An integrative approach for regional landslide susceptibility assessment using weight of evidence method: a case study of Yom River Basin, Phrae Province, Northern Thailand

Suree Teerarungsigul; Jewgenij Torizin; Michael Fuchs; Friedrich Kühn; Chongpan Chonglakmani

doi:10.1007/s10346-015-0659-1

An integrative approach for regional landslide susceptibility assessment using weight of evidence method: a case study of Yom River Basin, Phrae Province, Northern Thailand

Landslides ◽

10.1007/s10346-015-0659-1 ◽

2015 ◽

Vol 13 (5) ◽

pp. 1151-1165 ◽

Cited By ~ 12

Author(s):

Suree Teerarungsigul ◽

Jewgenij Torizin ◽

Michael Fuchs ◽

Friedrich Kühn ◽

Chongpan Chonglakmani

Keyword(s):

River Basin ◽

Landslide Susceptibility ◽

Weight Of Evidence ◽

Integrative Approach ◽

Susceptibility Assessment ◽

Northern Thailand ◽

Landslide Susceptibility Assessment

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Geotechnical investigation and landslide susceptibility assessment along the Neelum road: a case study from Lesser Himalayas, Pakistan

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07396-6 ◽

2021 ◽

Vol 14 (11) ◽

Author(s):

Khawaja Shoaib Ahmed ◽

Muhammad Basharat ◽

Muhammad Tayyib Riaz ◽

Yasir Sarfraz ◽

Amir Shahzad

Keyword(s):

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Geotechnical Investigation ◽

Landslide Susceptibility Assessment ◽

Lesser Himalayas

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Optimal use of thematic maps for landslide susceptibility assessment by means of statistical analyses: Case study of shallow landslides in fine grained soils

Landslides and Engineered Slopes. Experience, Theory and Practice ◽

10.1201/b21520-58 ◽

2016 ◽

pp. 537-544 ◽

Cited By ~ 6

Author(s):

M Calvello ◽

M Ciurleo

Keyword(s):

Landslide Susceptibility ◽

Shallow Landslides ◽

Statistical Analyses ◽

Susceptibility Assessment ◽

Thematic Maps ◽

Fine Grained ◽

Landslide Susceptibility Assessment

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GIS techniques for regional-scale landslide susceptibility assessment: the Sicily (Italy) case study

International Journal of Geographical Information Science ◽

10.1080/13658816.2012.693614 ◽

2013 ◽

Vol 27 (7) ◽

pp. 1433-1452 ◽

Cited By ~ 40

Author(s):

G. Manzo ◽

V. Tofani ◽

S. Segoni ◽

A. Battistini ◽

F. Catani

Keyword(s):

Landslide Susceptibility ◽

Regional Scale ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment ◽

Gis Techniques

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Landform classification: a high-performing mapping unit partitioning tool for landslide susceptibility assessment—a test in the Imera River basin (northern Sicily, Italy)

Landslides ◽

10.1007/s10346-021-01781-8 ◽

2022 ◽

Author(s):

Chiara Martinello ◽

Chiara Cappadonia ◽

Christian Conoscenti ◽

Edoardo Rotigliano

Keyword(s):

River Basin ◽

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Mapping Unit ◽

High Performing ◽

Landslide Susceptibility Assessment ◽

Landform Classification

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Landslide Susceptibility Assessment Using Quantitative Methods - Case Study in Satu Mare County, Romania

74th EAGE Conference and Exhibition incorporating EUROPEC 2012 ◽

10.3997/2214-4609.20148918 ◽

2012 ◽

Author(s):

A. A. Hulpoi

Keyword(s):

Landslide Susceptibility ◽

Quantitative Methods ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment

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Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China

Journal of Mountain Science ◽

10.1007/s11629-019-5702-6 ◽

2020 ◽

Vol 17 (2) ◽

pp. 340-357 ◽

Cited By ~ 8

Author(s):

Yi-xing Zhang ◽

Heng-xing Lan ◽

Lang-ping Li ◽

Yu-ming Wu ◽

Jun-hui Chen ◽

...

Keyword(s):

Landslide Susceptibility ◽

Frequency Ratio ◽

Ratio Method ◽

Mountainous Area ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment ◽

Frequency Ratio Method

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A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

Environmental Modelling & Software ◽

10.1016/j.envsoft.2016.07.005 ◽

2016 ◽

Vol 84 ◽

pp. 240-250 ◽

Cited By ~ 197

Author(s):

Binh Thai Pham ◽

Biswajeet Pradhan ◽

Dieu Tien Bui ◽

Indra Prakash ◽

M.B. Dholakia

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Learning Methods ◽

Landslide Susceptibility Assessment ◽

Machine Learning Methods

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GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, N-E Algeria

Arabian Journal of Geosciences ◽

10.1007/s12517-018-3770-5 ◽

2018 ◽

Vol 11 (17) ◽

Cited By ~ 16

Author(s):

Fatna Mahdadi ◽

Abederrahmane Boumezbeur ◽

Riheb Hadji ◽

Debi Prasanna Kanungo ◽

Farid Zahri

Keyword(s):

Statistical Models ◽

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment

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Urbanized Area Landslide Susceptibility Assessment Using Time-series Analysis: A Case Study in Gyeongsangnam-do, Republic of Korea

Sensors and Materials ◽

10.18494/sam.2021.3375 ◽

2021 ◽

Vol 33 (x) ◽

pp. 1

Author(s):

Ho Gul Kim

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Landslide Susceptibility ◽

Republic Of Korea ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment ◽

Series Analysis ◽

Urbanized Area

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Landslide Susceptibility Assessment Using Conditional Analysis and Rare Events Logistics Regression: A Case-Study in the Antrodoco Area (Rieti, Italy)

Journal of Geoscience and Environment Protection ◽

10.4236/gep.2016.412001 ◽

2016 ◽

Vol 04 (12) ◽

pp. 1-21 ◽

Cited By ~ 1

Author(s):

Vittorio Chiessi ◽

Simona Toti ◽

Valerio Vitale

Keyword(s):

Landslide Susceptibility ◽

Rare Events ◽

Conditional Analysis ◽

Susceptibility Assessment ◽

Logistics Regression ◽

Landslide Susceptibility Assessment

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