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| Remote sensing estimation of biomass of Simao pine artificialforest at different ages based on random forest regression |
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| Abstract: |
| Taking the Simao pine（Pinus kesiya var. langbianensis）plantations in Jinggu county as the research
object，this paper constructed the biomass model of single tree and calculated the biomass of Simao pine`s per unit of
90 sample plots of Jinggu county. Nine indexes of vegetation were selected as the alternative variables using TM remote
sensing image of Jinggu country in 2005. The estimation model of Simao pine`s per unit biomass of the overall sample
and the sample of different ages was established based on random forest regression. The biomass of Simao pine`s per unit
artificial forest was predicted in study area by taking the pixel as unit in 2005. The results were as follows：R2 > 0.900，
RMSE < 7.00，prediction accuracy（ P）> 87.00%. The biomass of per unit artificial forest was 59.0889 t/hm2，the
biomass of young forest was 38.5170 t/hm2，the biomass of half-mature forest was 53.6626 t/hm2，the biomass of near
mature forest was 94.8018 t/hm2
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