Combining Multi-Source Remotely Sensed Data and a Process-Based Model for Forest Aboveground Biomass Updating

Combining Multi-Source Remotely Sensed Data and a Process-Based Model for Forest Aboveground Biomass Updating

Monitoring and understanding the spatio-temporal variations of forest aboveground biomass (AGB) is a key basis to quantitatively assess the carbon sequestration capacity of a forest ecosystem. To map and update forest AGB in the Greater Khingan Mountains (GKM) of China, this work proposes a physical...

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Bibliographic Details
Main Authors: Xiaoman Lu, Guang Zheng, Colton Miller, Ernesto Alvarado
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
process-based model
NPP
AGB
BEPS
ALS
Online Access:https://www.mdpi.com/1424-8220/17/9/2062

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