The invention discloses a
vegetation coverage and management measure factor
remote sensing inversion method based on a
leaf area index and multi-angle data. The method comprises the steps of 1, correcting a subfactor method in a
soil loss equation; 2, preprocessing the multi-angle
remote sensing image to obtain surface reflectance; 3, screening an optimal waveband by using a
principal component analysis method; 4, inputting biochemical component parameters of a field measured sample into the
radiation transmission model to obtain simulated
reflectivity of the sample; 5, establishing a regression relation model between the actually measured LAI value and the actually measured
C value, and determining an optimal C factor inversion model; 6, selecting a
vegetation index capable of reflectingthe change of the LAI value of the forest land, and determining an optimal
vegetation index; 7, inputting the
vegetation index and the
wave band into a
random forest model, and outputting a multi-angle LAI image obtained through inversion; and 8, obtaining an inversion result of the C factor by using the C factor inversion regression equation established in the step 5. LAI and multi-angle
remote sensing image information is fully utilized, and the practicability is high.