Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference

Remotely sensed data have been widely used in recent years for mapping and estimating biomass. However, the characterization of the uncertainty of mapped or estimated biomass in previous studies was either based on ad-hoc approaches (e.g., using model fitting statistics such root mean square errors...

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Veröffentlicht in:	Remote sensing of environment 2016-10, Vol.184, p.350-360
Hauptverfasser:	Chen, Qi, McRoberts, Ronald E., Wang, Changwei, Radtke, Philip J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomass Destructive tree AGB measurements Error analysis Errors Inference Inventory plots Lidar Mathematical models Model-based inference Pixels Spatial resolution Uncertainty
Online-Zugang:	Volltext
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