Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China

Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China

Forest Aboveground Biomass (AGB) is a key parameter for assessing forest productivity and global carbon content. In previous studies, AGB has been estimated using various prediction methods and types of remote sensing data. Increasingly, there is a trend towards integrating various data sources such...

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Bibliographic Details
Main Authors: Luodan Cao, Jianjun Pan, Ruijuan Li, Jialin Li, Zhaofu Li
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
forest AGB
airborne LiDAR
prediction model
terrain variables
Online Access:http://www.mdpi.com/2072-4292/10/4/532

Internet

http://www.mdpi.com/2072-4292/10/4/532

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