Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA

Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA

Quantifying above-ground biomass changes, Δ<i>AGB</i>, is key for understanding carbon dynamics. National Forest Inventories, NFIs, aims at providing precise estimates of Δ<i>AGB</i> relying on model-assisted estimators that incorporate auxiliary information to reduce uncerta...

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Bibliographic Details
Main Authors:	Francisco Mauro, Vicente J. Monleon, Andrew N. Gray, Olaf Kuegler, Hailemariam Temesgen, Andrew T. Hudak, Patrick A. Fekety, Zhiqiang Yang
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Remote Sensing
Subjects:	endogenous-poststratification model-assisted estimators generalized regression estimator (GREG) carbon disturbances above ground biomass
Online Access:	https://www.mdpi.com/2072-4292/14/23/6024

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