Philippine Journal of Science
153 (1): 403-413 February 2024
ISSN 0031 – 7683
Date Received: 26 Oct 2023
3D Carbon Stocks Estimation of Above-ground Biomass in Indonesia
Atriyon Julzarika1*, Muhammad Gunawan Budi Utama2, Farikhotul Chusnayah1, and Yaya Ihya Ulumuddin1
1The National Research and Innovation Agency (BRIN), Cibinong 16915 Indonesia 2Citra Bhumi Indonesia, Jakarta 12530 Indonesia
*Corresponding author: verbhakov@yahoo.com
Julzarika A et al. 2024. 3D Carbon Stocks Estimation of Above- ground Biomass in Indonesia. Philipp J Sci 153(1): 403–413. https://doi.org/10.56899/153.01.34
ABSTRACT
The tropical region is one of the regions that has a high potential for carbon reserves. 3D carbon of above-ground biomass (AGB) is a way to estimate potential carbon reserves using a vegetation height approach. Vegetation height is extracted from the height difference between DSM and DTM, updated with vertical deformation. This study aims to estimate 3D carbon stock (AGB) in Indonesia using the vegetation height approach. Carbon stocks were classified based on the land cover class of primary forest, mangroves, other vegetation, and all vegetation with a height of 1–40 m. Then, we identified which province had the highest carbon stock potential. The results obtained show that Papua Province had the largest AGB potential in Indonesia. The 3D carbon (AGB) volume based on mangrove class was 68,856,487,188 Mg3 with an area of 8266.6 km2 and a perimeter of 16882 km. The total 3D carbon volume (AGB) based on the primary forest was 3,549,448,346,598 Mg3, with an area of 195,327 km2 and a perimeter of 102,230 km. The total volume of 3D carbon (AGB) based on other vegetation was 17,031,593,026,337.00 Mg3 with an area of 112,210.40 km2. Papua Province had a 3D carbon (AGB) volume based on the vegetation of 1–40 m with a volume of 20,649,897,860,123.00 Mg3, an area of 315,804.00 km2, and a perimeter of 6,810.60 km. The largest 3D carbon (AGB) volume comparison value to the province’s area was in Papua Province (64.46%). This 3D carbon (AGB) mapping can be done in a low-cost and time-efficient manner and produces precise and accurate spatial information. The estimation results can be used for a preliminary survey of various thematic information and policy applications related to carbon stocks.