Abstract: A remote sensing assessment method for soil erosion control degree based on maximum erosion potential includes: data preparation and process, and determining a current soil erosion modulus, a maximum possible soil erosion modulus, and a soil erosion control degree. A soil erosion modulus is determined as the maximum possible soil erosion modulus of a research area under a condition that a most serious water and soil loss possibly occurs; the maximum possible and the current soil erosion moduli are calculated by using a USLE model; and a ratio of a difference between the maximum possible and the current soil erosion moduli to the maximum possible soil erosion modulus is determined as the soil erosion control degree. Therefore, the soil erosion control degree is representative and popularized to measure soil management potential, which improves evaluation efficiency thereof and provides an important reference for further adjusting soil erosion management measures.

Abstract: A remote sensing classification method based on relative entropy includes: determining sample points of n types of ground objects in a study area and determining series remote sensing parameters; extracting, based on the sample points, remote sensing parameter values to form standard time series plots as a first distribution; taking remote sensing parameter values of to-be-classified pixels as a second distribution, determining, based on the second distribution and the first distribution, KL values of the to-be-classified pixels by using a KL-divergence formula, then obtaining n KL layers; and comparing n KL values of each to-be-classified pixel to classify it to be a type of ground objects with a minimum KL value.