Application of novel ensemble models to improve landslide susceptibility mapping reliability-Reference-Cited by-同舟云学术

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Application of novel ensemble models to improve landslide susceptibility mapping reliability

Published:2023-07-13 Issue:8 Volume:82 Page:
ISSN:1435-9529
Container-title:Bulletin of Engineering Geology and the Environment
language:en
Short-container-title:Bull Eng Geol Environ

Author:

Tong Zhong ling,Guan Qing tao,Arabameri Alireza,Loche Marco,Scaringi Gianvito

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s10064-023-03328-8.pdf

Reference88 articles.

1. Alvioli M, Marchesini I, Reichenbach P, Rossi M, Ardizzone F, Fiorucci F, Guzzetti F (2016) Automatic delineation of geomorphological slope units with r. slopeunits v1. 0 and their optimization for landslide susceptibility modeling. Geosci Model Dev 9(11):3975–3991

2. Alvioli M, Guzzetti F, Marchesini I (2020) Parameter-free delineation of slope units and terrain subdivision of Italy. Geomorphology 358:107124

3. Amatya P, Kirschbaum D, Stanley T, Tanyas H (2021) Landslide mapping using object-based image analysis and open-source tools. Eng Geol 282:106000

4. Arabameri A, Pradhan B, Rezaei K, Lee CW (2019a) Assessment of landslide susceptibility using statistical-and artificial intelligence-based FR–RF integrated model and multiresolution DEMs. Remote Sens 11:999

5. Arabameri A, Pradhan B, Rezaei K, Lee S, Sohrabi M (2019b) An ensemble model for landslide susceptibility mapping in a forested area. Geocarto Int

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