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Environmental Earth Sciences

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01-01-2011 | Original Article

GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China

Authors: Shibiao Bai, Guonian Lü, Jian Wang, Pinggen Zhou, Liang Ding

Published in: Environmental Earth Sciences | Issue 1/2011

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Abstract

Landslides have had a huge effect on human life, the environment and local economic development, and therefore they need to be well understood. In this study, we presented an approach for the analysis and modeling of landslide data using rare events logistic regression and applied the approach to an area in Lianyungang, China. Digital orthophotomaps, digital elevation models of the region, geological maps and different GIS layers including settlement, road net and rivers were collected and applied in the analysis. Landslides were identified by monoscopic manual interpretation and validated during the field investigation. To validate the quality of mapping, the data from the study area were divided into a training set and validation set. The result map showed that 4.26% of the study area was identified as having very high susceptibility to landslides, whereas the others were classified as having very low susceptibility (47.2%), low susceptibility (22.21%), medium susceptibility (14.39%) and high susceptibility (11.93%). The quality of the landslide-susceptibility map produced in this paper was validated, and it can be used for planning protective and mitigation measures. The landslide-susceptibility map is a fundamental part of the Lianyungang city landslide risk assessment.

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Title: GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China
Authors: Shibiao Bai
Guonian Lü
Jian Wang
Pinggen Zhou
Liang Ding
Publication date: 01-01-2011
Publisher: Springer-Verlag
Published in: Environmental Earth Sciences / Issue 1/2011
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-010-0509-3

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