Abstract:
This study aims to estimate vegetation biomass and spatial distribution of
carbon stocks in Special Purpose Forest Area (KHDTK) Mungku Baru,
Palangka Raya City, Central Kalimantan Province, Indonesia. KHDTK
Mungku Baru is a former logging area from the 1970s, which has
undergone secondary succession and is dominated by pole and sapling
levels. The approach used in this study involves remote sensing technology
and field inventory data, which allows carbon stock calculations to be
carried out quickly and accurately over a very large area. A linear
regression algorithm was used to obtain a spatial model of carbon stocks
using NDVI obtained from Landsat as a predictor. The developed model
shows positive correlation results with an R2 value of 0.70; an Adjusted R2
value of 0.69 with a p-level < 0.05, and RMSE of 42 tons/ha. This carbon
stock mapping results serve as a basis for formulating various management
plans for KHDTK Mungku Baru regarding ecological, social, and
economic aspects.