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This study aims to present remote sensing methods for the analysis and comparison of different physical parameters for estimation of biomass and above ground carbon storage in the study areas of the pilot project for the chosen community forest in Maha Sarakham Province, Thailand. The implementation method was divided into four steps as follows. (1) Analysis of Landsat-8 satellite data with six physical parameters in the study (NDVI, TNDVI, GVI, IR-R, IR/R, and MSAVI2) and analyzing the results obtained to find out Fraction Cover (FC) value, (2) Field surveying by creating survey plots, measuring the circumference and the height of trees, and bringing the results to calculate above ground biomass with allometric equations (3) Creating correlation equations from the analysis results from Step 1 and Step 2, then applying the correlation equations obtained to calculate Carbon Dioxide (CO2) storage by using remote sensing methods, and (4) Comparing optimal methods from six physical parameters. The analysis results of six physical parameters were found that GVI was the most appropriate method, the correlation equation y = 1.8312e, and the coefficient of determination (R) = 0.8107. And the CO2 storage capacity of the community forests in the study areas in Maha Sarakham Province was equal to 106.04 tonCO2e from the total area of 61.24 ha.

COMMUNITY FOREST FOR GLOBAL WARMING MITIGATION: THE TECHNIQUE FOR ESTIMATION OF BIOMASS AND ABOVE GROUND CARBON STORAGE USING REMOTE SENSING METHOD