Integrating landslide magnitude in the susceptibility assessment of the City of Doboj, using machine learning and heuristic approach-Reference-Cited by-同舟云学术

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Integrating landslide magnitude in the susceptibility assessment of the City of Doboj, using machine learning and heuristic approach

Published:2023-01-05 Issue:1 Volume:19 Page:
ISSN:1744-5647
Container-title:Journal of Maps
language:en
Short-container-title:Journal of Maps

Author:

Sandić Cvjetko¹²^ORCID,Marjanović Miloš¹,Abolmasov Biljana¹^ORCID,Tošić Radislav³

Affiliation:

1. Faculty of Mining and Geology, University of Belgrade, Belgrade, Serbia

2. Geological Survey of the Republic of Srpska, Zvornik, The Republic of Srpska, Bosnia and Herzegovina

3. Faculty of Natural Sciences and Mathematics, University of Banja Luka, Banja Luka, The Republic of Srpska, Bosnia and Herzegovina

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445647.2022.2163199

Reference23 articles.

1. Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)

2. Geology, slow-moving landslides, and damages to buildings in the Verbicaro area (north-western Calabria region, southern Italy)

3. Applicability of landslide susceptibility and hazard zoning at different scales

4. Recommendations for the quantitative analysis of landslide risk

5. Dikau, R. A. (1996). Landslide recognition: Identification, movement and causes (Vol. 1). John Wiley and Sons.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Comparison of Stable and Unstable Area Sampling Strategies in Large-Scale Landslide Susceptibility Models Using Machine Learning Methods;Remote Sensing;2024-08-09

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