, Xinhui Wang, Zhijie He, and Xiaoying Wang "Urban river water quality monitoring with unmanned plane hyperspectral remote sensing data", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117631G (12 March 2021); https://doi.org/10.1117/12.2586280
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