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Table 2 Definitions of the features extracted from different imagery

From: Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery

Feature

Features

Formulation

References

Spec. Info

Blue (B), Green (G), Red (R), Red-Edge (RE), Near-infrared (NIR)

The raw value of each band

–

Ratio vegetation index

RVI = NIR/R

[31]

Green chlorophyll index

GCI = (NIR/G)−1

[32]

Red-edge chlorophyll index

RECI = (NIR/RE)−1

[32]

Normalized difference vegetation index

NDVI = (NIR−R)/(NIR + R)

[33]

Green normalized difference vegetation index

GNDVI = (NIR−G)/(NIR + G)

[34]

Green–red vegetation index

GRVI = (G−R)/(G + R)

[31]

Normalized difference red-edge

NDRE = (NIR−RE)/(NIR + RE)

[35]

Normalized difference red-edge index

NDREI = (RE−G)/(RE + G)

[36]

Simplified canopy chlorophyll content index

SCCCI = NDRE/NDVI

[37]

Optimized soil adjusted vegetation index

OSAVI = (NIR−R)/(NIR + R + L) (L = 0.16)

[38]

Modified chlorophyll absorption in reflectance index

MCARI = [(RE−R)−0.2*(RE−G)] *(RE/R)

[39]

Transformed chlorophyll absorption in reflectance index

TCARI = 3*[(RE−R)−0.2*(RE−G) *(RE/R)]

[40]

MCARI/OSAVI

MCARI/OSAVI

[39]

TCARI/OSAVI

TCARI/OSAVI

[40]

Wide dynamic range vegetation index

WDRVI = (a*NIR−R)/(a*NIR + R) (a = 0.12)

[41]

Struc. Info

Canopy Height Model (m)

CHM = DSM−DEM

/

Therm. Info

Normalized relative canopy temperature index

\(NRCT = \frac{{T_{i} - T_{\min } }}{{T_{\max } - T_{\min } }}\)

[42]