Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhessd-3-1137-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
05 Feb 2015
Review status
This discussion paper has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The revised manuscript was not accepted.
Landslide susceptibility analysis by means of event-based multi-temporal landslide inventories
C. M. Tseng1, C. W. Lin2, and W. D. Hsieh2 1Department of Land Management and Development, Chang Jung Christian University, No. 1, Changda Road, Gueiren District, Tainan City, Taiwan
2Department of Earth Sciences, National Cheng Kung University, No. 1, University Road, Tainan City, Taiwan
Abstract. This study uses landslide inventory of a single typhoon event and Weight of Evidence (WOE) analysis to establish landslide susceptibility map of the Laonung River in southern Taiwan. Eight factors including lithology, elevation, slope, slope aspect, landform, Normalized Difference Vegetation Index (NDVI), distance to geological structure, and distance to stream are used to evaluate the susceptibility of landslide. Effect analysis and the assessment of grouped factors showed that lithology, slope, elevation, and NDVI are the dominant factors of landslides in the study area. Landslide susceptibility analysis with these four factors achieves over 90% of the AUC (area under curve) of the success rate curve of all eight factors. Four landslide susceptibility models for four typhoons from 2007 to 2009 are established, and each model is cross validated. Results indicate that the best model should be constructed by using landslide inventory close to the landslide occurrence threshold and should reflect the most common spatial rainfall pattern in the study region for ideal simulation and validation results. The prediction accuracy of the best model in this study reached 90.2%. The two highest susceptibility categories (very high and high levels) cover around 80% of the total landslides in the study area.

Citation: Tseng, C. M., Lin, C. W., and Hsieh, W. D.: Landslide susceptibility analysis by means of event-based multi-temporal landslide inventories, Nat. Hazards Earth Syst. Sci. Discuss., 3, 1137-1173, https://doi.org/10.5194/nhessd-3-1137-2015, 2015.
C. M. Tseng et al.
C. M. Tseng et al.

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Short summary
This study applies landslide inventory of a single typhoon and WOE analysis to establish landslide susceptibility model. We apply multi-temporal satellite images to map four different scales of event-based new landslide inventories. The most suitable typhoon scale to establish an optimal model is discussed. The prediction accuracy of the landslide susceptibility map in this study shows the advantage of a model established by using an event-based landslide inventory.
This study applies landslide inventory of a single typhoon and WOE analysis to establish...
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