Improving crop biophysical parameter estimation using high-resolution multispectral UAV imagery and PROSAIL model

Timely, field-scale retrieval of crop biophysical variables is widely regarded as central to data-driven agronomy. In this study, a practical workflow was evaluated in which high-resolution unmanned aerial system (UAS) multispectral imagery was coupled with PROSAIL inversion to map rice canopy trait...

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主要な著者:	Hadi Alizadeh, Zahra Azizi, Ali Asghar Alesheikh, Hossein Aghamohammadi, Hamid Reza Pourghasemi
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2026-03-01
シリーズ:	Smart Agricultural Technology
主題:	UAS Multispectral imaging Prosail inversion Red-edge indices Chlorophyll mapping LAI
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2772375525010032
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