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InSAR Monitoring of Landslides in Canada
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008In this study we used differential and CTM InSAR techniques to monitor landslide slides at different geological sites in Canada. Our results show that InSAR measurements are providing new information on the deformation behaviour of complex landslide processes.
Vern Singhroy +3 more
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Insar Monitoring of Pipeline Routes
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018In this study, we discuss the use of InSAR-SBAS deformation time-series analysis as part of an early warning technique to monitor the safety of oil pipelines on different terrains. We focus on an oil spill in a wetland area and identify potential risks along a new pipeline route. We analyzed 153 RADARSAT 2 InSAR images for both sites.
Vernon H. Singhroy +3 more
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Temporary targets for Arctic InSAR
2014 IEEE Geoscience and Remote Sensing Symposium, 2014The Arctic environment offers the biggest challenge for In-SAR; huge seasonal change, ice and snow cover for much of the year, and large variations in soil moisture. Yet the Arctic is often seen as a barometer for climate change and therefore being able to exploit technologies such as InSAR provides invaluable information not only for the communities ...
Jon Leighton +3 more
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Influence of hydrometeors on InSAR observations
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004Repeat-pass synthetic aperture radar interferometry is an important tool for measuring Earth surface topography and/or surface deformations. These observations, however, are highly affected by the atmosphere. Therefore, an accurate description of atmospheric distortions is very important to improve an accuracy of interferometric measurements.
Dmitri Moisseev, Ramon F. Hanssen
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2016 IEEE International Conference on Image Processing (ICIP), 2016
This paper investigates different multi-scale approaches in terms of feature extraction for classification of interfero-metric SAR (InSAR) and previously defined phase gradient InSAR (PGInSAR) images. For this purpose, the scale-space image representation approach is implemented together with the two partial derivative based structure matrices, namely ...
Cagatay, Nazli Deniz, Datcu, Mihai
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This paper investigates different multi-scale approaches in terms of feature extraction for classification of interfero-metric SAR (InSAR) and previously defined phase gradient InSAR (PGInSAR) images. For this purpose, the scale-space image representation approach is implemented together with the two partial derivative based structure matrices, namely ...
Cagatay, Nazli Deniz, Datcu, Mihai
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EZ-InSAR-3: an open-source InSAR environment in Python
In geosciences, geodesy and geotechnical engineering, Interferometric Synthetic Aperture Radar (InSAR) has demonstrated its ability to estimate, at millimetre scale, displacements of the Earth's ground surface. Although open-source SAR/InSAR software packages are robust, they are often not user-friendly, as users must have in-depth knowledge of SAR ...Alexis Hrysiewicz, Eoghan Holohan
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Monitoring Geological Hazards with InSAR
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Tianming Shao +4 more
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IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Lan-Wei Wang +7 more
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Lan-Wei Wang +7 more
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