Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran-Reference-Cited by-同舟云学术

Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

Published:2013-03-26 Issue:2 Volume:122 Page:349-369
ISSN:0253-4126
Container-title:Journal of Earth System Science
language:en
Short-container-title:J Earth Syst Sci

Author:

POURGHASEMI HAMID REZA,JIRANDEH ABBAS GOLI,PRADHAN BISWAJEET,XU CHONG,GOKCEOGLU CANDAN

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/content/pdf/10.1007/s12040-013-0282-2.pdf

Reference85 articles.

1. Akgun A 2011 A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at İzmir, Turkey; Landslides, doi: 10.1007/s10346-011-0283-7 .

2. Akgun A and Bulut F 2007 GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region; Environ. Geol. 51(8) 1377–1387.

3. Akgun A and Turk N 2010 Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multi criteria decision analysis; Environ. Earth Sci. 61(3) 595–611.

4. Akgun A, Dag S and Bulut F 2008 Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood frequency ratio and weighted linear combination models; Environ. Geol. 54(6) 1127–1143.

5. Akgun A, Kıncal C and Pradhan B 2011a Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey); Environ. Monit. Assess., doi: 10.1007/s10661-011-2352-8 .

Cited by 286 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. Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review;Remote Sensing;2024-08-12

2. Important considerations in machine learning-based landslide susceptibility assessment under future climate conditions;Acta Geotechnica;2024-08-03

3. Surface displacement measurement and modeling of the Shah-Gheyb salt dome in southern Iran using InSAR and machine learning techniques;International Journal of Applied Earth Observation and Geoinformation;2024-08

4. Unveiling Deep-Seated Gravitational Slope Deformations via Aerial Photo Interpretation and Statistical Analysis in an Accretionary Complex in Japan;Sustainability;2024-06-22

5. Landslide susceptibility mapping based on the reliability of landslide and non-landslide sample;Expert Systems with Applications;2024-06