Research about the bidirectional NDVI based on kernel-driven models

Normalized Difference Vegetation Index (NDVI) is one of the most widely used vegetation indexes because the NDVI of typical type of land coverage has a clear distinction on a large-scale image, especially has a valid highlight for vegetation. Anisotropic reflectance characteristics of natural land surface affect the retrieval of NDVI, which means the variation of solar zenith angle and view zenith angle leads to different values of NDVI. This paper uses kernel-driven models to simulate the reflectance of different solar and view zenith angles to calculate the corresponding NDVI values and contrasts the influences of bidirectional reflectance on NDVI under different degrees of the coverage of surface.