Research on the Method of Estimating Aboveground Biomass(AGB)in Arbor Forests by Remote Sensing in Yuanling County,Hunan Province
In order to construct a suitable model of estimating aboveground Biomass in arbor forests,Yuanling County,Huaihua City,Hunan Province,was selected as the research area,and Landsat8 OLI satellite remote sensing image data were selected,combined with ground sample data,DEMdata and land use data.Multiple linear regression models,BP neural network models,and random forest algorithm models were respectively con-structed to estimate the aboveground biomass of Yuanling County,and the accuracy differences among different estimation models were compared.The results showed that the accuracy of the forest biomass estimation model based on the random forest algorithm(R2 =0.569)was much better than that of the BP neural network model(R2 =0.255)and the multiple linear regression model(R2 =0.149)in Yuanling County.At the same time,the forest biomass in Yuanling County that was estimated by using the random forest algorithm model showed the best accuracy after accuracy verification.
aboveground organisms in arbor forestBP neural networkrandom forestLandsat8 OLIYuanling County
NETL
NSTL
万方数据
