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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Ngā kaituhi matua:	Xun Zhao, Jianbo Qi, Jingyi Jiang, Shangbo Liu, Haifeng Xu, Simei Lin, Zhexiu Yu, Linyuan Li, Huaguo Huang
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2024-12-01
Rangatū:	International Journal of Applied Earth Observations and Geoinformation
Ngā marau:	High-resolution data 3D radiative transfer model Retrieval Leaf chlorophyll content
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S1569843224006411
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!