Landslide characterisation in Canada using interferometric SAR and combined SAR and TM images

Singhroy, V.; Mattar, Karim E.; Gray, Alistair

doi:10.1016/s0273-1177(97)00882-x

Cited by 128 publications

(38 citation statements)

References 10 publications

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“…Phase values of a single SAR image is partly depends on the sensor-target distance and is the key element to detect ground displacement. SAR Interferometry is the technique focused on the measure changes of signal phase over time through the analysis of at least two SAR images (Fruneau et al, 1996;Singhroy et al, 1998). A suitable approach to exploit phase variation between two consecutive radar images acquired over the same target is the Differential Interferometric SAR (D-InSAR) (Bamler and Hartl, 1998;Rosen et al, 2000).…”

Section: Sar Datamentioning

confidence: 99%

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Casagli

Frodella

Morelli

et al. 2017

Geoenviron Disasters

253

146

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Background: The current availability of advanced remote sensing technologies in the field of landslide analysis allows for rapid and easily updatable data acquisitions, improving the traditional capabilities of detection, mapping and monitoring, as well as optimizing fieldwork and investigating hazardous or inaccessible areas, while granting at the same time the safety of the operators. Among Earth Observation (EO) techniques in the last decades optical Very High Resolution (VHR) and Synthetic Aperture Radar (SAR) imagery represent very effective tools for these implementations, since very high spatial resolution can be obtained by means of optical systems, and by the new generations of sensors designed for interferometric applications. Although these spaceborne platforms have revisiting times of few days they still cannot match the spatial detail or time resolution achievable by means of Unmanned Aerial Vehicles (UAV) Digital Photogrammetry (DP), and ground-based devices, such as Ground-Based Interferometric SAR (GB-InSAR), Terrestrial Laser Scanning (TLS) and InfraRed Thermography (IRT), which in the recent years have undergone a significant increase of usage, thanks to their technological development and data quality improvement, fast measurement and processing times, portability and cost-effectiveness. In this paper the potential of the abovementioned techniques and the effectiveness of their synergic use is explored in the field of landslide analysis by analyzing various case studies, characterized by different slope instability processes, spatial scales and risk management phases. Results: Spaceborne optical Very High Resolution (VHR) and SAR data were applied at a basin scale for analysing shallow rapid-moving and slow-moving landslides in the emergency management and post-disaster phases, demonstrating their effectiveness for post-disaster damage assessment, landslide detection and rapid mapping, the definition of states of activity and updating of landslide inventory maps. The potential of UAV-DP for very high resolution periodical checks of instability phenomena was explored at a slope-scale in a selected test site; two shallow landslides were detected and characterized, in terms of areal extension, volume and temporal evolution. The combined use of GB-InSAR, TLS and IRT ground based methods, was applied for the surveying, monitoring and characterization of rock slides, unstable cliffs and translational slides. These applications were evaluated in the framework of successful rapid risk scenario evaluation, long term monitoring and emergency management activities. All of the results were validated by means of field surveying activities.

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Section: Sar Datamentioning

confidence: 99%

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Casagli

Frodella

Morelli

et al. 2017

Geoenviron Disasters

253

146

View full text Add to dashboard Cite

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“…Techniques of positioning on various time and space scales have made a lot of progress in the last decade, in particular in the field of geomorphological mapping, or in the realization of Digital Elevation Model (DEM) by numerical photogrammetry (Girault, 1992;Miyazawa et al, 2000;Weber and Herrmann, 2000), radar interferometry (Fruneau et al, 1996;Mohr et al, 1998;Singhroy, 1998;Kimura and Yamaguchi, 2000) or by Global Positioning System (Fix and Burt, 1995;Higgitt and Warburton, 1999). These new technologies present attractive and quick solutions, usable in any type of morphological configuration and provide data easily integrable in a Geographical Information System (GIS) format, with resolutions between tens of metres to centimetres.…”

Section: Introductionmentioning

confidence: 99%

The use of Global Positioning System techniques for the continuous monitoring of landslides: application to the Super-Sauze earthflow (Alpes-de-Haute-Provence, France)

2002

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“…Each SAR image is composed of pixels characterized by a value of amplitude and phase. The latter can be used to measure ground displacement using at least two SAR images [43,44]. The multi-temporal interferometric techniques (MIT) are based on the analysis of a stack of coregistered SAR imagery [45] processed by means of different algorithms (e.g., Permanent Scatterers Interferometry, PSInSAR [46][47][48]).…”

Section: Proximal and Distal Remote Sensingmentioning

confidence: 99%

Augmented Virtuality for Coastal Management: A Holistic Use of In Situ and Remote Sensing for Large Scale Definition of Coastal Dynamics

Bartolini

Mecocci

Pozzebon

et al. 2018

IJGI

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Abstract:In this paper, the authors describe the architecture of a multidisciplinary data acquisition and visualization platform devoted to the management of coastal environments. The platform integrates heterogeneous data acquisition sub-systems that can be roughly divided into two main categories: remote sensing systems and in situ sensing systems. Remote sensing solutions that are going to be implemented include aerial and underwater data acquisition while in situ sensing solutions include the use of Radio Frequency IDentification (RFID) tracers, Wireless Sensor Networks and imaging techniques. All the data collected by these subsystems are stored, integrated and fused on a single platform that is also in charge of data visualization and analysis. This last task is carried out according to the paradigm of Augmented Virtuality that foresees the augmentation of a virtually reconstructed environment with data collected in the real world. The described solution proposes a novel holistic approach where different disciplines concur, with different data acquisition techniques, to a large scale definition of coastal dynamics, in order to better describe and face the coastal erosion phenomenon. The overall framework has been conceived by the so-called Team COSTE, a joint research team between the Universities of Pisa, Siena and Florence.

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Landslide characterisation in Canada using interferometric SAR and combined SAR and TM images

Cited by 128 publications

References 10 publications

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

The use of Global Positioning System techniques for the continuous monitoring of landslides: application to the Super-Sauze earthflow (Alpes-de-Haute-Provence, France)

Augmented Virtuality for Coastal Management: A Holistic Use of In Situ and Remote Sensing for Large Scale Definition of Coastal Dynamics

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