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Table 3 Linear and polynomial fitting relationships and inversion accuracy between the four vegetation indices (VIs) and FVC

From: Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features

VIs

Linear fitting

Polynomial fitting

Fitting formula

R2

RMSE (%)

Fitting formula

R2

RMSE (%)

NDVI

y = 1.276x-0.008

0.717

10.8

y = -2.810x2 + 4.536x-0.859

0.745

9.8

EVI

y = 1.212x + 0.269

0.635

12.1

y = -4.955x2 + 5.673x-0.636

0.715

11.8

SAVI

y = 1.482x + 0.172

0.665

11.4

y = -6.775x2 + 7.180x-0.921

0.725

10.3

MSAVI

y = 1.210x + 0.299

0.642

11.7

y = -5.437x2 + 5.881x-0.600

0.724

10.5