High-resolution lidar-based landslide hazard mapping and modeling, UCSF Parnassus Campus, San Francisco, USA

Haneberg, William C.; Cole, W. F.; Kasali, Gyimah

doi:10.1007/s10064-009-0204-3

Cited by 77 publications

(50 citation statements)

References 11 publications

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“…Due to the great extent and the complexity of the involved areas, we prevalently operated by exploiting LiDAR data. This procedure is confirmed by several authors who analysed ground surface processes by means of high-resolution DTMs (Glenn et al 2006;Ardizzone et al 2007;Haneberg et al 2009;Tarolli 2014;Pirasteh and Li 2016), also in forested areas (Eeckhaut et al 2007;Razak et al 2013;Chen et al 2014) and for large territories (Eeckhaut et al 2007). We employed a visual analysis methodology combining the highresolution DTM and orthoimages.…”

Section: Landslides Identification and Validationsupporting

confidence: 61%

Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy)

Giordan

Cignetti

Baldo

2017

Geomatics, Natural Hazards and Risk

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In the autumn of 2014, a series of rainfall events affected several sectors of the Liguria region, triggering many shallow landslides and causing three casualties and severe structural damages. The most intensely unstable area covered 385 km 2 , in which more than 1600 landslides have been identified. After these events, an airborne Light Detection and Ranging survey was carried out. The survey yielded a high-resolution digital terrain model (DTM) and aerial images that provided a means of identifying and mapping all the occurred landslides. The distribution analysis of slope instabilities highlighted the link with various human activities. In fact, the majority of the detected landslides occurred in man-modified areas. Geospatial and statistical analyses provided the identification of three main anthropic factors: terraces, their level of maintenance and road network. Moreover, they quantified their role in landslide triggering. These factors were not analysed as separate elements, but as a continuous process, overlapping in time, in man-made influence on landscape. The identification of such factors is a key element for a correct behaviour characterization of this landscape towards extreme flash floods events.

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Section: Landslides Identification and Validationsupporting

confidence: 61%

Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy)

Giordan

Cignetti

Baldo

2017

Geomatics, Natural Hazards and Risk

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“…This study demonstrates improvements provided by ALS-DEM for hazard mapping. Along the same line, Haneberg et al (2009) have shown convincing results for shallow landsliding, coupling an infinite slope model with geomorphic characterizations using an ALS-DEM.…”

Section: Alsmentioning

confidence: 62%

Use of LIDAR in landslide investigations: a review

et al. 2010

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This paper presents a short history of the appraisal of laser scanner technologies in geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) or 3D models. A general overview of light detection and ranging (LIDAR) techniques applied to landslides is given, followed by a review of different applications of LIDAR for landslide, rockfall and debris-flow. These applications are classified as: (1) Detection and characterization of mass movements; (2) Hazard assessment and susceptibility mapping; (3) Modelling; (4) Monitoring. This review emphasizes how LIDARderived HRDEMs can be used to investigate any type of landslides. It is clear that such HRDEMs are not yet a common tool for landslides investigations, but this technique has opened new domains of applications that still have to be developed.

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“…Despite modern technological advances, and the availability of new satellite products, the visual interpretation of airborne photographs is still the most common method to obtain landslide information though several other sources of information that may be used such as optical remote sensing images and LiDARderived topographic information (Ardizzone et al, 2007;van den Eeckhaut et al, 2007;Haneberg et al, 2009;Razak et al, 2013;Martha et al, 2010;van den Eeckhaut et al, 2012). Images acquired by synthetic aperture radar (SAR) satellite sensors are also considered as a powerful source of information, mainly for the recognition of slow-moving landslides (Singhroy and Molch, 2004;Zhao et al, 2012).…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

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.

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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.

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High-resolution lidar-based landslide hazard mapping and modeling, UCSF Parnassus Campus, San Francisco, USA

Cited by 77 publications

References 11 publications

Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy)

Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy)

Use of LIDAR in landslide investigations: a review

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

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