Title
Differentiating Tree and Shrub LAI in a Mixed Forest With ICESat/GLAS Spaceborne LiDAR.
Abstract
Leaf area index (LAI) is an important descriptor of many biological and physical processes of vegetation. However, the challenges associated with differentiating tree and shrub LAI (tsLAI) have hindered research in mixed forests. Being the first spaceborne LiDAR system, geoscience laser altimeter system (GLAS) has demonstrated its advantage in collecting extensive forest structure information. In ...
Year
DOI
Venue
2017
10.1109/JSTARS.2016.2557074
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Vegetation,Laser radar,Vegetation mapping,Remote sensing,Earth,Indexes,Ice
Populus euphratica,Leaf area index,Vegetation,Altimeter,Shrub,Remote sensing,Mean squared error,Lidar,Mathematics,Linear regression
Journal
Volume
Issue
ISSN
10
1
1939-1404
Citations 
PageRank 
References 
4
0.50
14
Authors
5
Name
Order
Citations
PageRank
Jinyan Tian1254.52
Le Wang2182.94
Xiaojuan Li35112.27
Chen Shi461.97
Huili Gong58829.37