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State-level landslide susceptibility mapping using machine learning models: A case study of Nagaland, India.

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Title: State-level landslide susceptibility mapping using machine learning models: A case study of Nagaland, India.
Authors: Chetia, Sourav1,2 (AUTHOR), Kumar, Chandan3 (AUTHOR) ckumar@mtu.edu, Medhi, Sujata1,4 (AUTHOR), Saikia, Anup1 (AUTHOR)
Source: Journal of Earth System Science. Mar2026, Vol. 135 Issue 1, p1-22. 22p.
Database: Environment Complete
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  Data: State-level landslide susceptibility mapping using machine learning models: A case study of Nagaland, India.
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  Data: <searchLink fieldCode="AR" term="%22Chetia%2C+Sourav%22">Chetia, Sourav</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Chandan%22">Kumar, Chandan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ckumar@mtu.edu</i><br /><searchLink fieldCode="AR" term="%22Medhi%2C+Sujata%22">Medhi, Sujata</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saikia%2C+Anup%22">Saikia, Anup</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Earth+System+Science%22">Journal of Earth System Science</searchLink>. Mar2026, Vol. 135 Issue 1, p1-22. 22p.
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      – Type: doi
        Value: 10.1007/s12040-025-02717-9
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: State-level landslide susceptibility mapping using machine learning models: A case study of Nagaland, India.
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            NameFull: Chetia, Sourav
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            NameFull: Kumar, Chandan
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            NameFull: Medhi, Sujata
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              Text: Mar2026
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              Y: 2026
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              Value: 135
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