Vegetation Classification and Biomass Estimation using IKONOS Imagery in Mt.
ChangBai Mountain Area Gui Shan Cui, Woo Kyun Lee, Wei Hong Zhu, Jong Yeol Lee, Han Bin Kwak, Sung Ho Choi, Doo Ahn Kwak, Tae Jin Park
ABSTRACT: This study was to extimate the biomass of Mt. Changbai mountain area using the IKONOS imagery and field survey data. Then, we prepared the regression fuction using the vegetation index derived from the IKONOS and biomass estimated from field measured data of previous studies, respectively. The five vegetation index which used in the regression model was SAVI, NDVI, SR, ARVI, and EVI. As a result, the rank of the R-square from coefficient of correlation was as follow, SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026). Finally, we estimated the biomass of non-measured area using the soil Adjusted Vegetation index(SAVI). This study can be used as reference methodolody for the estimation of carbon sinks of primary forest.
Key words; biomass, remote sensing, vegetation index, IKONOS |