Landslide Susceptibility Zonation Mapping Using Frequency Ratio, Information Value Model, and Logistic Regression Model: A Case Study of Kohima District in Nagaland, India-Reference-Cited by-同舟云学术

Landslide Susceptibility Zonation Mapping Using Frequency Ratio, Information Value Model, and Logistic Regression Model: A Case Study of Kohima District in Nagaland, India

Published:2023 Issue: Volume: Page:333-363
ISSN:
Container-title:Landslides: Detection, Prediction and Monitoring
language:
Short-container-title:

Author:

Yadav Manish,Pal Sanjit Kumar,Singh Prasoon Kumar,Gupta Neha

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23859-8_17

Reference174 articles.

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3. Ahlmer AK, Cavalli M, Hansson K, Koutsouris AJ, Crema S, Kalantari Z (2018) Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure. Environ Earth Sci 77(14):1–17

4. Aier I, Singh MP, Thong GT et al (2012) Instability analyses of Merhülietsa slide, Kohima, Nagaland. Nat Hazards 60:1347–1363. https://doi.org/10.1007/s11069-011-9913-6

5. Akgün A, Türk N (2011) Mapping erosion susceptibility by a multivariate statistical method: a case study from the Ayvalık region, NW Turkey. Comput Geosci 37(9):1515–1524

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