Water and soil loss assessment method based on water and soil conservation supervision and inspection big data

The invention relates to the technical field of data model analysis, in particular to a water and soil loss assessment method based on water and soil conservation supervision and inspection big data. The method comprises the following steps: acquiring water and soil conservation supervision and inspection big data at each position point as monitoring data; obtaining an abnormal value of the monitoring data according to the fluctuation difference of the same type of monitoring data of each position point and other surrounding position points, and obtaining the weight of the monitoring data according to the abnormal value of the monitoring data and the local outlier factor; and obtaining an adjustment covariance matrix according to the matrix constructed by the weight and the matrix constructed by the monitoring data, determining feature data through a principal component analysis algorithm, constructing a water and soil loss risk assessment model, and assessing the water and soil loss. According to the method,