PENDUGAAN BIOMASSA ATAS PERMUKAAN MENGGUNAKAN CITRA LANDSAT 8 OLI DI HUTAN RAKYAT SUB-DAS CIKALUMPANG

Estimation of Aboveground Biomass Using Landsat 8 OLI Imagery in Community Forests of the Cikalumpang Sub-Watershed

Abstract

Forests play a strategic role in the carbon cycle as they are capable of absorbing CO₂ through photosynthesis and storing it in the form of biomass. Biomass estimation can be conducted using remote sensing. This method is highly suitable for monitoring forest biomass due to several advantages, including its easy accessibility, broad coverage area, and ability to reach remote locations. This study aims to estimate the above-ground biomass in the Community Forest of the Cikalumpang Sub-watershed using Landsat 8 OLI imagery. The development of the estimation model utilized a combination of spektral variables from Landsat 8 imagery and field data, specifically vegetation indices such as NDVI, RVI, TVI, SAVI, GRVI, GNDVI, and field diameter. The results of the correlation analysis indicated that the vegetation index values have a high correlation with above-ground biomass. The selection of the above-ground biomass estimation model was based on the highest R² value and the lowest standard deviation (s), aggregate deviation (SA), bias (e), and Root Mean Square Error (RMSE). The selected model is a power model with the RVI variable, formulated as B = 1.535 + RVI^0.390 + Diameter^0.972, with an R² value of 77.31%. The average potential of above-ground biomass in the Community Forest of the Cikalumpang Sub-watershed is 92.02 tons/ha.