Optimizing UAV Hyperspectral Imaging for Urban Tree Chlorophyll and Leaf Area Index Retrieval

Optimizing UAV Hyperspectral Imaging for Urban Tree Chlorophyll and Leaf Area Index Retrieval

Uncrewed aerial vehicle (UAV) based hyperspectral imaging offers a flexible method for monitoring urban trees. However, its effect on estimating biochemical and biophysical parameters is still unknown. This article examines how spatial and spectral resolution, solar zenith angle (SZA), and diffuse s...

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Bibliographic Details
Main Authors: Shanshan Wei, Tiangang Yin, Bo Yuan, Kim Hwa Lim, Soo Chin Liew, Andrew J. Whittle
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Chlorophyll content (C<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$_ab$</tex-math> </inline-formula> </named-content>)
hyperspectral remote sensing
leaf area index (LAI)
uncrewed aerial vehicles (UAVs)
Online Access:https://ieeexplore.ieee.org/document/10759629/
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