Table 3 Vegetation indices selected in this study.
From: Mapping 10-m harvested area in the major winter wheat-producing regions of China from 2018 to 2022
Index | Formula | Reference |
|---|---|---|
EVI (Enhanced Vegetation Index) | \(EVI=2.5\times ({\rho }_{NIR}-{\rho }_{RED})/({\rho }_{NIR}+6\times {\rho }_{RED}-7.5\times {\rho }_{BLUE}+1)\) | |
NIRv (Near-Infrared Reflectance of vegetation) | \({NIRv}={\rho }_{{NIR}}\times {NDVI}={\rho }_{{NIR}}\times ({\rho }_{{NIR}}-{\rho }_{{RED}})/({\rho }_{{NIR}}+{\rho }_{{RED}})\) | |
NDPI (Normalized Difference Phenology Index) | \({NDPI}=\frac{{\rho }_{{NIR}}-\left(\alpha \times {\rho }_{{RED}}+\left(1-\alpha \right)\times {\rho }_{{SWIR}}\right)}{{\rho }_{{NIR}}+\left(\alpha \times {\rho }_{{RED}}+\left(1-\alpha \right)\times {\rho }_{{SWIR}}\right)},\alpha =0.74\) | |
GCVI (Green Chlorophyll Vegetation Index) | \({GCVI}=\frac{{\rho }_{{NIR}}}{{\rho }_{{GREEN}}}-1\) | |
SAVI (Soil-adjusted Vegetation Index) | \({SAVI}=\frac{{\rho }_{{NIR}}-{\rho }_{{RED}}}{({\rho }_{{NIR}}+{\rho }_{{RED}}+L)}(1+L),L=0.5\) | |
LSWI (Land Surface Water Index) | \({LSWI}=\frac{{\rho }_{{NIR}}-{\rho }_{{SWIR}}}{{\rho }_{{NIR}}+{\rho }_{{SWIR}}}\) | |
CIVE (Color Index of Vegetation) | \({CIVE}=0.441{\rho }_{{RED}}-0.881{\rho }_{{GREEN}}+0.385{\rho }_{{BLUE}}+18.78745\) | |
WI (Woebbecke Index) | \({WI}=\frac{{\rho }_{{GREEN}}-{\rho }_{{BLUE}}}{{\rho }_{{RED}}-{\rho }_{{GREEN}}}\) | |
ExG (Excess Green) | \({ExG}=2{\rho }_{{GREEN}}-{\rho }_{{RED}}-{\rho }_{{BLUE}}\) | |
NGRDI (Normalized Green-red Difference Index) | \({NGRDI}=\frac{{\rho }_{{GREEN}}-{\rho }_{{RED}}}{{\rho }_{{GREEN}}+{\rho }_{{RED}}}\) |