An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan-Reference-Cited by-同舟云学术

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An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan

Published:2023-05-09 Issue:1 Volume:14 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Basharat Mubeen ul¹,Khan Junaid Ali¹,Abdo Hazem Ghassan²³,Almohamad Hussein⁴

Affiliation:

1. Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan

2. Geography Department, Faculty of Arts and Humanities, Tartous University, Tartous, Syria

3. Geography Department, Faculty of Arts and Humanities, Damascus University, Damascus, Syria

4. Department of Geography, College of Arabic Language and Social Studies, Qassim University, Buraydah 51452, Saudi Arabia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2210255

Reference107 articles.

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

2. Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria

3. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

4. Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan

5. Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan

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1. Characterization and Geomorphic Change Detection of Landslides Using UAV Multi-Temporal Imagery in the Himalayas, Pakistan;Land;2024-06-21

2. Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India;Quaternary Science Advances;2024-06

3. Application of machine learning in the assessment of landslide susceptibility: A case study of mountainous eastern Mediterranean region, Syria;Journal of King Saud University - Science;2024-05

4. Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network;Geocarto International;2024-01

5. Mapping of Landslide Susceptibility Using State-of-the-Art Method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts Region of Bangladesh;Advances in Natural and Technological Hazards Research;2024

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