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.