Remote Sensing Estimation Of Forest Carbon Stock In Beijing Mountain

Forest plays an important role on maitaining and improving the environment in Beijing. To research on forest carbon stock, its abundance and distribution pattern will lay a foundation on forestation decision, urban planning and management.We construct biomass estimation model of single tree to obtain the biomass of sample plot based on collecting previous research material and field investigation and establish biomass remote sensing estimation model of sample plot to get the forest biomass and carbon storage with TM and MODIS data. The conclusions are:1)the carbon storage density of mingled forest, broad-leaved forest, coniferous forest and shrub forest is 33.23 t/hm2,34.71t/hm2,37.77t/hm2 and 26.31h/tm2; 2)the carbon storage of mingled forest, broad-leaved forest, coniferous forest and shrub forest is 4.01Tg,10.25Tg,5.86Tg and 7.71Tg, the above-ground forest carbon stock of Beijing is 27.82Tg; 3)the total carbon stock and distribution pattern of Beijing from the biomass estimation model by MODIS-NDVI are the best; 4)the total carbon storage from the biomass estimation model by MODIS-EVI is eighty-two percent of which by MODIS-NDVI; 5)the carbon stock and distribution pattern from the biomass estimation model by TM-NDVI and TM-MSAVI are abnormal, and the quadric equation between biomass and TM vegetation index is not appropriate for the carbon stock estimation of Beijing.