Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR

Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR

Abstract Background Accurate estimation of aboveground forest biomass (AGB) and its dynamics is of paramount importance in understanding the role of forest in the carbon cycle and the effective implementation of climate change mitigation policies. LiDAR is currently the most accurate technology for...

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Bibliographic Details
Main Authors: Mariano Garcia, Sassan Saatchi, Antonio Ferraz, Carlos Alberto Silva, Susan Ustin, Alexander Koltunov, Heiko Balzter
Format: Article
Language:English
Published: BMC 2017-02-01
Series:Carbon Balance and Management
Subjects:
Airborne LiDAR data
Aboveground biomass
Point density
Data thinning
Echo-based
Canopy height model
Online Access:http://link.springer.com/article/10.1186/s13021-017-0073-1

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http://link.springer.com/article/10.1186/s13021-017-0073-1

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