Abstract: Taking the poplar plantations in Karamay City of Xinjiang as a case, and by using the actual poplar plantation biomass data of 48 sampling plots as well as the Landsat TM data,this paper analyzed the correlations between remote sensing information and actual poplar plantation biomass data,aimed to accurately estimate the biomass of poplar plantation ecosystem in arid desert environment of China. The linear and exponential models of poplar plantation aboveground biomass were established on the basis of perpendicular vegetation index (PVI), and applied to compare the normalize difference vegetation index (NDVI) and ratio vegetation index (RVI). There existed significant correlations between the three vegetation indices (PVI, NDVI, and RVI) and poplar plantation aboveground biomass, and the exponential model (y=13.783e^0.0257x) based on PVI was the best one (with multiple correlation coefficient of 0.761) for estimating the poplar plantation biomass in arid desert environment.

Key words: vegetable field, biochar, nitrification inhibitor, global warming potential (GWP), greenhouse gas intensity (GHGI).