Integrating environmental predictors and deep learning approach for spatiotemporal dust storm risk mapping and impacts modeling on land, health and food security.

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Title: Integrating environmental predictors and deep learning approach for spatiotemporal dust storm risk mapping and impacts modeling on land, health and food security.
Authors: Yariyan, Peyman1 (AUTHOR), Feizizadeh, Bakhtiar1 (AUTHOR), Blaschke, Thomas2 (AUTHOR) Thomas.Blaschke@plus.ac.at, Yakar, Murat3 (AUTHOR), Karimzadeh, Sadra1 (AUTHOR)
Source: International Journal of Digital Earth. 2026, Vol. 19 Issue 1, p1-32. 32p.
Database: Academic Search Ultimate
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  Data: Integrating environmental predictors and deep learning approach for spatiotemporal dust storm risk mapping and impacts modeling on land, health and food security.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Digital+Earth%22">International Journal of Digital Earth</searchLink>. 2026, Vol. 19 Issue 1, p1-32. 32p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195177589
RecordInfo BibRecord:
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        Value: 10.1080/17538947.2026.2654262
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      – Code: eng
        Text: English
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        PageCount: 32
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      – TitleFull: Integrating environmental predictors and deep learning approach for spatiotemporal dust storm risk mapping and impacts modeling on land, health and food security.
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            NameFull: Yariyan, Peyman
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            NameFull: Feizizadeh, Bakhtiar
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            NameFull: Blaschke, Thomas
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            NameFull: Yakar, Murat
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 19
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