Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data

Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data

Clumping index (CI) is a canopy structural variable important for modeling the terrestrial biosphere, but its retrieval from remote sensing data remains one of the least reliable. The majority of regional or global CI products available so far were generated from multiangle optical reflectance data....

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Bibliographic Details
Main Authors: Lei Cui, Ziti Jiao, Kaiguang Zhao, Mei Sun, Yadong Dong, Siyang Yin, Xiaoning Zhang, Jing Guo, Rui Xie, Zidong Zhu, Sijie Li, Yidong Tong
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
GLAS
lidar
model
clumping index (CI)
Beer-Lambert law
gap fraction
Online Access:https://www.mdpi.com/2072-4292/13/5/948

Internet

https://www.mdpi.com/2072-4292/13/5/948

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