Outlook for carbon stock of tropical forest in the context of climate change

5th International Seminar on Sciences

自然科学（总论）

Dasrizal^1 ; Rahmi, R.^2 ; Rezki, A.^1 ; Farida, F.^1 ; Ulni, A.Z.P.^1 ; Syafruddin, Y.S.^1

Geography Education Department STKIP PGRI Sumatera Barat, Padang, Indonesia^1

Mathematics Education Department STKIP PGRI Sumatera Barat, Padang, Indonesia^2

关键词: Aboveground biomass;    Biomass density;    Field conditions;    Forest biomass;    Remote sensing data;    Tropical forest;    Vegetation index;    Vegetation index calculations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/299/1/012049/pdf
DOI  :  10.1088/1755-1315/299/1/012049

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

There has been a large increase in understanding the relationship between aboveground forest biomass and climate change in recent years. Aboveground Biomass (AGB) estimation is very important in understanding the contribution of forests to the regional carbon cycle. AGB in tropical forest areas is often carried out by utilizing the transformation of the vegetation index because the value obtained is a combination of several channels in the image to highlight the appearance of vegetation. Difficulties in field surveys due to tropical forest field conditions transform the vegetation index calculation is an effective alternative approach to estimate biomass. The purpose of this study is to estimate biomass by utilizing remote sensing data to estimate carbon stock. The study was conducted on tropical forests in Solok Regency, West Sumatra Province. The method used is calculating the surface biomass content with the index value of each transformation of the vegetation index type. The results of this study show the level of accuracy and total carbon content of each transformation of the vegetation index type (NDVI, TNDVI, RVI, TRVI). NDVI is the best accuracy for estimating biomass density with R2 of 60%. The surface biomass estimates in Solok Regency as 115.6 tons/ha. The amount of stored surface biomass varies, depending on the level of greenness and the age of the vegetation.