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Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data.
Jessica Esteban
Ronald E. McRoberts
Alfredo Fernández-Landa
José Luis Tomé
Erik Næsset
Published in:
Remote. Sens. (2019)
Keyphrases
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random forests
remotely sensed data
random forest
remote sensing
decision trees
logistic regression
ensemble methods
remote sensing data
machine learning algorithms
image classification
land cover
multispectral
change detection
remotely sensed
decision tree ensembles
image processing
high resolution
image analysis