Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index

Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index

The accurate retrieval of canopy chlorophyll content (CCC) is essential to the effective monitoring of forest productivity, and environmental stress. However, the clumping index (CI), a vital canopy structural parameter, affects inaccurate remote sensing of forest CCC. In this article, we proposed a...

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Bibliographic Details
Main Authors: Qi Sun, Quanjun Jiao, Liangyun Liu, Xinjie Liu, Xiaojin Qian, Xiao Zhang, Bing Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Clumping index (CI)
forest chlorophyll
four-Scale
medium resolution imaging spectrometer (MERIS)
PROSPECT-D
random forest
Online Access:https://ieeexplore.ieee.org/document/9439052/

Internet

https://ieeexplore.ieee.org/document/9439052/

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