GIS-based landslide hazard assessment: an overview

Wang, Huabin; Liu, Gangjun; Xu, Weiya; Wang, Gonghui

doi:10.1191/0309133305pp462ra

Cited by 215 publications

(88 citation statements)

References 63 publications

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“…The application of techniques for mapping susceptibility to landslides requires the validation step in order to evaluate the results, which is generally done by comparing it with some prior real data, such as images, hazard reports and, mainly, location of scars (Begueria, 2006;Huabin et al, 2005). As the methodological proposal of this study includes techniques and data obtained from the public domain, the validation of the results of the fuzzy gamma technique was not done through landslide-scar maps, that is, a validation technique commonly used in related studies Dymond et al, 2006;Ercanoglu and Gokceoglu, 2004;Vahidnia et al, 2010).…”

Section: Validation Of Resultsmentioning

confidence: 99%

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Camarinha

Canavesi

Alvalá

2014

Nat. Hazards Earth Syst. Sci.

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Abstract. This study presents a methodology for susceptibility mapping of shallow landslides just from data and software from the public domain. The study was conducted in a mountainous region located on the southeastern Brazilian coast, in the state of São Paulo. The proposal is that the methodology can be replicated in a practical and reliable way in several other municipalities that do not have such mappings and that often suffer from landslide-related disasters. The susceptibility mapping was generated based on the following maps: geological, soils, slope, horizontal and vertical curvatures, and land use. The thematic classes of these maps were weighted according to technical and scientific criteria related to the triggering of landslides, and were crossed by the fuzzy gamma technique. The mapping was compared with the risk sector survey made by the Brazilian Geological Survey (CPRM), which is the official database used by municipalities and civil defense in risk management. The results showed positive correlations, so that the critical risk sectors had higher proportions for the more susceptible classes. To compare the approach with other studies using landslide-scar maps, correlated indices were evaluated, which also showed satisfactory results, thus indicating that the methodology presented is appropriate for risk assessment in urban areas.

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Section: Validation Of Resultsmentioning

confidence: 99%

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Camarinha

Canavesi

Alvalá

2014

Nat. Hazards Earth Syst. Sci.

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“…The primary geological hazards in the study area are landslides, and the likelihood of geological dis-asters was calculated based on the DEM, slope and lithology [33][34][35]. GIS technology is also been used increasingly in all aspects of wild land fire management recently [36].…”

Section: Safety Condition (A3)mentioning

confidence: 99%

Campgrounds Suitability Evaluation Using GIS-based Multiple Criteria Decision Analysis: A Case Study of Kuerdening, China

Wang¹,

Yang²,

Liu³

et al. 2016

Open Geosciences

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Abstract:The main objective of this study was to evaluate the suitability and select the most appropriate areas for building campgrounds in Kuerdening, China. To achieve this aim, AHP and GIS-based weighted overlay methods were adopted. AHP was used to determine the weights of the indexes, and ArcGIS 10 was used to calculate and map the campground suitability. In pursuit of minimum environmental effects and sustainable development, this paper identifies four factors to evaluate the suitability of areas for building campgrounds: natural environment condition, landscape condition, safety condition and infrastructure condition. The final outcome of this study was the suitability map for building campgrounds. This research not only provides a theoretical guide for the construction of campgrounds in this area but also provides a scientific and efficient workflow to evaluate the appropriateness of other areas. The result is reasonable and operable for camping facilities development and also useful for managers and planners working in local governments as well as investors.

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“…In landslide-prone areas, landslide hazard assessment provides a scientific basis for the implementation of landuse, emergency management and loss-reduction measures (Huabin et al 2005). Geographical Information System (GIS) was used for landslide susceptibility assessment.…”

Section: Landslide Inventorying Susceptibility Modelling and Impact mentioning

confidence: 99%

Landslide susceptibility mapping in North-East Wales

Miller

Degg

2012

Geomatics, Natural Hazards and Risk

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In North-East Wales, United Kingdom, slope instability is a known environmental hazard which has caused significant damage to the built environment in the recent past. This paper reports on the creation of a digital landslide inventory for North-East Wales and the use of a Geographical Information System (GIS) to create landslide susceptibility models that are applicable to landslide hazard management in the area. The research undertaken has resulted in the most comprehensive landslide inventory of North-East Wales to date, documenting 430 landslides within the area. Landslide susceptibility models created within a GIS using a statistical (multiple logistic regression) approach, divide the landscape of North-East Wales into areas of 'low', 'moderate' and 'high' landslide susceptibility using calculated probability values. These models indicate that 8% of the surface exposure of drift deposits and 12% of the area of solid geology is of high or very high susceptibility to slope instability. Validation tests have demonstrated the accuracy of these models and their potential value in a predictive sense. The digital landslide database and susceptibility models created are readily available to interested stakeholders, and may be useful tools in land-use planning, development of civil contingency plans and as guidance for the insurance industry.

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GIS-based landslide hazard assessment: an overview

Cited by 215 publications

References 63 publications

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Campgrounds Suitability Evaluation Using GIS-based Multiple Criteria Decision Analysis: A Case Study of Kuerdening, China

Landslide susceptibility mapping in North-East Wales

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