Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (ML = 6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters-Reference-Cited by-同舟云学术

Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (ML = 6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters

Published:2023-10-16 Issue:2 Volume:120 Page:1041-1069
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Vanani A. A. Ghaedi^ORCID,Eslami M.,Ghiasi Y.,Keyvani F.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-023-06240-2.pdf

Reference110 articles.

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2. Azarafza M, Azarafza M, Akgün H et al (2021) Deep learning-based landslide susceptibility mapping. Sci Rep 11:24112. https://doi.org/10.1038/s41598-021-03585-1

3. Bagheri A, Shad R (2015) Application of artificial neural network in landslide hazard zonation by remote sensing and GIS, International Conference of Civil Engineering and Architecture and urban infrastructure, Tabriz, Iran

4. Barlow J et al (2003) Detecting translational landslide scars using segmentation of Landsat ETM+ and DEM data in the northern Cascade Mountains, British Columbia. Can J Remote Sens 29(4):510–517

5. Berberian M, King GCP (1981) Towards a paleogeography and tectonic evolution of Iran. Can J Earth Sci 18:210–265

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