Application of Hyperspectral LiDAR on 3-D Chlorophyll-Nitrogen Mapping of Rohdea Japonica in Laboratory

Application of Hyperspectral LiDAR on 3-D Chlorophyll-Nitrogen Mapping of Rohdea Japonica in Laboratory

Biochemicals, such as chlorophyll (Chl) and nitrogen (N), are closely related to photosynthesis process of vegetation. Their accurate estimation is an important topic in remote sensing of vegetation. Previous studies mainly focused on Chl-N content inversion in leaf and canopy level, and few cared a...

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Bibliographic Details
Main Authors: Lin Du, Zhili Jin, Bowen Chen, Biwu Chen, Wei Gao, Jian Yang, Shuo Shi, Shalei Song, Mengmeng Wang, Wei Gong, Wei Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial neural network (ANN)
broadband spectral index
Chl-N content mapping
hyperspectral LiDAR (HSL)
Online Access:https://ieeexplore.ieee.org/document/9534709/

Internet

https://ieeexplore.ieee.org/document/9534709/

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