Abstract: Disclosed is a method for monitoring soil erosion rate in a wind-water complex erosion region, which includes dividing a soil erosion monitoring area into a bare area and a vegetated area, performing grid division, and obtaining soil erodibility of each grid in the bare area and the vegetated area; obtaining a bare area reference grid and a vegetated area reference grid; obtaining image data of both the bare area and the vegetated area at monitoring starting and ending moments; calculating soil erosion volumes of both the bare area reference grid and the vegetated area reference grid; calculating a soil erosion volume corrected by soil erodibility; and calculating the soil erosion rate according to the soil erosion volume corrected by soil erodibility, and completing the monitoring of the soil erosion rate. The problem that the workload and monitoring accuracy of the existing monitoring methods cannot be balanced is solved.

Abstract: Disclosed is a method for monitoring soil erosion rate in a wind-water complex erosion region, which includes dividing a soil erosion monitoring area into a bare area and a vegetated area, performing grid division, and obtaining soil erodibility of each grid in the bare area and the vegetated area; obtaining a bare area reference grid and a vegetated area reference grid; obtaining image data of both the bare area and the vegetated area at monitoring starting and ending moments; calculating soil erosion volumes of both the bare area reference grid and the vegetated area reference grid; calculating a soil erosion volume corrected by soil erodibility; and calculating the soil erosion rate according to the soil erosion volume corrected by soil erodibility, and completing the monitoring of the soil erosion rate. The problem that the workload and monitoring accuracy of the existing monitoring methods cannot be balanced is solved.

Abstract: Disclosed is a method for controlling soil and water loss in a wind-water complex erosion region, which includes: randomly selecting a data acquisition reference point in a historical control area and acquiring a soil sample; detecting soil data of different soil layers on the soil sample, including soil viscosity, moisture content and organic matter content; selecting a plant sample, calculating a solid-binding coefficient of the plant sample and selecting an optimal soil-binding plant; fitting a relationship model; acquiring a control soil sample in a target control area of the wind-water complex erosion region, calculating a flatness and a soil and water loss coefficient u; setting a soil and water loss coefficient threshold uthreshold; and setting a planting density and optimal soil-binding plant type in the target control area. The present invention achieves the optimal soil and water loss control effect by considering soil-binding effects of different plants from multiple aspects.