Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands
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Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery.Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China.Evaluation of the spatial linear model, random forest and gradient nearest-neighbour methods for imputing potential productivity and biomass of the Pacific Northwest forests
P2860
Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands
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wetenschappelijk artikel
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наукова стаття, опублікована в червні 2012
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name
Evaluation of most similar nei ...... om target and auxiliary stands
@en
Evaluation of most similar nei ...... om target and auxiliary stands
@nl
type
label
Evaluation of most similar nei ...... om target and auxiliary stands
@en
Evaluation of most similar nei ...... om target and auxiliary stands
@nl
prefLabel
Evaluation of most similar nei ...... om target and auxiliary stands
@en
Evaluation of most similar nei ...... om target and auxiliary stands
@nl
P2860
P1476
Evaluation of most similar nei ...... om target and auxiliary stands
@en
P2093
Barbara Koch
P2860
P304
P356
10.1080/01431161.2012.693969
P577
2012-06-06T00:00:00Z