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Assessing Landslide Vulnerability in Deforested Areas of Sumatra Island Using Remote Sensing and Machine Learning.

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Title: Assessing Landslide Vulnerability in Deforested Areas of Sumatra Island Using Remote Sensing and Machine Learning.
Authors: Reynaldi, Ifandra Kusuma Cahya1,2, ifandrakusumacahyareynaldi@gmail.com, Sakti, Anjar Dimara1,2, anjar@itb.ac.id2, Suwardhi, Deni1,2, deni.suwardhi@itb.ac.id, Harto, Agung Budi1,2
Source: EAI Computing & Communication in Emerging Regions - CCER; 2024, p1-11, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183258681
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183258681
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
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      – TitleFull: Assessing Landslide Vulnerability in Deforested Areas of Sumatra Island Using Remote Sensing and Machine Learning.
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            NameFull: Reynaldi, Ifandra Kusuma Cahya
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            NameFull: Sakti, Anjar Dimara
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            NameFull: Suwardhi, Deni
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            NameFull: Harto, Agung Budi
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            – D: 01
              M: 01
              Text: 2024
              Type: published
              Y: 2024
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            – Type: issn-print
              Value: 25937650
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            – TitleFull: EAI Computing & Communication in Emerging Regions - CCER
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