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A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions

Published in Environmetrics • Oct 22, 2024
NobleIDNI9P67W83R75S04
Authors:
Svetlana Saarela
,
Sean P. Healey
,
Zhiqiang Yang

Abstract

ABSTRACT The hierarchical model‐based (HMB) statistical method is currently applied in connection with NASA's Global Ecosystem Dynamics Investigation (GEDI) mission for assessing forest aboveground biomass (AGB) in areas lacking a sufficiently large number of GEDI footprints for employing hybrid inf...

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