Abstract: The Simao Pine(Pinus kesiya var.langbianensis)plantations in Jinggu county are taken as the research object,and TM remote sensing image in 2005 and the forest resource inventory database for sub-compartment space attribute in 2006 as the data source.Based on the single tree biomass models,9 index as of vegetation were extracted under ENVI as the alternative variables.The estimation model of remote sensing random forest regression of the Simao pine plantations in the study area was established.The results are as followsR²=0.97,RMSE=4.97 and model estimation accuracy =87.76%.By using the estimation model of RF which has been trained,the predicted total biomass of Simao pine plantations was 3 644 612.00t in study area.The biomass of per-unit area was 59.90 t/hm².The results provide a typical case analysis for estimation of the biomass and carbon stocks of other types of forests.

Key words: Jinggu county, biomass, random forest regression, Pinus kesiya var.langbianensis