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Integrated Remote Sensing and Machine Learning for Urban Air Temperature Assessment and Mapping in Highly Heterogeneous Environments.

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Title: Integrated Remote Sensing and Machine Learning for Urban Air Temperature Assessment and Mapping in Highly Heterogeneous Environments.
Authors: Muradyan, Vahagn1 (AUTHOR), Avetisyan, Rima1,2 (AUTHOR), Asmaryan, Shushanik1 (AUTHOR) anahit.khlghatyan@cens.am, Khlghatyan, Anahit1 (AUTHOR), Hovsepyan, Azatuhi1 (AUTHOR) andrea.bergamaschi02@universitadipavia.it, Tepanosyan, Garegin1 (AUTHOR), Bergamaschi, Andrea2 (AUTHOR), Dell'Acqua, Fabio2 (AUTHOR)
Source: Urban Science. May2026, Vol. 10 Issue 5, p257. 21p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 194175467
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  Data: Integrated Remote Sensing and Machine Learning for Urban Air Temperature Assessment and Mapping in Highly Heterogeneous Environments.
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  Data: <searchLink fieldCode="JN" term="%22Urban+Science%22">Urban Science</searchLink>. May2026, Vol. 10 Issue 5, p257. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194175467
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        Value: 10.3390/urbansci10050257
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 257
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              Text: May2026
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              Y: 2026
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