Forests certainly store biomass content which is reflected in the physical appearance of a tree. In calculating biomass directly, surveys and direct measurements are needed. Remote sensing technology, in this case, is a tool for monitoring, even calculating, the biomass content of vegetation. In estimating biomass using remote sensing, the biomass content of vegetation in the field is still needed. This study aimed to estimate the biomass content of Meranti (Shorea parvifolia Dyer) plants, the dominant plant species in Bukit Tigapuluh National Park in Indragiri Hulu Regency and Indragiri Hilir Regency, Riau Province, as well as Tebo Regency and Tanjung Jabung Barat Regency in Jambi Province. They were using Sentinel-2 imagery. Field measurements and remote sensing images, which in this case are vegetation indices in the form of NDVI, ARVI, GNDVI, MSAVI2, and EVI, will produce a biomass estimation model, and selectively the most suitable model will be selected based on the strength of the relationship between the two parameters. The resulting model between the biomass value and the vegetation index will then become an estimate of the biomass of the dominant plant species in Bukit Tigapuluh National Park.

Keywords: Biomass Estimation, Sentinel-2, Vegetation