There are concerns about the level of carbon dioxide entering the atmosphere and its impacts on climate, is growing day by day. Carbon sequestration (CS) in vegetation biomass and soils is the simplest and most practical, economical solution to reduce carbon emission. Rangelands are served as one of the most important arid ecosystems for CS. So far, no study has been done about using remote sensing technology to assess the rangeland carbon sequestratio in our country, Iran. This technology can be used to mapp soil and vegetation organic carbon (OC). Hence, IRS-P6 AWiFS sensor data was selected and geometric correction was applied to the images with 49 ground control points with RMSe less than 0.3 pixel. The study area was located in Dehaghan region in the southern part of Isfahan province. Field data was collected using stratified random sampling method. Soil samples were taken from two depths 0-15 and 15-30 cm at each point. Bulk density of soil samples and soil organic carbon (SOC) were determined by Hunk method and wlaky- Black method, respectively. Direct method was used for aboveground biomass estimation and Allometric equation was selected for assessing biomass tree species. To estimate the underground biomass cylinder method was applied. The combustion method was applied to determine the conversion ratio of plant biomass to OC. In order to map land use/cover and create false color composite (FCC) images, the supervised Keywords : Remote Sensing, Awifs,, Organic Carbon, Vegetation, Carbon Sequestration, land use, Multiple regression
