Global Positioning Systems and digital photogrammetry for the monitoring of mass movements: application to the Ca' di Malta landslide (northern Apennines, Italy)

Mora, Paolo; Baldi, P.; Casula, Giuseppe; Fabris, Massimo; Ghirotti, Monica; Mazzini, E.; Pesci, A.

doi:10.1016/s0013-7952(02)00200-4

Cited by 125 publications

(66 citation statements)

References 10 publications

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“…However, a number of other issues influence the choice of the best monitoring system to use: the size of the area to control, the frequency of data acquisition, the time to deliver the results (alert time), the stability of the reference system, the influence of atmospheric parameters on measurement accuracy or operation, the site constraints, etc. Photogrammetry has been used since long time to periodically control the evolution of landslides, either from aerial images (Casson, et al, 2003), as well as from ground (Cardenal, et al, 2008); in (Mora, et al, 2003) the same technique has been used in combination with GPS surveys on the landslide body. In the same context, one of the most promising techniques that are rapidly spreading in many applications are UASs (Unmanned Aerial Systems).…”

Section: Introductionmentioning

confidence: 99%

Use of Uas in a High Mountain Landscape: The Case of Gran Sommetta Rock Glacier (Ao)

Dall’Asta¹,

Delaloye²,

Diotri³

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VI, WG VI/4KEY WORDS: UAS, Rock Glacier, Monitoring, Hazard, Automation ABSTRACT:Photogrammetry has been used since long time to periodically control the evolution of landslides, either from aerial images as well as from ground. Landslides control and monitoring systems face a large variety of cases and situations: in hardly accessible environments, like glacial areas and high mountain locations, it is not simple finding a survey method and a measurement control system, which are capable to reliably assess, with low costs, the expected displacement and its accuracy. For this reason, the behaviour of these events presents the geologists and the surveyor each time with different challenges. The use of UAS (Unmanned Aerial System) represents, in this context, a recent and valid option to perform the data acquisition both in safety and quickly, avoiding hazards and risks for the operators while at the same time containing the costs. The paper presents an innovative monitoring system based on UAS-photogrammetry, GNSS survey and DSM change detection techniques to evaluate the Gran Sommetta rock glacier surface movements over the period 2012-2014. Since 2012, the surface movements of the glacier are monitored by ARPAVdA (a regional environmental protection agency) as a case study for the impact of climate change on high-mountain infrastructures. In such scenarios, in fact, a low-cost monitoring activity can provide important data to improve our knowledge about glacier dynamics connected to climate changes and to prevent risks in anthropic Alps areas. To evaluate the displacements of the rock glacier different techniques were proposed: the most reliable uses the orthophoto of the area and rely on a manual identification of corresponding features performed by a trained operator. To further limit the costs and improve the density of displacement information two automatic procedures were developed as well.

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Section: Introductionmentioning

confidence: 99%

Use of Uas in a High Mountain Landscape: The Case of Gran Sommetta Rock Glacier (Ao)

Dall’Asta¹,

Delaloye²,

Diotri³

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…A simple uniform stratigraphy is used for the calculation. The La Fossa cone is assumed to be composed by a lithology only, i.e., tuffs, with a mean density of 1,900 kg/m 3 . A repose angle of 35° and no cohesion are considered.…”

Section: Discussionmentioning

confidence: 99%

“…The geomorphological changes of areas affected by crustal deformation, eruptive events, gravitative instabilities, landslide and glacier evolution and other phenomena can be detected and quantified by means of the comparison between multi-temporal models providing a space-time description of geophysical processes [1][2][3][4][5][6]. Several techniques, including global positioning system (GPS) static and kinematic methodology [7], digital aerial and terrestrial photogrammetry [8], airborne and terrestrial laser scanning [9], satellite-based and ground-based interferometric radar [10] and optical satellite imagery systems [11], are suitable surveying methods that provide appropriate spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing and Geodetic Measurements for Volcanic Slope Monitoring: Surface Variations Measured at Northern Flank of La Fossa Cone (Vulcano Island, Italy)

et al. 2013

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Abstract:Results of recent monitoring activities on potentially unstable areas of the NW volcano flank of La Fossa cone (Vulcano Island, Italy) are shown here. They are obtained by integration of data by aerial photogrammetry, terrestrial laser scanning (TLS) and GPS taken in the 1996-2011 time span. A comparison between multi-temporal models built from remote sensing data (photogrammetry and TLS) highlights areas characterized by ~7-10 cm/y positive differences (i.e., elevation increase) in the upper crown of the slope. The GPS measurements confirm these results. Areas characterized by negative differences, related to both mass collapses or small surface lowering, also exist. The higher differences, positive and negative, are always observed in zones affected by higher fumarolic activity. In the 2010-2012 time span, ground motions in the northern part of the crater rim, immediately above the upper part of observed area, are also observed. The results show different trends for both vertical and horizontal displacements of points distributed along the rim, with a magnitude of some centimeters, thus revealing a complex kinematics. A slope stability analysis shows that the safety factors estimated from these data do not

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“…Previous studies used displacement maps and differential DEMs derived from optical remote sensing data to monitor landslide activity (Powers et al, 1996;Kääb, 2002;Mora et al, 2003;Van Westen and Lulie Getahun, 2003;Delacourt et al, 2004). Nevertheless, these data can also be used to characterise qualitatively the geometry of landslide slip surface (Hutchinson, 1983;Bishop, 1999).…”

Section: Methodsmentioning

confidence: 99%

Contribution of multi-temporal remote sensing images to characterize landslide slip surface ‒ Application to the La Clapière landslide (France)

Casson

Delacourt

Allemand

2005

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslide activity is partly controlled by the geometry of the slip surface. This activity is traduced at the surface by displacements and topographic variations. Consequently, multi-temporal remote sensing images can be used in order to characterize the geometry of landslide slip surface and its spatial and temporal evolution. Differential Digital Elevation Models (DEMs) are obtained by subtracting two DEMs of different years. A method of multi-temporal images correlation allows to generate displacement maps that can be interpreted in terms of velocity and direction of movements. These data are then used to characterize qualitatively the geometry of the slip surface of the la Clapière landslide (French Southern Alps). Distribution of displacement vectors and of topographic variations are in accordance with a curved slip surface, characterizing a preferential rotational behaviour of this landslide. On the other hand, a spatial and temporal evolution of the geometry of the slip surface is pointed out. Indeed, a propagation of the slip surface under the Iglière bar, in the W part of the landslide, is suspected and can be linked to the acceleration of the landslide in 1987. This study shows the high potential of multi-temporal remote sensing images for slip surface characterization. Although this method could not replace in situ investigations, it can really help to well distribute geophysical profiles or boreholes on unstable areas.

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Global Positioning Systems and digital photogrammetry for the monitoring of mass movements: application to the Ca' di Malta landslide (northern Apennines, Italy)

Cited by 125 publications

References 10 publications

Use of Uas in a High Mountain Landscape: The Case of Gran Sommetta Rock Glacier (Ao)

Use of Uas in a High Mountain Landscape: The Case of Gran Sommetta Rock Glacier (Ao)

Remote Sensing and Geodetic Measurements for Volcanic Slope Monitoring: Surface Variations Measured at Northern Flank of La Fossa Cone (Vulcano Island, Italy)

Contribution of multi-temporal remote sensing images to characterize landslide slip surface ‒ Application to the La Clapière landslide (France)

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