Aboveground biomass of forest and oil palm land cover mapping using Sentinel 2A imagery, Asahan-Indonesia

• Published in: IOP conference series. Earth and environmental science Vol. 1239; no. 1; pp. 12040 - 12048
• Main Authors: Samsuri, Amanda, S, Zaitunah, A, Utomo, B, Widyastuti, D E
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.09.2023
• Subjects: Biomass; Carbon; Carbon cycle; Carbon sinks; Coefficients; Estimation; Forest biomass; Forests; Independent variables; Land cover; Land use; Normalized difference vegetative index; Oil palm trees; Palm oil; Vegetable oils; Vegetation; Indonesia
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/1239/1/012040

Abstract Forests are the largest carbon sink, play an important role in the global carbon cycle, and can store at least ten times more carbon than other vegetation types. The study aims to model the aboveground biomass of forest and palm oil land cover, to map the amount of aboveground biomass in the Asahan district. Tree biomass is measured non-destructive or without cutting a tree sample. The independent variables from the biomass estimation model are the normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI), and transformed vegetation index (TVI) from Sentinel 2A images. The coefficient of determination selects the best model from the equation. The selected estimating model of forest coverage biomass is y = 3830,8ln(x) + 2356,6 with a predicted variable of the NDVI by a coefficient of determination of 79 %; palm oil coverage biomass is y = 0,0018 x6,8778 with TVI variable by a coefficient of determination of 21%. The total aboveground biomass for forest coverage is 34,57 tons/ha, and oil palm coverage is 0,07 tons/ha