Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China

Jewgenij Torizin; Li-chao Wang; Michael Fuchs; Bin Tong; Dirk Balzer; Li-qin Wan; Dirk Kuhn; Ang Li; Liang Chen

doi:10.1007/s11629-017-4717-0

Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China

Journal of Mountain Science ◽

10.1007/s11629-017-4717-0 ◽

2018 ◽

Vol 15 (6) ◽

pp. 1299-1318 ◽

Cited By ~ 7

Author(s):

Jewgenij Torizin ◽

Li-chao Wang ◽

Michael Fuchs ◽

Bin Tong ◽

Dirk Balzer ◽

...

Keyword(s):

Landslide Susceptibility ◽

Dynamic Environment ◽

Gansu Province ◽

Susceptibility Assessment ◽

Nw China ◽

Lanzhou City ◽

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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Landslide susceptibility assessment for a transmission line in Gansu Province, China by using a hybrid approach of fractal theory, information value, and random forest models

Environmental Earth Sciences ◽

10.1007/s12665-021-09737-w ◽

2021 ◽

Vol 80 (12) ◽

Author(s):

Binbin Zhao ◽

Yunfeng Ge ◽

Hongzhi Chen

Keyword(s):

Random Forest ◽

Landslide Susceptibility ◽

Fractal Theory ◽

Hybrid Approach ◽

Gansu Province ◽

Information Value ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment ◽

Forest Models ◽

Random Forest Models

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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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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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Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China

Geocarto International ◽

10.1080/10106049.2017.1404143 ◽

2017 ◽

Vol 34 (4) ◽

pp. 348-367 ◽

Cited By ~ 13

Author(s):

Zhuo Chen ◽

Shouyun Liang ◽

Yutian Ke ◽

Zhikun Yang ◽

Hongliang Zhao

Keyword(s):

Landslide Susceptibility ◽

Frequency Ratio ◽

Belief Function ◽

Ratio Model ◽

Susceptibility Assessment ◽

Certainty Factor ◽

Nw China ◽

Landslide Susceptibility Assessment ◽

Evidential Belief Function ◽

Frequency Ratio Model

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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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