Aboveground biomass of the Dong Phayayen–Khao Yai Forest Complex, Thailand, at 500 m from GEDI L4A and a UAV-audited canopy-height prior: maps, cell data, models and code

Abstract

Aboveground biomass density (AGBD) of the Dong Phayayen–Khao Yai Forest Complex (DPKY), Thailand, at 500 m (0.0045°), with the inputs and code needed to reproduce it. The map was produced with gradient-boosted trees trained on GEDI L4A V3 footprints passing the product quality flag (l4a_quality_flag_rel3 = 1, April 2019 – March 2023), using dual-season Sentinel-2, PALSAR-2, Copernicus GLO-30 terrain and canopy-height statistics from Meta/WRI CHMv2 audited against UAV-LiDAR. The deposit contains: the AGBD prediction with conformalized 90% prediction intervals (GeoTIFF); forest masks F1–F4 (F4 is used for the reported forest-masked stock of 80.7 Mt); the cell-level GEDI target (inverse-variance and equal-weight means, standard error, footprint count); distance to cropland or built-up land at 30 m and the distance-associated edge deficit at 500 m; a cell table with all predictor values; the trained XGBoost models; protected-area boundaries from OpenStreetMap (ODbL); and the analysis code. See README.md for file descriptions and licenses. Accompanies: Moukomla S., Kaewjampa N., Tongdeenok P., Improving GEDI-based aboveground biomass mapping in a seasonally dry tropical forest complex with a UAV-audited canopy-height prior (submitted to Science of Remote Sensing).