Abstract: An inversion method of river course depth based on a mathematical model and remote sensing of water depth-water surface area includes the following steps: constructing the first mathematical model; calculating the relation function between the water flowing cross-section area, the triangle area at two sides and the water depth as well as the flow path, and substituting the relation functions into the first mathematical model to obtain the second mathematical model; transforming the second mathematical model into the mathematical model of water level-water surface area; solving the unknowns in the mathematical model, and substituting the unknowns into the second mathematical model to obtain the third mathematical model; and substituting the water surface area extracted by the remote sensing into the third mathematical model to obtain the water depth of the river course.

Abstract: A surface water quality monitoring method based on a high spatial resolution satellite includes: step 1. building standard surface water quality pools by mixing natural water bodies with clean water in different proportions to obtain surface water quality data; step 2. obtaining high spatial resolution remote sensing images for processing; step 3. identifying remote sensing bands with higher correlation through correlation analysis by presetting ratio values of remote sensor data bands and the standard surface water quality pools; step 4. building a water quality parameter retrieval model, and comparing and retrieving the remote sensing bands with higher correlation and the surface water quality data to obtain water quality data; and step 5. identifying abnormal points of the water quality based on the water quality data and water quality data threshold of the surface water.