Geoenvironmental Conditioning of Landsliding in River Valleys of Lowland Regions and its Significance in Landslide Susceptibility Assessment a Case Study of the Lower Vistula Valley, Northern Poland, Central Europe

Northern Poland ◽

River Valleys

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):

Geotechnical Investigation ◽

Lesser Himalayas

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):

Shallow Landslides ◽

Statistical Analyses ◽

Thematic Maps ◽

Fine Grained ◽

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):

Regional Scale ◽

Gis Techniques

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):

Quantitative Methods ◽

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):

Frequency Ratio ◽

Ratio Method ◽

Mountainous Area ◽

Frequency Ratio Method

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 ◽

Learning Methods ◽

Machine Learning Methods

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 ◽

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 ◽

Republic Of Korea ◽

Series Analysis ◽

Urbanized Area

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):

Rare Events ◽

Conditional Analysis ◽

Logistics Regression ◽

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):

Dynamic Environment ◽

Gansu Province ◽

Nw China ◽

Lanzhou City ◽