Table 1 The computed vegetation indices.
From: UAV-based individual Chinese cabbage weight prediction using multi-temporal data
Vegetation Indices (VIs) | Formula | References | Camera |
|---|---|---|---|
GRVI: Green and red ratio vegetation index | \(\frac{{{\text{green}} - {\text{red}}}}{{{\text{green}} + {\text{red}}}}\) | RGB and MS | |
MGRVI: Modified green–red vegetation index | \(\frac{{{\text{green}}^{2} - {\text{red}}^{2} }}{{{\text{green}}^{2} + {\text{red}}^{2} }}\) | RGB and MS | |
RGBVI: Red–green–blue vegetation index | \(\frac{{{\text{green}}^{2} - \left( {\text{blue*red}} \right)}}{{{\text{green}}^{2} + \left( {\text{blue*red}} \right)}}\) | RGB and MS | |
GNDVI: Green normalized difference vegetation index | \(\frac{{NIR - {\text{green}}}}{{NIR + {\text{green}}}}\) | MS | |
NDRE: Normalized difference red-edge index | \(\frac{{NIR - {\text{red}}\_{\text{edge}}}}{{NIR + {\text{red}}\_{\text{edge }}}}\) | MS | |
NDVI: Normalized difference vegetation index | \(\frac{{NIR - {\text{red}}}}{{NIR + {\text{red}}}}\) | MS | |
RECI: Red-edge chlorophyll index | \(\frac{NIR}{{{\text{red}}\_{\text{edge }}}} - 1\) | MS | |
SAVI: Soil-adjusted vegetation index | \(\frac{{NIR - {\text{red}}}}{{NIR + {\text{red}} + 0.5}}{*}1.5\) | MS |
