Satellite-based Estimation of Above Ground Carbon Stock Estimation for Rubber Plantation in Tembir Salatiga Central Java

Abstract

The concentration of CO2 content in the atmosphere needs to be reduced in order to reduce the greenhouse effect. The effective way of CO2 absorption in the air is through photosynthesis performed by vegetation. Through photosynthesis, the CO2 absorbed by vegetation and converted into organic carbon stored in biomass. This research was conducted in a rubber plantation at Tembir Salatiga Central Java. This research aims to determine aboveground carbon stocks that exist in the research area by utilizing remote sensing data This research uses the image generated by the TERRA satellite sensors, that produced by the project's partnership between the Japan - USA to resolve the problems concerned with natural resources and environmental issue that is the image of the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer). The method used in this research is remote sensing data extraction and statistical analysis. The data is the correlation between biomass data at each sample plots with vegetation index value (MSAVI). The value of R is the correlation between those two data that is used to find out how big the relations between both variables that be correlated. the results of this research are the relationship between vegetation index transform (MSAVI) with biomass content obtained from allometric calculation. The relationship of these two variables indicated by the value of the linear regression which of these research produced a regression between MSAVI and biomass content is y = 1683.9x - 423.87 with R2 0.681 (68%). From these results can be seen that the content of the biomass resulting from the extraction of remote sensing data able to represent 68% of the biomass conditions contained in the study sites. The research results show that carbon stocks contained in the research sites were 875227.25 TonC.