Estimating Carbon Sequestration in Forest using KOMPSAT-2 Imagery.

So-ra Kim, Woo-kyun Lee*, Han-bin Kwak and Sung-ho Choi

 

Abstract: The objective of this study is to estimate the carbon sequestration in forest stands using KOMPSAT-2
imagery. For estimating the amount of carbon sequestration, the stand biomass of forest was estimated with the
total weight, which was the sum of individual tree weight. Individual tree volumes could be estimated by the crown width extracted fTom KOMPSAT-2 imagery. In particular, the carbon conversion index and the ratio of the CO2 molecular weight to the C atomic weight, reported in the Intergovernmental Panel on Climate Change (IPCC)
guideline, was used to convert the stand biomass into the amount of carbon sequestration. Thereafter, the KOMPSAT-2 imagery was classified with the segment base.d classification (SBC) method in order to quantify
carbon sequestration by tree species. This approach, estimating the amount of carbon sequestration for certain
species in stand, can be available to extend plot-based carbon sequestration to stand-based carbon sequestration.
Key words : carbon sequestration, segment based classification, KOA1PSAT-2 imagery, biomass