Author(s): Xiongfei Wen; Sui Zhang; Zhe Chen; Yujiao Liu; Jing Zhao
Linked Author(s):
Keywords: Hyperspectral remote sensing; UAV; Sihe River; Chlorophyll
Abstract: In recent years, with the rapid development of China’s economy and society, water surface such as rivers and lakes have encountered certain water environmental issues. Conventional survey methods based on monitoring points have limitations in terms of timeliness and spatial distribution. Hyperspectral technology can effectively address these issues. This paper utilizes a hyperspectral sensor carried by unmanned aerial vehicles to collect hyperspectral data of typical rivers, conducts research on the extraction of chlorophyll-a information in river water surface, establishes a chlorophyll-a inversion model, and compares it with synchronous water quality sample data. The study finds that the model has high reliability and practicality, the experiment indicates a strong correlation between the R706/R676 ratio and chlorophyll-a concentration, with an R-squared value of 0.768, demonstrating the feasibility of using hyperspectral remote sensing data to monitor chlorophyll-a parameters in river water surface. This method can effectively supplement conventional survey methods based on monitoring sample points and provide technical support and reference for water quality monitoring by environmental monitoring agencies.
Year: 2024