Water CHL-a Inversion Based on UAV Hyperspectral Remote Sensing
Based on the hyperspectral data obtained by the hyperspectral sensor on the UAV platform has the characteristics of high res-olution and rich spectrum. Based on the measured spectral characteristics of the sampling points and the CHL-a concentration at the sampling points, this study uses the correlation analysis method to select the optimal band, and constructs the water CHL-a inversion model, which is applied to the hyperspectral data of the UAV for CHL-a inversion monitoring. The results show that by analyzing sin-gle band, first-order differential value and CHL-a parameters, it is found that the first-order differential value constructed with 674 nm and 570 nm wavelengths and the linear inversion model constructed with water CHL-a have high correlation and accuracy, and can meet the rapid inversion monitoring of chlorophyll in small and medium-sized surface water bodies. Based on the inversion re-sults, the spatial distribution map is constructed to realize the visualization of water quality parameters.
hyperspectral remote sensing of UAVCHL-ainversion model