Data Imbalance in Landslide Susceptibility Zonation: A Case Study of Mandakini River Basin, Uttarakhand, India

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323230 ◽

2020 ◽

Author(s):

Sharad Kumar Gupta ◽

Dericks P. Shukla

Keyword(s):

River Basin ◽

Landslide Susceptibility ◽

Data Imbalance ◽

Landslide Susceptibility Zonation

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Modelling of Landslide Susceptibility Zonation Using Shannon’s Entropy Index and weight of evidence model (Case Study: Sarkhoon's Karoon)

Journal of Water and Soil Science ◽

10.18869/acadpub.jstnar.21.1.51 ◽

2017 ◽

Vol 21 (1) ◽

pp. 51-68 ◽

Author(s):

kourosh shirani ◽

Keyword(s):

Landslide Susceptibility ◽

Shannon’S Entropy ◽

Weight Of Evidence ◽

Entropy Index ◽

Shannon's Entropy ◽

Landslide Susceptibility Zonation ◽

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An approach for GIS-based statistical landslide susceptibility zonation?with a case study in the Himalayas

10.1007/s10346-004-0039-8 ◽

2005 ◽

Vol 2 (1) ◽

pp. 61-69 ◽

Author(s):

Ashis K. Saha ◽

Ravi P. Gupta ◽

Irene Sarkar ◽

Manoj K. Arora ◽

Elmar Csaplovics

Keyword(s):

Landslide Susceptibility ◽

Landslide Susceptibility Zonation

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Landslide Susceptibility Zonation Mapping: A Case Study from Darjeeling District, Eastern Himalayas, India

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-018-0916-6 ◽

2019 ◽

Vol 47 (3) ◽

pp. 497-511 ◽

Author(s):

Amit Chawla ◽

Srinivas Pasupuleti ◽

Sowmiya Chawla ◽

A. C. S. Rao ◽

Kripamoy Sarkar ◽

...

Keyword(s):

Landslide Susceptibility ◽

Eastern Himalayas ◽

Landslide Susceptibility Zonation

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Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin

Geomorphology ◽

10.1016/j.geomorph.2019.106975 ◽

2020 ◽

Vol 351 ◽

pp. 106975 ◽

Author(s):

Qiao Hu ◽

Yi Zhou ◽

Shixing Wang ◽

Futao Wang

Keyword(s):

Machine Learning ◽

River Basin ◽

Landslide Susceptibility ◽

Fractal Theory ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping ◽

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Landslide Susceptibility Zonation Mapping Using Bivariate Statistical Frequency Ratio method and GIS: A Case Study in Part of SH 37 Ghat Road, Nadugani, Panthalur Taluk, The Nilgiris

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-020-01207-3 ◽

2020 ◽

Author(s):

S. E. Saranaathan ◽

S. Mani ◽

V. Ramesh ◽

S. Prasanna Venkatesh

Keyword(s):

Landslide Susceptibility ◽

Frequency Ratio ◽

Ratio Method ◽

Landslide Susceptibility Zonation ◽

Frequency Ratio Method ◽

Statistical Frequency ◽

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Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea

Natural Hazards ◽

10.1007/s11069-014-1065-z ◽

2014 ◽

Vol 72 (2) ◽

pp. 1189-1217 ◽

Author(s):

Ananta Man Singh Pradhan ◽

Yun-Tae Kim

Keyword(s):

South Korea ◽

Landslide Susceptibility ◽

Relative Effect ◽

Landslide Susceptibility Zonation ◽

Weathered Granite ◽

Weathered Granite Soil ◽

Granite Soil ◽

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Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria

International Journal of Environmental Science and Technology ◽

10.1007/s13762-021-03322-1 ◽

2021 ◽

Author(s):

H. G. Abdo

Keyword(s):

Landslide Susceptibility ◽

Frequency Ratio ◽

Statistical Index ◽

Landslide Susceptibility Zonation

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An approach for GIS-based statistical landslide susceptibility zonation: with a case study in the northern part of El Salvador

10.1117/12.737835 ◽

2007 ◽

Author(s):

V. Kopačková ◽

J. Šebesta

Keyword(s):

El Salvador ◽

Landslide Susceptibility ◽

Landslide Susceptibility Zonation

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Prediction of Landslide Susceptibility Using logistic Regression: A Case Study in Bailongjiang River Basin, China

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2008.524 ◽

2008 ◽

Author(s):

S. B. Bai ◽

J. Wang ◽

F. Y. Zhang ◽

A. Pozdnoukhov ◽

M. Kanevski

Keyword(s):

Logistic Regression ◽

River Basin ◽

Landslide Susceptibility

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Landslide susceptibility zonation mapping using statistical index and landslide susceptibility analysis methods: A case study from Gindeberet district, Oroima Regional State, central Ethiopia

Journal of African Earth Sciences ◽

10.1016/j.jafrearsci.2021.104240 ◽

2021 ◽

pp. 104240

Author(s):

Gebremedhin Berhane ◽

Kumarra Tadesse

Keyword(s):

Landslide Susceptibility ◽

Statistical Index ◽

Central Ethiopia ◽

Susceptibility Analysis ◽

Landslide Susceptibility Zonation ◽

Regional State ◽

Analysis Methods

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