Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data

Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data

Despite the popularity of random forests (RF) as a prediction algorithm, methods for constructing confidence intervals for population means using this technique are still only sparsely reported. For two regional study areas (Spain and Norway) RF was used to predict forest volume or aboveground bioma...

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Bibliographic Details
Main Authors: Jessica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, José Luis Tomé, Erik Nӕsset
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
bootstrapping
model-assisted
model-based
population parameters
Online Access:https://www.mdpi.com/2072-4292/11/16/1944

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