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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Mariano Garcia, Sassan Saatchi, Antonio Ferraz, Carlos Alberto Silva, Susan Ustin, Alexander Koltunov, Heiko Balzter
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: BMC 2017-02-01
Seri Bilgileri:Carbon Balance and Management
Konular:
Airborne LiDAR data
Aboveground biomass
Point density
Data thinning
Echo-based
Canopy height model
Online Erişim:http://link.springer.com/article/10.1186/s13021-017-0073-1

Internet

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

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