Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?

Erener, Arzu; Düzgün, Şebnem

doi:10.1007/s12665-011-1297-0

Cited by 123 publications

(47 citation statements)

References 57 publications

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“…These units are used to transition from discrete and possibly overlapping landslide objects to analyses at the scale of the study area, e.g., in the course of the landslide hazard assessment (cf. [29,35,36]). …”

Section: Mapping Unitsmentioning

confidence: 99%

Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

et al. 2017

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Large areas in southern Kyrgyzstan are subjected to high and ongoing landslide activity; however, an objective and systematic assessment of landslide susceptibility at a regional level has not yet been conducted. In this paper, we investigate the contribution that remote sensing can provide to facilitate a quantitative landslide hazard assessment at a regional scale under the condition of data scarcity. We performed a landslide susceptibility and hazard assessment based on a multi-temporal landslide inventory that was derived from a 30-year time series of satellite remote sensing data using an automated identification approach. To evaluate the effect of the resulting inventory on the landslide susceptibility assessment, we calculated an alternative susceptibility model using a historical inventory that was derived by an expert through combining visual interpretation of remote sensing data with already existing knowledge on landslide activity in this region. For both susceptibility models, the same predisposing factors were used: geology, stream power index, absolute height, aspect and slope. A comparison of the two models revealed that using the multi-temporal landslide inventory covering the 30-year period results in model coefficients and susceptibility values that more strongly reflect the properties of the most recent landslide activity. Overall, both susceptibility maps present the highest susceptibility values for similar regions and are characterized by acceptable to high predictive performances. We conclude that the results of the automated landslide detection provide a suitable landslide inventory for a reliable large-area landslide susceptibility assessment. We also used the temporal information of the automatically detected multi-temporal landslide inventory to assess the temporal component of landslide hazard in the form of exceedance probability. The results show the great potential of satellite remote sensing for deriving detailed and systematic spatio-temporal information on landslide occurrences, which can significantly improve landslide susceptibility and hazard assessment at a regional scale, particularly in data-scarce regions such as Kyrgyzstan.

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Section: Mapping Unitsmentioning

confidence: 99%

Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

et al. 2017

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“…This requires the determination of adequate spatial mapping units, which also form the basis for subsequent hazard assessment. They can comprise cells of a regular grid, slope units, unique condition units, seed cells and other spatial units (GUZZETTI et al 1999, VAN DEN EECKHAUT et al 2009, ERENER & DÜZGÜN 2012, SÜZEN & DOYURAN 2004. For this study, morphologically-based slope units which can be derived from DEMbased watershed delineation have been chosen as the most suitable mapping units because they reflect the physical properties of the relief as the main landslide predisposing factor and have the potential for handling the remaining spatial uncertainties contained in the landslide data.…”

Section: Derivation Of Spatial Mapping Unitsmentioning

confidence: 99%

Development of Multi-Temporal Landslide Inventory Information System for Southern Kyrgyzstan Using GIS and Satellite Remote Sensing

Golovko¹,

Roessner²,

Behling³

et al. 2015

pfg

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Summary:In Southern Kyrgyzstan, landslides regularly endanger human lives and infrastructure. They are a very dynamic phenomenon with significant variations of the process activity in different years. This creates a need for the development of new methods of dynamic and spatially differentiated landslide hazard assessment at a regional scale. Because of the large size of the study area (over 12,000 km²), remote sensing data are a valuable and reliable source of detailed and consistent spatial information for landslide investigations in Southern Kyrgyzstan. The paper demonstrates how GIS and remote sensing techniques are used for the acquisition, verification and homogenization of heterogeneous multi-source landslide data with the goal of generating a multi-temporal landslide inventory. Special emphasis is placed on the spatial data consistency, the documentation of temporal information and the possibility to document repeated slope failures within the same slope. The multitemporal landslide inventory is an integral part of a landslide inventory information system, which is implemented in the QGIS environment and provides self-customized functionality for data queries and spatial analysis including the derivation of landslide attributes. The information system contains additional spatial base data such as a spatially consistent multi-temporal archive of satellite images and topographic maps. Zusammenfassung: Entwicklung eines Informationssystems zur multitemporalen

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“…Adicional a la definición del método, la evaluación y zonificación de la susceptibilidad y amenaza requiere la selección con anterioridad de la unidad de análisis [26,10,27]. Hansen [28] define la unidad de análisis como una porción de terreno que contiene un conjunto de condiciones que difieren de la unidad adyacente a lo largo de límites diferenciables.…”

Section: Introductionunclassified

Propuesta metodológica para la zonificación de la susceptibilidad y amenaza por movimientos en masa en proyectos lineales: Caso de estudio Tramo 2, vía Medellín - Turbo

Jiménez

Aristizábal

2018

Bol. Cienc. Tierra

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Although in the literature there are several methods for the determination landslide susceptibility, very few consider the particularities of linear projects. In the present work, it is proposed the combination of heuristic, statistical and physically based modeling methods to evaluate and mapping landslide susceptibility in linear projects, considering regional and local scales. For the regional zoning, the conditional analysis method using Unique Condition Unit (UCU) is proposed, and for local scale physical models: SHALSTAB for soil slopes and the TOBIA index for rock slopes. The validation of the methodology was performed by the area under the curve (AUC) method. The result indicates an adequate performance, and the obtaining of valuable information prior to the construction of the project, but also during the operation, allowing to define sectors of special attention considering the scale of the project.Keywords: Landslide; linear projects; Shalstab; heuristic; susceptibility.Propuesta metodológica para la zonificación de la susceptibilidad y amenaza por movimientos en masa en proyectos lineales: Caso de estudio Tramo 2, vía Medellín -Turbo Resumen Aunque en la literatura existen diferentes métodos para la determinación de la susceptibilidad por movimientos de masas, pocos han considerado las particularidades de los proyectos lineales. En el presente trabajo se propone la combinación de métodos heurísticos, estadísticos y modelación física para evaluar y zonificar la susceptibilidad y amenaza por movimientos en masa en proyectos lineales, teniendo en cuenta su escala regional y local. Para la zonificación regional se propone el método de Análisis Condicional, y para la zonificación local modelos con base física: el método de SHALSTAB para laderas en suelo, y el índice de TOBIA para laderas en roca. La validación de la metodología fue realizada utilizando la Curva de Éxito y el área bajo la curva (AUC). Los resultados arrojan un adecuado desempeño de los modelos implementados, y la obtención de valiosa información necesaria previa a la construcción del proyecto y operación, permitiendo definir sectores críticos.

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Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?

Cited by 123 publications

References 57 publications

Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

Development of Multi-Temporal Landslide Inventory Information System for Southern Kyrgyzstan Using GIS and Satellite Remote Sensing

Propuesta metodológica para la zonificación de la susceptibilidad y amenaza por movimientos en masa en proyectos lineales: Caso de estudio Tramo 2, vía Medellín - Turbo

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