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Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests 期刊论文
, 2020, 卷号: 459
作者:  Bont L.G.;  Hill A.;  Waser L.T.;  Bürgi A.;  Ginzler C.;  Blattert C.
收藏  |  浏览/下载：18/0  |  提交时间：2020/07/28
Biodiversity  Climate change  Ecosystems  Laser applications  Mean square error  Regression analysis  Remote sensing  Scanning  Timber  Airborne Laser scanning  Best-fit models  Canopy Height Models  Forest inventory  Forest type  Mixed and heterogeneously structured forest  Ordinary least squares regressions  Point cloud  Timber volume  Forestry  accuracy assessment  biodiversity  broad-leaved forest  climate change  coniferous tree  ecosystem service  error analysis  forest ecosystem  forest inventory  regression analysis  remote sensing  timber  Biodiversity  Ecosystems  Forestry  Regression Analysis  Remote Sensing  Scanning  Switzerland  Coniferophyta