Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data

Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data

Recent developments in remote sensing (RS) technology have made several sources of auxiliary data available to support forest inventories. Thus, a pertinent question is how different sources of RS data should be combined with field data to make inventories cost-efficient. Hierarchical model-based es...

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Bibliographic Details
Main Authors: Svetlana Saarela, Sören Holm, Sean P. Healey, Hans-Erik Andersen, Hans Petersson, Wilmer Prentius, Paul L. Patterson, Erik Næsset, Timothy G. Gregoire, Göran Ståhl
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
carbon monitoring
GEDI
Landsat 7 ETM+
model-based inference
superpopulation models
variance estimation
Online Access:https://www.mdpi.com/2072-4292/10/11/1832

Internet

https://www.mdpi.com/2072-4292/10/11/1832

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