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Table 5 Above-ground biomass (AGB, t∙ha−1) root mean square prediction error (RMSPE) using different predictor variable dataset combinations and models, ordered by mean RMSPE and mean RMSPE%

From: Model-based estimation of above-ground biomass in the miombo ecoregion of Zambia

Model \( {\hat{CC}}_{\mathrm{VERT}} \) \( {\hat{CC}}_{\mathrm{HEMI}} \) Landsat Env/Dist Landsat + Env/Dist \( {\hat{CC}}_{\mathrm{HEMI}} \) + Landsat \( {\hat{CC}}_{\mathrm{HEMI}} \) + Env/Dist \( {\hat{CC}}_{\mathrm{HEMI}} \) + Env/Dist + Landsat
GAM (1) 50.1 44.3 48.8 41.5 40.7 43.4 37.9 35.1
Sigmoidal (2) 49.8 45.2 47.8 47.0 45.6 44.2 39.8 37.5
Exponential (3) 72.1 46.3 45.9 46.6 44.3 42.8 40.5 39.4
Mean RMSPE 57.3 45.3 47.5 45 43.5 43.5 39.4 37.3
Mean RMSPE% 89 % 71 % 74 % 70 % 68 % 68 % 61 % 58 %