Evaluation of Sentinel-2 Vegetation Indices for Estimating Leaf Area Index in Cassava Plots

Overview This database contains all input data and results used in the analysis scripts for the study "Evaluation of Sentinel-2 Vegetation Indices for Estimating Leaf Area Index in Cassava Plots." It supports the evaluation of Sentinel-2–derived vegetation indices (VIs) for estimating leaf area index (LAI) across different cassava growth stages. Dataset Description The database includes ground-measured LAI data collected monthly using a SunScan Canopy Analyzer from January to June 2022 (2–7 months after planting; MAP) across 47 cassava plots in Nakhon Ratchasima Province, Thailand. It also contains 13 Sentinel-2–derived vegetation indices and corresponding model evaluation results. Linear mixed-effects models and stage-specific linear regressions were applied to assess the predictive performance of each vegetation index using the coefficient of determination (R²) and root mean squared error (RMSE). File Descriptions Ground-LAI-Clean.csv — Plot-level ground-measured LAI data from 47 cassava plots, recorded at each month after planting (MAP). all_index_zonal_median.csv — Monthly values for 13 vegetation indices derived using zonal statistics with median aggregation. TableS1_results-mixed-effect-model.csv — Table S1. Performance metrics of linear mixed-effects models for LAI estimation using Sentinel-2–derived vegetation indices across all growth stages (2–7 MAP), ranked in ascending order of RMSE. TableS2_results-linear-MAP2-all-plots.csv — Table S2. Performance metrics of linear models for LAI estimation using Sentinel-2–derived vegetation indices at 2 MAP, ranked in ascending order of RMSE. TableS3_results-linear-MAP3-all-plots.csv — Table S3. Performance metrics of linear models for LAI estimation using Sentinel-2–derived vegetation indices at 3 MAP, ranked in ascending order of RMSE. TableS4_results-linear-MAP4-all-plots.csv — Table S4. Performance metrics of linear models for LAI estimation using Sentinel-2–derived vegetation indices at 4 MAP, ranked in ascending order of RMSE. TableS5_results-linear-MAP5-all-plots.csv — Table S5. Performance metrics of linear models for LAI estimation using Sentinel-2–derived vegetation indices at 5 MAP, ranked in ascending order of RMSE. TableS6_results-linear-MAP7-all-plots.csv — Table S6. Performance metrics of linear models for LAI estimation using Sentinel-2–derived vegetation indices at 7 MAP, ranked in ascending order of RMSE.