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Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China 期刊论文
, 2020, 卷号: 474
作者:  Yang Z.;  Liu Q.;  Luo P.;  Ye Q.;  Sharma R.P.;  Duan G.;  Zhang H.;  Fu L.
收藏  |  浏览/下载：37/0  |  提交时间：2020/07/28
Calibration  Forecasting  Optical radar  Random processes  Remote sensing  Best linear unbiased predictions  Diameter-at-breast heights  Field-based measurements  Forest growth and yield  Initiation and propagation  Light detection and ranging  Nonlinear mixed effects  Prediction accuracy  Forestry  accuracy assessment  airborne survey  canopy architecture  data set  deciduous forest  field method  forestry modeling  height determination  lidar  nonlinearity  yield response  Accuracy  Calibration  Forecasts  Forestry  Random Processes  Remote Sensing  Tree Dimensions  Trees  China  Gansu  Picea crassifolia  
Using machine learning to synthesize spatiotemporal data for modelling DBH-height and DBH-height-age relationships in boreal forests 期刊论文
, 2020, 卷号: 466
作者:  Chen J.;  Yang H.;  Man R.;  Wang W.;  Sharma M.;  Peng C.;  Parton J.;  Zhu H.;  Deng Z.
收藏  |  浏览/下载：35/0  |  提交时间：2020/07/28
Climate models  Dynamics  Machine learning  Neural networks  Complex relationships  Comprehensive monitoring  Diameter-at-breast heights  Environmental conditions  Individual-based modelling  Long-term monitoring datum  Spatio-temporal data  Sustainable forest management  Forestry  age determination  boreal forest  environmental conditions  environmental monitoring  forest dynamics  forest management  forestry modeling  growth  height  machine learning  mortality  spatiotemporal analysis  Data  DBH  Dynamics  Forestry  Growth  Neural Networks  Sustainable Forest Management  Trees  Canada