The use of very high-resolution satellite data and the InVEST model to analyse carbon stock in the Budongo Forest Reserve, Uganda

Domain:

environment and energy

Record type:

dataset

Creator:

SahAna

Publisher:

fig

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Table S1. Dataset used for above-ground biomass modelling. Contains 57,035 GEDI-derived above-ground biomass density observations and the corresponding PlanetScope spectral bands, vegetation indices, elevation and aspect variables used for predictor selection and Random Forest regression.Table S2. Input data and Monte Carlo uncertainty results for carbon-stock estimation. Presents the land-cover-specific area, above- and below-ground biomass parameters, root-to-shoot ratios and soil organic carbon inputs, together with estimated carbon stocks and 95% uncertainty intervals by carbon pool and LULC class.Table S3. Literature-derived root-to-shoot ratios for tropical forests. Summarises published root-to-shoot ratios, the forest biomes in which they were applied and their methodological basis, supporting the ratio selected for estimating below-ground biomass in Budongo Forest Reserve. The manuscript identifies Table S3 as the supporting literature summary for this parameter.Appendix 1. Variable Selection and Model Evaluation for AGB Estimation: This appendix provides a detailed description of the variable-selection and model-evaluation procedures used for aboveground biomass (AGB) estimation, including Mean Decrease in Accuracy (MDA), correlation analysis, feature reduction, comparison of Random Forest and XGBoost models, and Principal Component Analysis (PCA).

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<b>The use of very high-resolution satellite data and the InVEST model to analyse carbon stock in the Budongo Forest Reserve, Uganda</b>