GMES Sentinel-1 mission

Torres, Ramón; Snoeij, P.; Geudtner, Dirk; Bibby, David; Davidson, Malcolm; Attema, E.; Potin, Pierre; Rommen, Björn; Floury, Nicolas; Brown, Mike; Traver, Ignacio Navas; Deghaye, Patrick; Duesmann, Berthyl; Rosich, Betlem; Miranda, Nuno; Bruno, Claudio; L’Abbate, Michelangelo; Croci, R.; Pietropaolo, Andrea; Huchler, Markus; Rostan, F.

doi:10.1016/j.rse.2011.05.028

Cited by 1,453 publications

(946 citation statements)

References 3 publications

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“…To extend, and fully validate, our prediction models, we count on gaining access, in the near future, to data gathered by a network of GPS that are currently being deployed in Lingang New City, and to make use of the archives of newly-acquired SAR data collected by the European Sentinel-1A/-1B C-band SAR sensors of the Copernicus program [76]. In fact, at the time of this investigation, Sentinel-1 archives relevant to the area under investigation were not sufficiently populated (less than 20 scenes) to allow the generation of reliable and steady displacement time-series.…”

Section: Discussionmentioning

confidence: 99%

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

et al. 2016

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Abstract:In this work, we investigate the temporal evolution of ground deformation affecting the ocean-reclaimed lands of the Shanghai (China) megacity, from 2007 to 2016, by applying the Differential Synthetic Aperture Radar Interferometry (DInSAR) technique known as the Small BAseline Subset (SBAS) algorithm. For the analysis, we exploited two sets of non-time-overlapped synthetic aperture radar (SAR) data, acquired from 2007 to 2010, by the ASAR/ENVISAT (C-band) instrument, and from 2014 to 2016 by the X-band COSMO-SkyMed (CSK) sensors. The long time gap (of about three years) existing between the available C-and X-band datasets made the generation of unique displacement time-series more difficult. Nonetheless, this problem was successfully solved by benefiting from knowledge of time-dependent geotechnical models, which describe the temporal evolution of the expected deformation affecting Shanghai's ocean-reclaimed platforms. The combined ENVISAT/CSK (vertical) deformation time-series were analyzed to gain insight into the future evolution of displacement signals within the investigated area. As an outcome, we find that ocean-reclaimed lands in Shanghai experienced, between 2007 and 2016, average cumulative (vertical) displacements extending down to 25 centimeters.

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Section: Discussionmentioning

confidence: 99%

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

et al. 2016

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“…Since the repeat intervals of most satellites are daily to monthly [46], it is feasible to acquire pre-and post-disaster satellite images that are helpful for quickly identifying damages. In addition, the Terra/ASTER [47], ALOS [48], ALOS-2 [49], and Sentinel-1 [50] satellites can respond to urgent requests for observations from emergency response teams. Moreover, although observation frequency could be a trade-off to spatial resolution, constellation satellites, such as RapidEye [51], COSMO-SkyMed [52], Pléiades system [53], and Sentinel system [50], breaks through the trade-off by using temporally-shifted satellites with identical specifications in the coplanar orbits [54].…”

Section: Earth Observationmentioning

confidence: 99%

“…In addition, the Terra/ASTER [47], ALOS [48], ALOS-2 [49], and Sentinel-1 [50] satellites can respond to urgent requests for observations from emergency response teams. Moreover, although observation frequency could be a trade-off to spatial resolution, constellation satellites, such as RapidEye [51], COSMO-SkyMed [52], Pléiades system [53], and Sentinel system [50], breaks through the trade-off by using temporally-shifted satellites with identical specifications in the coplanar orbits [54]. Since changes in detection between pre-and post-disaster are the most effective and efficient methods for identifying hazard damages from satellite imagery [55,56], there is a potential need for baseline satellite images that cover disaster-prone areas, which can enable better preparedness.…”

Section: Earth Observationmentioning

confidence: 99%

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

Miyazaki

Nagai

Shibasaki

2015

IJGI

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Due to the fact that geospatial information technology is considered necessary for disaster risk management (DRM), the need for more effective collaborations between providers and end users in data delivery is increasing. This paper reviews the following: (i) schemes of disaster risk management and collaborative data operation in DRM; (ii) geospatial information technology in terms of applications to the schemes reviewed; and (iii) ongoing practices of collaborative data delivery with the schemes reviewed. This paper concludes by discussing the future of collaborative data delivery and the progress of the technologies.

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“…The Copernicus Sentinel-1 constellation brings a paradigm shift to the field of InSAR, with its operational characteristics: mission configuration, acquisition planning, and data distribution policy [1]. The objective of the ESA SEOM IN-SARAP project is to perform a qualitative and quantitative evaluation of the S1 constellation for interferometric analysis.…”

Section: Introductionmentioning

confidence: 99%

The Sentinel-1 constellation for InSAR applications: Experiences from the InSARAP project

Larsen

Marinkovic²,

Dehls

et al. 2017

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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The two-satellite Copernicus Sentinel-1 (S1) constellation became operational in Sep 2016, with the successful in-orbit commissioning of the S1B unit. During, the commissioning phase and early operational phase it has been confirmed that the interferometric performance of the constellation is excellent, with no observed phase anomalies. In this work, we show an analysis of selected performance parameters for the S1 constellation, as well as selected results based on the available data from the first months of operations.

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GMES Sentinel-1 mission

Cited by 1,453 publications

References 3 publications

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

The Sentinel-1 constellation for InSAR applications: Experiences from the InSARAP project

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