Sentinel -1B Preliminary Results Obtained During the Orbit Acquisition Phase [Work in Progress]

Miranda, Nuno; Meadows, Peter; Pilgrim, Alan; Piantanida, Riccardo; Recchia, Andrea; Giudici, Davide; Small, David; Schubert, Adrian

doi:10.1016/j.procs.2016.09.247

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…In Dübendorf, a similar arrangement was organised, using 1.2 m and 1.0 m reflectors (Figure 1b). The first geolocation tests during S-1B commissioning were promising [18], with the lessons and methods implemented since S-1A's commissioning having been already applied.…”

Section: Swiss Test Sitesmentioning

confidence: 99%

Sentinel-1A/B Combined Product Geolocation Accuracy

et al. 2017

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Sentinel-1A and -1B are twin spaceborne synthetic aperture radar (SAR) sensors developed and operated by the European Space Agency under the auspices of the Copernicus Earth observation programme. Launched in April 2014 and April 2016, Sentinel-1A and -1B are currently operating in tandem, in a common orbital configuration to provide an increased revisit frequency. In-orbit commissioning was completed for each unit within months of their respective launches, and level-1 SAR products generated by the operational SAR processor have been geometrically calibrated. In order to compare and monitor the geometric characteristics of the level-1 products from both units, as well as to investigate potential improvements, products from both satellites have been monitored since their respective commissioning phases. In this study, we present geolocation accuracy estimates for both Sentinel-1 units based on the time series of level-1 products collected thus far. While both units were demonstrated to be performing consistently, and providing SAR data products according to the nominal product specifications, a subtle beam-and mode-dependent azimuth bias common to the data from both units was identified. A method for removing the bias is proposed, and the corresponding improvement to the geometric accuracies is demonstrated and quantified.

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Section: Swiss Test Sitesmentioning

confidence: 99%

Sentinel-1A/B Combined Product Geolocation Accuracy

et al. 2017

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“…On April 3, 2014, the Sentinel-1A (S-1A) sensor, which is the first of a family of satellites designed to provide C-Band (∼5.5-cm wavelength) SAR data collected in continuity with the first generation ERS-1/2 and ENVISAT SAR missions, was launched by the European Space Agency [46], followed on April 25, 2016 by the launch of Sentinel-1B (S-1B). The S-1 constellation, developed within the European Copernicus Programme, is the fulfillment of the abovementioned DInSAR evolution because, on land, this system is primarily devoted to interferometric applications [47]; moreover, it is intrinsically characterized by small spatial and temporal baselines [48], [49], naturally fitting the SBAS approach rationale. Finally, the Sentinel-1 data are managed according to a free and open access policy, which allows broadening the dissemination and exploitation of the advanced DInSAR methodologies, as for the case of the SBAS approach and of the subsequently developed SBAS-based DInSAR methods and tools [50], [51].…”

Section: Introductionmentioning

confidence: 99%

The Parallel SBAS Approach for Sentinel-1 Interferometric Wide Swath Deformation Time-Series Generation: Algorithm Description and Products Quality Assessment

Manunta

Luca

Zinno

et al. 2019

IEEE Trans. Geosci. Remote Sensing

140

119

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We present an advanced differential synthetic aperture radar (SAR) interferometry (DInSAR) processing chain, based on the Parallel Small BAseline Subset (P-SBAS) technique, for the efficient generation of deformation time series from Sentinel-1 (S-1) interferometric wide (IW) swath SAR data sets. We first discuss an effective solution for the generation of high-quality interferograms, which properly accounts for the peculiarities of the terrain observation with progressive scans (TOPS) acquisition mode used to collect S-1 IW SAR data. These data characteristics are also properly accounted within the developed processing chain, taking full advantage from the burst partitioning. Indeed, such data structure represents a key element in the proposed P-SBAS implementation of the S-1 IW processing chain, whose migration into a cloud computing (CC) environment is also envisaged. An extensive experimental analysis, which allows us to assess the quality of the obtained interferometric products, is presented. To do this, we apply the developed S-1 IW P-SBAS processing chain to the overall archive acquired from descending orbits during the March 2015-April 2017 time span over the whole Italian territory, consisting in 2740 S-1 slices. In particular, the quality of the final results is assessed through a large-scale comparison with the GPS measurements relevant to nearly 500 stations. The mean standard deviation value of the differences between the DInSAR and the GPS time series (projected in the radar line of sight) is less than 0.5 cm, thus

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“…Well-calibrated SAR data are required to compare with SAR data from different sensors and extract the geophysical parameters. Sentinel-1B instrument calibration stability was confirmed during the commissioning phase after extensive ground measurements and calibration campaigns [2, 3]. The German Aerospace Centre (DLR) also performed an independent system calibration in 2016 and confirmed the good performance of the system [4].…”

Section: Introductionmentioning

confidence: 97%

Radiometric calibration stability assessment of Sentinel-1B using point targets at Surat Basin, Australia

Badatala

Sharma

Tripathi

et al. 2022

Int. J. Microw. Wireless Technol.

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The launch of the Sentinel-1B satellite in April 2016 completed the two-satellite synthetic aperture radar (SAR) constellation of the European Copernicus Sentinel-1 mission. The European Space Agency executed the calibration of this sensor during the commissioning phase and an independent calibration by the German Aerospace Center (DLR) in 2016. The calibration parameters must be monitored to assess the stability of the instrument. This study reports the temporal stability assessment of radiometric calibration and image quality parameters of Sentinel-1B SAR data using the corner reflector (CR) array, Surat Basin, Australia. Impulse response functions generated from the CRs in the satellite images were used to derive the image quality parameters. The average radar cross-section difference between estimated and theoretical values (38.40 dB m2) was 0.53 dB m2 for 1.5 m CRs, which is accordant with the absolute radiometric accuracy specified for the Sentinel-1 SAR system. Derived image quality parameters viz. the mean peak-to-side lobe ratio, mean integrated side lobe ratio, and spatial resolutions in the range and azimuth directions were found to be accordant with the specified value for the Sentinel-1 SAR system. The results indicate the excellent quality of the Sentinel-1B data.

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Sentinel -1B Preliminary Results Obtained During the Orbit Acquisition Phase [Work in Progress]

Cited by 6 publications

References 2 publications

Sentinel-1A/B Combined Product Geolocation Accuracy

Sentinel-1A/B Combined Product Geolocation Accuracy

The Parallel SBAS Approach for Sentinel-1 Interferometric Wide Swath Deformation Time-Series Generation: Algorithm Description and Products Quality Assessment

Radiometric calibration stability assessment of Sentinel-1B using point targets at Surat Basin, Australia

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