Comparing landslide inventory maps

Galli, M.; Ardizzone, Francesca; Cardinali, Mauro; Guzzetti, Fausto; Reichenbach, Paola

doi:10.1016/j.geomorph.2006.09.023

Cited by 502 publications

(356 citation statements)

References 31 publications

Supporting

Mentioning

311

Contrasting

Unclassified

Order By: Relevance

“…In addition, the quality of the final map depends on the spatial resolution of the airborne photographs, the scale of the topographic maps, and the complexity of the landscape (Carrara et al, 1992;Ardizzone et al, 2002;Galli et al, 2008). The interpretation of the airborne photographs to produce the landslide inventory map may also induce some mapping errors (Marchesini et al, 2013;Santangelo et al, 2015).…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

“…Geomorphological features, such as fissures, grabens, ponds, vegetation removal and other morphological changes, may provide information on landslide activity. Geomorphological landslide inventory maps prepared for different periods associated with event landslide maps can be useful to evaluate the temporal and the spatial evolution of multiple failures over long periods of time (e.g., years to decades; Galli et al, 2008). The event-based or multi-date landslide inventories preparation is hindered by uncertainties linked to the specificity of the source documents (scale, spatial resolution, time period), the type and size of the landslides as well as by the skills of the…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. In the paper we analyse a multi-date landslide inventory prepared for a mountainous area affected by several landslide types with different degrees of activity, we attempt to quantify the uncertainties associated to the mapping, we measure the evolution of morphological indicators and estimate landslide activity and temporal occurrence. The inventory, covering the period 1956-2010, is prepared for the middle section of the Ubaye valley (southern French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, orthophotographs and SAR (synthetic aperture radar) satellite images). The uncertainties derived from the expert interpretation of different sources of information, the landslide morphological features and the affected land covers are taken into account in relation to the source documents.Morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency-area density functions are computed to estimate the changes in the landslide distributions and a Poisson model is used to estimate the probability of reactivation of the observed landslides and the occurrence of new failures. The proposed multi-date inventory and the associated statistics provide additional information to the event catalogue managed by the local policy makers.

show abstract

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…4). As pointed out in many regions worldwide, landslides are linked to slopes [16,36,[42][43][44][45][46][47]. Two characteristics are classically considered: slope orientation and slope dipping.…”

Section: Slope Orientation and Slope Dippingmentioning

confidence: 99%

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

et al. 2016

View full text Add to dashboard Cite

Abstract:The Ndop Plain, located along the Cameroon Volcanic Line (CVL), is a volcano-tectonic plain, formed by a series of tectonic movements, volcanic eruptions and sedimentation phases. Floods (annually) and landslides (occasionally) occur with devastating environmental effects. However, this plain attracts a lot of inhabitants owing to its fertile alluvial soils. With demographic explosion in the plain, the inhabitants (143,000 people) tend to farm and inhabit new zones which are prone to these geohazards. In this paper, we use field observations, laboratory analyses, satellite imagery and complementary methods using appropriate software to establish hazard (flood and landslide) maps of the Ndop Plain. Natural factors as well as anthropogenic factors are considered. The hazard maps revealed that 25% of the area is exposed to flood hazard (13% exposed to high flood hazard, 12% to moderate) and 5% of the area is exposed to landslide hazard (2% exposed to high landslide hazard, 3% to moderate). Some mitigation measures for floods (building of artificial levees, raising foundations of buildings and the meticulous regulation of the flood guards at Bamendjing Dam) and landslides (slope terracing, planting of trees, and building retaining walls) are proposed.

show abstract

“…A combination of various sources, means and methods have been suggested for landslide inventory mapping, as no single best method for landslide inventorization exists (Galli et al, 2008;van Westen et al, 2008). A detailed landslide inventory for susceptibility assessment requires mainly the following data inputs: the location of a landslide, its frequency, cause of the landslide and type.…”

Section: Landslide Database Generationmentioning

confidence: 99%

Database Organisation in a Web-Enabled Free and Open-Source Software (Foss) Environment for Spatio-Temporal Landslide Modelling

Das

Oberai

Roy

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Landslides exhibit themselves in different mass movement processes and are considered among the most complex natural hazards occurring on the earth surface. Making landslide database available online via WWW (World Wide Web) promotes the spreading and reaching out of the landslide information to all the stakeholders. The aim of this research is to present a comprehensive database for generating landslide hazard scenario with the help of available historic records of landslides and geo-environmental factors and make them available over the Web using geospatial Free & Open Source Software (FOSS). FOSS reduces the cost of the project drastically as proprietary software's are very costly. Landslide data generated for the period 1982 to 2009 were compiled along the national highway road corridor in Indian Himalayas. All the geo-environmental datasets along with the landslide susceptibility map were served through WEBGIS client interface. Open source University of Minnesota (UMN) mapserver was used as GIS server software for developing web enabled landslide geospatial database. PHP/Mapscript server-side application serve as a front-end application and PostgreSQL with PostGIS extension serve as a backend application for the web enabled landslide spatio-temporal databases. This dynamic virtual visualization process through a web platform brings an insight into the understanding of the landslides and the resulting damage closer to the affected people and user community. The landslide susceptibility dataset is also made available as an Open Geospatial Consortium (OGC) Web Feature Service (WFS) which can be accessed through any OGC compliant open source or proprietary GIS Software.

show abstract

Comparing landslide inventory maps

Cited by 502 publications

References 31 publications

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

Database Organisation in a Web-Enabled Free and Open-Source Software (Foss) Environment for Spatio-Temporal Landslide Modelling

Contact Info

Product

Resources

About