Estimasi Serapan Karbon Pada Vegetasi Karet Menggunakan Google Earth Engine

Abstract

Carbon sequestration in rubber vegetation is important to measure carbon sequestration potential as an effort to mitigate climate change by reducing CO2 concentrations in the atmosphere. One way to estimate carbon uptake is by using Remote Sensing. his study aimed to analyze carbon uptake by tree density and biomass of rubber vegetation, to analyze carbon uptake based on soil organic carbon, and to determine the distribution of carbon uptake using selected estimation models. The research was conducted at the Sungei Putih Research Unit, Galang District, employing the survey method by collecting secondary and primary data. Sampling location points were determined based on Normalized Difference Vegetation Index (NDVI) classification and remote sensing image processing using Landsat 9, Sentinel 2A, and Moderate Resolution Imaging Spectroradiometer (MODIS) images processed through Google Earth Engine (GEE).The potential carbon stock obtained in each observation plot produced varying values. Based on calculations using the selected model, namely the Sentinel 2A Exponential Soil Adjusted Vegetation Index (SAVI) model, the carbon distribution based on field biomass ranged from 41 to 82, and soil organic carbon ranged from 0.00002 to 1 (very low), 1 to 2 (low), and 2 to 3 (moderate), indicating an area with moderate carbon distribution. The average potential carbon stock obtained in the field based on stand cross-section measurements was 29.43 tons/ha over an area of 3.12 ha. The highest amount of carbon stock and the largest average stem diameter were found in plot 11, with an average diameter of 16.63 cm and biomass content of 90.64 kg/ha.This research makes an important contribution to providing carbon sequestration data that can support climate change mitigation strategies and sustainable ecosystem management. With the information obtained, it is expected to inform the accuracy that can be used for carbon uptake estimation.