Landslide characterisation in Canada using interferometric SAR and combined SAR and TM images
References (23)
- et al.
Airborne SAR and Landsat MSS as Complementary Information Source for Geological Hazard Mapping
ISPRS Journal of Photogrammetry and Remote Sensing
(1993) SAR Integrated Techniques for Geohazard Assessment
Advances in Space Research
(1995)Remote Sensing Analysis of the Chelsea Landslide
- et al.
Landslide and Settlement Problems in Senitive Marine Clay, Ottawa Valley
- et al.
The Rockslide and Debris Flow from Mount Cayley, B.C. in June 1994
Can. Geotechnical Journal
(1992) - et al.
Geology and engineering phenomena of Champlain Sea clays
Lithofacies of Leda clay in the Ottawa Basin of Champlian Sea
Geological Survey of Canada
(1986)- et al.
Micro-scale modeling of terrain susceptibility to landsliding from a DEM: A GIS approach
Geocarto International
(December, 1995) Synthetic Interferometer for Topographic Mapping
- et al.
Airborne SAR interferometry for terrain elevation
International Geoscience and Remote Sensing Digest
(1992)
Repeat-pass interferometry with airborne synthetic aperture radar
IEEE Trans. Geosci. Remote Sensing
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Time and path prediction of landslides using InSAR and flow model
2022, Remote Sensing of EnvironmentExploring event landslide mapping using Sentinel-1 SAR backscatter products
2022, GeomorphologyCitation Excerpt :They claimed, however, characterisation and mapping require high resolution imagery, particularly referring to SAR data. Singhroy et al. (1998) repeated the experiment in the Lower Fraser Valley, Canada, using a number of 18 m–26 m (Range) × 27 m (Azimuth) resolution C-band spaceborne RADARSAT SAR images with different viewing geometry. They concluded that RADARSAT incidence angles ranging from 40° to 59° were suitable to map block slide scarps and transverse ridges, associated with rock slumps and faults.
Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura earthquake (Mw 7.8), New Zealand
2021, Remote Sensing of EnvironmentCitation Excerpt :Using both optical and radar satellite images for landslide detection is quite rare and so far has been presented in only a handful of published studies. The first recorded paper referring to the usage of optical and radar data together was an identification of a landslide's diagnostic features and slope characteristics in Canada using Landsat TM and RADARSAT data (Singhroy et al., 1998). Later Mwaniki et al. (2017) used Sentinel-1 SAR data together with Landsat 8 optical imagery in order to map landslides in central Kenya.
Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
2021, Earth-Science ReviewsCitation Excerpt :Illumination issues are a consequence of the side-looking geometry typical of SAR systems (Meyer, 2019), and consist of shadows, foreshort and layover (Fig. 3B). Only a few authors assessed or considered the impact of geometric distortions on their analyses (Singhroy et al., 1998; Balz and Liao, 2010; Watanabe et al., 2012; Konishi and Suga, 2017; Liu et al., 2018; Mondini et al., 2019; Adriano et al., 2020; Goorabi, 2020; Tzouvaras et al., 2020), and others excluded from the analyses (i.e., masked) the areas affected by shadows or in layover (Chorowicz et al., 1998; Li et al., 2014a, 2014b; Mondini, 2017; Tessari et al., 2017; Konishi and Suga, 2018a; Burrows et al., 2020; Esposito et al., 2020; Jung and Yun, 2020; Ohki et al., 2020). To mitigate geometric distortions distortions, Aimaiti et al. (2019) used images taken along ascending and descending orbits, whereas Luo et al. (2016), for their change detection approach, considered irrelevant the geometric distortions.
An Assessment of Earthquake-Induced Landslides Distribution in Nepal Using Open-Source Applications on Sentinel-1 Tops SAR Imagery
2023, International Journal of Design and Nature and EcodynamicsA Joint Seismic and Space-Based Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides
2023, Journal of Geophysical Research: Earth Surface