基于无人机低空遥感数据的时序动态生物量计算研究OACSTPCD

In order to solve the problem of biomass change caused by the change of the characteristic parameters of single wood caused by the natural growth of forest stand and the pruning of artificial shears,terrestrial laser scanning(TLS)and aerial vehicle laser scanning(UAV-LS)data were taken as data sources,through the single-wood segmentation method,the single-wood recall rate of UAV-LS data based on the high-precision digital elevation model provided by terrestrial laser scanning was improved.Based on the UAV-LS data,the extraction and consistency evaluation of individual tree height were carried out.The optimized biomass model was used to calculate the individual tree biomass of each tree species in 2022 and 2023 using tree height parameters.The results showed that the combined TLS data can increase the recall rate of UAV-LS data from 60.0% to 73.1%.The tree height parameters in 2022 and 2023 were extracted to obtain the natural growth and pruning status of trees in the past two years.The consistency correlation coef-ficient(Concordance correlation coefficient,CCC)of tree height consistency evaluation was 0.98 and the root mean square error(RMSE)was 1.12 m.And the biomass of single wood and stand biomass in the past two years was calculated and the stand biomass was 77.39 and 81.56 t/hm2 per unit area in 2022 and 2023,respectively.This study confirmed that it was feasible to obtain tree height time series dynamic calculation of individual tree biomass of each tree species by using UAV low-altitude remote sensing data in the research area and can grasp the biomass changes caused by natural growth and artificial pruning of forest stands.