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. 2024 Jul 31;35(2):187–210. doi: 10.21315/tlsr2024.35.2.9

Table 5.

Linear models for predicting MHI value based on remote sensing vegetation indices, regression coefficient Adjusted R2 significance (F) and Accuracy-Test Value (RMSE).

Vegetation indices (X) Formula: MHI (Y) = R2-adjusted F RMSE
NDVI 84.81*NDVI + 16.709 0.631 30.068*** 7.31
MI −3.488*MI + 97.967 0.480 16.705** 10.25
MVI 28.367*MVI + 75.135 0.711 42.897*** 6.46
SAVI 103.912*SAVI + 31.845 0.563 22.902*** 7.95
NBR 209.780*NBR-79.158 0.481 16.749** 12.49
GCI 2.677*GCI + 45.22 0.384 11.577** 9.44
EVI 7.85*EVI + 41.965 0.389 11.803** 9.41
SIPI −243.007*SIPI + 322.104 0.389 11.825** 9.40
ARVI 65.831*ARVI + 25.264 0.665 34.810*** 6.96
NBR, GCI, SIPI, ARVI 102.12*NBR – 4.64*GCI + 178.15*SIPI + 159.53*ARVI - 252.39 0.831 21.8987*** 4.46

Notes: NDVI = Normalised Difference Vegetation Index; MI = Mangrove Index; MVI = Mangrove Vegetation Index; SAVI = Soil Adjusted Vegetation Index; NBR = Normalised Burn Ratio; GCI = Green Chlorophyll Index; EVI = Enhanced Vegetation Index; SIPI = Structure Insensitive Pigment Index; ARVI = Atmospherically Resistant Vegetation Index