Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D Radiative Transfer Modeling-Reference-Cited by-同舟云学术

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Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D Radiative Transfer Modeling

Published:2023-11 Issue: Volume:297 Page:113759
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zhao Xun,Qi Jianbo,Xu Haifeng,Yu Zhexiu,Yuan Lijuan,Chen Yiwen,Huang Huaguo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference83 articles.

1. Non-intersecting leaf insertion algorithm for tree structure models;Akerblom;Interface Focus,2018

2. Estimation of maize photosynthesis traits using hyperspectral lidar backscattered intensity;Bi;Remote Sens.,2021

3. A TIR forest reflectance and transmittance (FRT) model for directional temperatures with structural and thermal stratification;Bian;Remote Sens. Environ.,2022

4. Plantation forests and biodiversity: oxymoron or opportunity;Brockerhoff;Biodivers. Conserv.,2008

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