Building models to estimate, and biomass mapping of special-use forests in northern Vietnam using multiple sources of satellite image data - The case research at Xuan Nha Nature Reserve, Son La province

Abstract

This research used data from the ALOS-2 PALSAR-2, Landsat 8 OLI and Sentinel-2 satellites to build a model to estimate biomass and forest biomass mapping in Xuan Nha Nature Reserve, Son La province. The best model results for biomass estimation were established from ALOS-2 PALSAR-2 and Landsat 8 OLI satellite image data (R² = 0.87; RMSE=26.71). A biomass map created from the best model showed that the rich forest biomass area is 21,694.39 ha (40.52%), the medium biomass forest area is 20,384.85 ha (38.07%), the poor biomass forest area is 10,311.42 hectares (19.26%) and other subjects 1,153.54 hectares (2.15%). Satellite image data in this study can explain forest biomass with an accuracy of up to 87%.