METHOD FOR MONITORING SOIL EROSION RATE IN WIND-WATER COMPLEX EROSION REGION
卷宗概要
申请人
China Institute of Water Resources and Hydropower Research
发明人
Guangquan LIU; Xiaoning TU; Ning AI; Xueyan WANG; Puhang LI; Pengfei DU; Chunyu QI; Bin ZHANG; Yingyin QI; Jian HOU
IPC 分类
CPC 分类
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.
原文（中文）
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.