Landslide hazard data requirements | CHARIM
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Literature review of landslide. Landslide Susceptibility Statistical Methods: A Critical and Systematic Literatu

On the other hand, however, there are also data layers for which remote sensing data can be the main source of information. Saint Lucia also has a poor quality DEM generated from photogrammetry, but due to limited numbers of measured points, many area have very limited elevation data.

Generation, Propagation, Run-Up and Impact of Landslide Triggered Tsunami: A Literature Review

E-pub ahead of print - 9 Mar King's Authors Monika Mihir Geography Abstract In this paper, we do a critical review of statistical methods for landslide susceptibility modelling and associated terrain zonations.

Optical images with resolutions larger than 10 meters e.

CHAPTER 2. LITERATURE REVIEW. GENERAL. In this chapter types of landslides, general landslide causes, and previous landslide studies in India and . Document Control Sheet. Project Title. Landslide Susceptibility Mapping. Report Title. Literature Review and Findings. Revision. 3. Status. Final.

Landslide information needs to be updated continuously, and land use and elements at risk data need to have an update frequency which may range from 1 to 10 years, depending on the dynamics of land use change in an area. Overview of environmental factors, and their availability and quality for landslide susceptibility and hazard assessment.

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The use of slope gradient maps in landslide hazard assessment is greatly affected by the resolution of the DEM. National scale 1: The analysis showed that there needs to be more clarity and consistency in the methodology for selecting covariates for logistic regression analysis and in the metrics included when presenting the results.

Traditionally, geological maps form a standard component in heuristic and statistical landslide hazard assessment methods. Grant proposal writer cover letter has a DEM generated from much smoothed contour lines, of which the origin is not clear.

  1. Landslide hazard data requirements | CHARIM
  2. Of these, the landslide inventory is by far the most important, as it should give insight into the location of landslide phenomena, the types, failure mechanisms, causal factors, frequency of occurrence, volumes and the damage that has been caused.
  3. Problem solving missions

Given the fact that soil thickness is one of the most crucial factors in deterministic slope stability modeling, it is surprising that very limited work has been done on the modeling of soil thicknesses over larger areas. Especially the land use information should experimental foods research paper evaluated with care, as this is both an environmental factor, which determines the occurrence of new landslides, as well as an element at risk, which may be affected by landslides.

Soil thickness can be modeled using a correlation with topographic factors such as slope, or predicted from a process based model Kuriakose et al.

LITERATURE REVIEW. Introduction. In this chapter, the definition and terminology given for landslide classification system, landslide hazard, knowledge. dammed lakes, paving the way for a systematic approach towards selected phenomena Review of recent research on landslide dams, New Zealand. F ig.

The most common statistically significant covariate used in landslide logistic regression was slope, followed by aspect. Landslide inventory databases should display information on landslide activity, and therefore require multi-temporal landslide information over larger regions.

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Most emphasis is given to landslide inventories, given their high importance, but also a number of aspects dealing with environmental factors, triggering factors and elements at risk will be discussed and illustrated. Traditionally, aerial photo interpretation has been the most used technique for landslide mapping Cardinali et al. The environmental factors are a collection of data layers that are expected to have an effect on the occurrence of landslides, and can be utilized as causal factors in the prediction of future landslides.

The use of wide buffer zones around faults, which is now the standard practice should be treated with caution, as this might be only true for active faults.

Thus, studies using logistic regression for landslide susceptibility estimation published in the literature were collated, and a database was created of the significant factors affecting the generation of landslides. Many developments have taken place in the last decade related to methods for the automatic detection of landslides based on their spectral or altitude characteristics.

For detailed mapping scales, activity analysis is often restricted to a single landslide and becomes more landslide monitoring. The high costs may still be a limitation for obtaining these very high resolution images for particular study areas, especially for multiple dates after the occurrence of main triggering events such as tropical storms or hurricanes.

More information on Digital Elevation Literature review of landslide is given in section 3. Engineering soil maps describe all loose materials on top of case study candle bedrock, and classify them according to the geotechnical characteristics.

PDF | Landslide hazard assessment is an important step towards Article· Literature Review (PDF Available) in SpringerPlus 2(1) Gokceoglu and Sezer () carried out statistical assessment of international landslide literature. They argued that publication of.

For the Caribbean island it would be best to make separate maps for soil slides and rock slides. Fault information is also used frequently as one of the environmental factors in a statistical landslide hazard assessment.

LITERATURE REVIEW. According to Keller and Blodgett (), landslides are an important hazard around the world and they are often connected with other. literature works has been made understand the landslides susceptibility methods following review provides the essence of works carried out in various.

We found that the most common statistical methods used in the study of landslide susceptibility include logistic regression, artificial neural network, discriminant analysis and weight of small business plan nepal. However, practice has shown that the use of sample compare contrast essay high school satellite imagery for multi-temporal landslide detection after major triggering events, especially in tropical areas, is often hampered by the persistent cloud cover in the affected area, which makes it difficult to obtain cloud-free images for a long period of time.

More information

They are based on outcrops, borehole information and essay writing map studies. The time frame for the updating of dynamic data may range from hours to days, for example for meteorological data and its effect on slope hydrology, to months and years for land use see Table 1.

The use of shaded relief images of LiDAR DEMs also allows a much more detailed interpretation of the landslide mechanism as the deformation features within the large landslide are visible, and landslide can be mapped in heavily forested areas Ardizzone et al.

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Table 4 gives an overview of the most important geotechnical, hydrological and vegetation characteristics required for modelling slope stability for soilslides, rock slides and reactivated landslides. A systematic review of landslide probability mapping using logistic regression A systematic review of landslide probability mapping using logistic regression A systematic review of landslide probability mapping using logistic regression Logistic regression studies which assess landslide susceptibility are widely available in the literature.

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Xie et al. Many methods for landslide mapping make use of digital elevation models of the same area from two different periods. Based on previous literature reviews, the analysis of the information collected in the literature database, and our own experience on the subject, we provide recommendations for the preparation, evaluation, and use of landslide susceptibility models and associated terrain zonations.

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However, a global review of these studies to synthesise and compare the results does not exist. Since the first attempts to assess landslide susceptibility in the mids, hundreds of papers have been published using a variety of approaches and methods in different geological and climatic settings.

1. Literature review. We analysed more than papers dealing with the ef- fects and the consequences of CC and landslides pub- lished since (Gariano. Request PDF on ResearchGate | Recent research on landslide dams - A literature review with special attention to New Zealand | More than a decade has .

In detailed hazard studies specific engineering geological maps are collected and rock types are characterized using field tests and laboratory measurements. Table 4: Here, we critically review the statistically-based landslide susceptibility assessment literature by systematically searching for and then compiling an extensive database of peer-review articles from to There are no engineering soil maps available for the four countries and the available pedologic soil maps are old around 40 years and generated within use of GIS or remote sensing, and therefore do not fit well with the rest of the data.

  • Landslide Susceptibility Statistical Methods: A Critical and Systematic Literatu
  • Generation, Propagation, Run-Up and Impact of Landslide Triggered Tsunami: A Literature Review

In the following sections an overview is given of the methods for spatial data collection. Apart from lithological information structural information is very important for hazard assessment, however, such information is not available for any of the countries.

A systematic review of landslide probability mapping using logistic regression - ePrints Soton

Nowadays for many areas the use of Google Earth data is a good alternative and many parts of the world are covered by high resolution imagery which can be downloaded, and combined in GIS with a Digital Elevation Model to generate stereoscopic images, that are essential in landslide interpretation.

In other cases a very narrow buffer zone should be taken, which is related to the zone where rocks are fractured. Many developments have taken place in the last decade related to methods for the automatic detection of grant proposal writer cover letter based on their spectral or altitude characteristics. In this paper, we do a critical and systematic landslide susceptibility literature review, in terms of the different statistical methods used.

Of these, the landslide inventory is by far the most important, as it should give insight into the location of landslide phenomena, the types, failure mechanisms, causal factors, frequency of occurrence, volumes and the damage that has been caused.

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  • Given the fact that soil thickness is one of the most crucial factors in deterministic slope stability modeling, it is surprising that very limited work has been done on the modeling of soil thicknesses over larger areas.

Table 2: Especially the soil depth is very difficult to map over large areas, as it may vary locally quite significantly. An inventory of significant covariates associated with landsliding produced from the full set of such studies globally would be a useful aid to the selection of covariates in future logistic regression studies.

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The database records the paper the data were taken from, the year of publication, the approximate longitude and latitude of the study area, the trigger method where appropriate and the most dominant type of landslides occurring in the study area. Although most of the studies we reviewed assessed the model skill, very few assessed model uncertainty.

None of the islands has good fault maps.

Simple landslide model: Translational slide

However, with the rapid development of new technologies this is starting to change.