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  • 标题:Estimation of Aboveground Forest Biomass Using Airborne Scanning Discrete Return LIDAR in Douglas-fir
  • 本地全文:下载
  • 作者:K. Lim ; P. Treitz
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2004
  • 卷号:XXXVI-8/W2
  • 出版社:Copernicus Publications
  • 摘要:Models based on laser height metrics matching different quantiles of the distribution of laser canopy heights should be similar to one another with respect to their predictive capabilities of aboveground biomass providing: 1) the allometric relationships in the trees studied remain consistent; and 2) the vertical distributions of laser canopy heights and needle area/mass are related according to a simple quantile-quantile relationship. To explore the use of canopy-based quantile estimators in an application of aboveground biomass estimation in Douglas-fir, models based on laser height metrics corresponding to deciles of the distribution of laser canopy heights are compared. Because robust allometric equations were not available, the influence of using two different sets of allometric equations (referred to as BAR and TER equations) on model results is examined. The coefficient of determination (r 2 ) of decile models in the BAR and TER groups ranged from 0.25 to 0.43 and 0.34 to 0.50, respectively, whereas the root-mean-square error (RMSE) ranged from 29 to 34 and 32 to 36 Mg/ha, respectively. The greatest difference in RMSE between models was less than 5 Mg/ha. Decile models for each of the BAR and TER groups were not overtly different from one another
  • 关键词:Biomass; Lidar; Remote Sensing; Estimation
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