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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-02-01
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Series: | Carbon Balance and Management |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13021-017-0073-1 |