Sentinel-1 System capabilities and applications

Geudtner, Dirk; Torres, Ramón; Snoeij, P.; Davidson, Malcolm; Rommen, Björn

doi:10.1109/igarss.2014.6946711

Cited by 197 publications

(154 citation statements)

References 2 publications

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“…For the racetrack, temporal variations in σ˝for VH polarization (roughly´22 and´24 dB at 33a nd 43˝, respectively) are not presented in Figure 2, as they are less than or similar to the Noise Equal Sigma Zero (NESZ) value for S-1A (´22 dB) [8].…”

Section: S-1a Radiometric Stabilitymentioning

confidence: 99%

Analysis of Sentinel-1 Radiometric Stability and Quality for Land Surface Applications

Hajj¹,

Baghdadi²,

Zribi

et al. 2016

Remote Sensing

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Abstract:Land monitoring using temporal series of Synthetic Aperture Radar (SAR) images requires radiometrically well calibrated sensors. In this paper, the radiometric stability of the new SAR Sentinel-1A "S-1A" sensor was first assessed by analyzing temporal variations of the backscattering coefficient (σ˝) returned from invariant targets. Second, the radiometric level of invariant targets was compared from S-1A and Radarsat-2 "RS-2" data. The results show three stable sub-time series of S-1A data. The first (between 1 October 2014 and 19 March 2015) and third (between 25 November 2015 and 1 February 2016) sub-time series have almost the same mean σ˝-values (a difference lower than 0.3 dB). The mean σ˝-value of the second sub-time series (between 19 March 2015 and 25 November 2015) is higher than that of the first and the third sub-time series by roughly 0.9 dB. Moreover, our results show that the stability of each sub-time series is better than 0.48 dB. In addition, the results show that S-1A images of the first and third sub-time series appear to be well calibrated in comparison to RS-2 data, with a difference between S-1A and RS-2 lower than 0.3 dB. However, the S-1A images of the second sub-time series have σ˝-values that are higher than those from RS-2 by roughly 1 dB.

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Section: S-1a Radiometric Stabilitymentioning

confidence: 99%

Analysis of Sentinel-1 Radiometric Stability and Quality for Land Surface Applications

Hajj¹,

Baghdadi²,

Zribi

et al. 2016

Remote Sensing

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“…We used the horizontal transmit and horizontal receive (HH) channel, which preserves better the amplitude features and has also a higher signal-to-noise ratio as compared to the horizontal transmit and vertical receive (HV) channel, making the former better suited for glacier ice motion retrieval. The TOPS acquisition mode improves the performance of already existing SAR imaging algorithms such as ScanSAR mode [7,47]. During a TOPS mode acquisition, the SAR antenna is steered in the azimuth direction from aft to fore with a constant rate.…”

Section: Study Area and Data Sourcesmentioning

confidence: 99%

“…A small co-registration error can produce azimuth phase ramps. This problem is solved by applying a spectral diversity method over the overlapping areas of contiguous bursts [7,8]. This type of SAR acquisition implies the antenna steering from aft to fore during burst acquisition leading to an azimuth variant Doppler centroid [9], which is corrected with a deramping operation of the Doppler spectrum.…”

Section: Introductionmentioning

confidence: 99%

Glacier Surface Velocity Retrieval Using D-InSAR and Offset Tracking Techniques Applied to Ascending and Descending Passes of Sentinel-1 Data for Southern Ellesmere Ice Caps, Canadian Arctic

Sánchez-Gámez

Navarro

2017

Remote Sensing

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Abstract:The Terrain Observation by Progressive Scans (TOPS) acquisition mode of the Sentinel-1 mission provides a wide coverage per acquisition with resolutions of 5 m in range and 20 m in azimuth, which makes this acquisition mode attractive for glacier velocity monitoring. Here, we retrieve surface velocities from the southern Ellesmere Island ice caps (Canadian Arctic) using both offset tracking and Differential Interferometric Synthetic Aperture Radar (D-InSAR) techniques and combining ascending and descending passes. We optimise the offset tracking technique by omitting the azimuth offsets. By doing so, we are able to improve the final resolution of the velocity product, as Sentinel-1 shows a lower resolution in the azimuth direction. Simultaneously, we avoid the undesired ionospheric effect manifested in the data as azimuth streaks. The D-InSAR technique shows its merits when applied to slow-moving areas, while offset tracking is more suitable for fast-moving areas. This research shows that the methods used here are complementary and the use of both to determine glacier velocities is better than only using one or the other. We observe glacier surface velocities of up to 1200 m year −1 for the fastest tidewater glaciers. The land-terminating glaciers show typical velocities between 12 and 33 m year −1 , though with peaks up to 150 m year −1 in narrowing zones of the confining valleys.

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“…The Sentinel-1 SAR instrument operates at 5.405 GHz (C-band, corresponding to a radar wavelength of about 5.6 cm) and supports four exclusive imaging modes providing different resolution and coverage: Interferometric Wide Swath (IW), Extra Wide Swath (EW), StripMap (SM), and Wave (WV) [4]. Table 1 provides the product resolutions and sample spacings for the modes relevant to geometric calibration/validation.…”

Section: Introductionmentioning

confidence: 99%

Sentinel-1A Product Geolocation Accuracy: Commissioning Phase Results

et al. 2015

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Sentinel-1A (S1A) is an Earth observation satellite carrying a state-of-the-art Synthetic Aperture Radar (SAR) imaging instrument. It was launched by the European Space Agency (ESA) on 3 April 2014. With the end of the in-orbit commissioning phase having been completed at the end of September 2014, S1A data products are already consistently providing highly accurate geolocation. StripMap (SM) mode products were acquired regularly and tested for geolocation accuracy and consistency during dedicated corner reflector (CR) campaigns. At the completion of this phase, small geometric inconsistencies had been understood and mitigated, with the high quality of the final product geolocation estimates reflecting the mission's success thus far. This paper describes the measurement campaign, the methods used during geolocation estimation, and presents best estimates of the product Absolute Location Error (ALE) available at the beginning of S1A's operational phase.

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Sentinel-1 System capabilities and applications

Cited by 197 publications

References 2 publications

Analysis of Sentinel-1 Radiometric Stability and Quality for Land Surface Applications

Analysis of Sentinel-1 Radiometric Stability and Quality for Land Surface Applications

Glacier Surface Velocity Retrieval Using D-InSAR and Offset Tracking Techniques Applied to Ascending and Descending Passes of Sentinel-1 Data for Southern Ellesmere Ice Caps, Canadian Arctic

Sentinel-1A Product Geolocation Accuracy: Commissioning Phase Results

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