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An integrated artificial intelligence-deep learning approach for vegetation canopy assessment and monitoring through satellite images.

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Title: An integrated artificial intelligence-deep learning approach for vegetation canopy assessment and monitoring through satellite images.
Authors: Shamloo, Nazila1 (AUTHOR) nshamloo1991@gmail.com, Sattari, Mohammad Taghi1,2 (AUTHOR) mtsattar@tabrizu.ac.ir, Kamran, Khalil Valizadeh3 (AUTHOR) valizadeh@tabrizu.ac.ir, Apaydin, Halit2 (AUTHOR) apaydin@ankara.edu.tr
Source: Stochastic Environmental Research & Risk Assessment. Apr2025, Vol. 39 Issue 4, p1623-1645. 23p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 184556298
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  Data: <searchLink fieldCode="JN" term="%22Stochastic+Environmental+Research+%26+Risk+Assessment%22">Stochastic Environmental Research & Risk Assessment</searchLink>. Apr2025, Vol. 39 Issue 4, p1623-1645. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=184556298
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        Value: 10.1007/s00477-025-02938-w
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      – Code: eng
        Text: English
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      – TitleFull: An integrated artificial intelligence-deep learning approach for vegetation canopy assessment and monitoring through satellite images.
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            NameFull: Kamran, Khalil Valizadeh
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              Text: Apr2025
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              Y: 2025
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              Value: 39
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