Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model

Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model

Leaf chlorophyll content (LCC) retrieval from remote sensing imagery is essential for monitoring vegetation growth and stress in the agroforestry industry. Many remote sensing inversion methods for estimating LCC primarily rely on 1D radiative transfer models (RTMs) that abstract canopies into horiz...

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Bibliographic Details
Main Authors: Xun Zhao, Jianbo Qi, Jingyi Jiang, Shangbo Liu, Haifeng Xu, Simei Lin, Zhexiu Yu, Linyuan Li, Huaguo Huang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
High-resolution data
3D radiative transfer model
Retrieval
Leaf chlorophyll content
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224006411
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