Correcting Crown-Level Clumping Effect for Improving Leaf Area Index Retrieval From Large-Footprint LiDAR: A Study Based on the Simulated Waveform and GLAS Data

Correcting Crown-Level Clumping Effect for Improving Leaf Area Index Retrieval From Large-Footprint LiDAR: A Study Based on the Simulated Waveform and GLAS Data

The demand for leaf area index (LAI) retrieval from spaceborne full-waveform LiDAR increases due to its direct sampling of the three-dimensional forest structure at a near-global scale. However, the nonrandomness (i.e., clumping effect) of canopy composition limits the reliability of LAI derived fro...

Full description

Bibliographic Details
Main Authors: Hailan Jiang, Guangjian Yan, Yiyi Tong, Shiyu Cheng, Xuebo Yang, Ronghai Hu, Linyuan Li, Xihan Mu, Donghui Xie, Wuming Zhang, Guoqing Zhou, Felix Morsdorf
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Clumping effect
full-waveform
leaf area index (LAI)
LiDAR
occlusion effect
Online Access:https://ieeexplore.ieee.org/document/9627532/

Internet

https://ieeexplore.ieee.org/document/9627532/

Similar Items