The Sentinel-1 mission and its application capabilities

Torres, Ramón; Snoeij, P.; Davidson, Malcolm; Bibby, David; Lokas, Svein

doi:10.1109/igarss.2012.6351196

Cited by 27 publications

(21 citation statements)

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“…Sentinel-1 was launched on 3 April 2014 (www.esa.int/copernicus). It has four operational modes, namely (i) Strip Map (SM) mode with 5 × 5 m spatial resolution and a 80 km swath, (ii) Interferometric Wide Swath (IW) mode with 5 × 20 m spatial resolution and a 250 km swath, (iii) Extra Wide Swath (EW) mode with 25 × 100 m spatial resolution and a 400 km swath, and (iv) Wave (WV) mode with 5 × 20 m resolution and a low data rate (20 × 20 km images along the orbit every 100 km) [52,53]. Sentinel-1 contains single polarization (VV or HH) for the Wave mode and dual polarization (VV + VH or HH + HV) for all other modes [54].…”

Section: Data Characteristicsmentioning

confidence: 99%

Orogenic Gold in Transpression and Transtension Zones: Field and Remote Sensing Studies of the Barramiya–Mueilha Sector, Egypt

et al. 2019

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Multi-sensor satellite imagery data promote fast, cost-efficient regional geological mapping that constantly forms a criterion for successful gold exploration programs in harsh and inaccessible regions. The Barramiya–Mueilha sector in the Central Eastern Desert of Egypt contains several occurrences of shear/fault-associated gold-bearing quartz veins with consistently simple mineralogy and narrow hydrothermal alteration haloes. Gold-quartz veins and zones of carbonate alteration and listvenitization are widespread along the ENE–WSW Barramiya–Um Salatit and Dungash–Mueilha shear belts. These belts are characterized by heterogeneous shear fabrics and asymmetrical or overturned folds. Sentinel-1, Phased Array type L-band Synthetic Aperture Radar (PALSAR), Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER), and Sentinel-2 are used herein to explicate the regional structural control of gold mineralization in the Barramiya–Mueilha sector. Feature-oriented Principal Components Selection (FPCS) applied to polarized backscatter ratio images of Sentinel-1 and PALSAR datasets show appreciable capability in tracing along the strike of regional structures and identification of potential dilation loci. The principal component analysis (PCA), band combination and band ratioing techniques are applied to the multispectral ASTER and Sentinel-2 datasets for lithological and hydrothermal alteration mapping. Ophiolites, island arc rocks, and Fe-oxides/hydroxides (ferrugination) and carbonate alteration zones are discriminated by using the PCA technique. Results of the band ratioing technique showed gossan, carbonate, and hydroxyl mineral assemblages in ductile shear zones, whereas irregular ferrugination zones are locally identified in the brittle shear zones. Gold occurrences are confined to major zones of fold superimposition and transpression along flexural planes in the foliated ophiolite-island arc belts. In the granitoid-gabbroid terranes, gold-quartz veins are rather controlled by fault and brittle shear zones. The uneven distribution of gold occurrences coupled with the variable recrystallization of the auriferous quartz veins suggests multistage gold mineralization in the area. Analysis of the host structures assessed by the remote sensing results denotes vein formation spanning the time–space from early transpression to late orogen collapse during the protracted tectonic evolution of the belt.

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Section: Data Characteristicsmentioning

confidence: 99%

Orogenic Gold in Transpression and Transtension Zones: Field and Remote Sensing Studies of the Barramiya–Mueilha Sector, Egypt

et al. 2019

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Section: Sentinel-1amentioning

confidence: 99%

“…Sentinel-1A, a carryon satellite following the ERS-1/2 and Envisat mission, is the first satellite from the Global Monitoring for Environment and Security (GMES) space component program, which was launched on 03 April 2014 by the European Space Agency (ESA) [16][17][18][19]. Sentinel-1A operates in a near polar and sun-synchronous orbit which is about 693 km above the ground [18,19] and has a repeat cycle of 12 days [20]. With a primary payload, the C-band terrain observation with progressive scans SAR (TOPSAR) [21] onboard, the primary scientific objective of Sentinel-1A is to observe ice changes in Arctic and Antarctic coastal regions as well as to monitor land changes, vessel, and oil spill in coastal regions [13,[17][18][19]22].…”

Section: Sentinel-1amentioning

confidence: 99%

“…Sentinel-1A operates in a near polar and sun-synchronous orbit which is about 693 km above the ground [18,19] and has a repeat cycle of 12 days [20]. With a primary payload, the C-band terrain observation with progressive scans SAR (TOPSAR) [21] onboard, the primary scientific objective of Sentinel-1A is to observe ice changes in Arctic and Antarctic coastal regions as well as to monitor land changes, vessel, and oil spill in coastal regions [13,[17][18][19]22]. Because Sentinel-1A is a C-band right-looking SAR, it has an advantage of observing the Earth in almost all weather conditions.…”

Section: Sentinel-1amentioning

confidence: 99%

“…Sentinel-1A has the capability to collect measurements with dual (VV + VH or HH + HV) and single polarization (HH or VV) over global land or oceans. It adopts four different observation modes: interferometric wide (IW) swath mode, extra wide (EW) swath mode, strip map (SM) mode, and wave mode (WM) to monitor Earth changes at resolutions of 5 m × 20 m, 20 m × 40 m, 5 m × 5 m, and 5 m × 20 m respectively [18,19]. The four different observation modes are adopted according to different ground segments, which is subject to being changed from time to time.…”

Section: Sentinel-1amentioning

confidence: 99%

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An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica

Wang¹,

Holland

2020

Remote Sensing

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The Sentinel-1A satellite was launched in April 2014 with a primary C-Band terrain observation with progressive scans synthetic aperture radar (TOPSAR) onboard and has collected plenty of high-quality images for global change studies. However, low magnitude signals around image margins (black margins) does not preserve the normal standard level, influencing the potential usage with these data. Through image analysis, we find that the signal from black margin (BM) is highly dominated by the closest effective signals and the signal in BM shows an increasing trend along the direction from image boundary to image center. An edge detector is developed based on the signal characteristics of BM. Furthermore, an automatic method to discriminate and eliminate BM is designed. Images from both extra wide (EW) and interferometric wide (IW) swath observation modes, covering the land, ocean, and coast of the Antarctic, are taken to verify the robustness of our method. Through comparison with BM edges extracted by human interpretation, our method has the maximum BM edge extraction error of 1.9 ± 3.2 pixels. When considering perimeter (or area) difference along radial direction of BM edge, our method has an averaging extraction accuracy of −0.35 ± 0.11 (or 0.14 ± 1.38) pixels, which suggests that our method is effective and can be potentially used to eliminate BM for multidisciplinary applications of Sentinel-1 data.

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Multi‐Frequency SAR Applications for Land Cover Classification Within Copernicus Downstream Services

Spies

Lamb

Balzter

2017

Earth Observation for Land and Emergency Monitoring

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The Sentinel-1 mission and its application capabilities

Cited by 27 publications

References 0 publications

Orogenic Gold in Transpression and Transtension Zones: Field and Remote Sensing Studies of the Barramiya–Mueilha Sector, Egypt

Orogenic Gold in Transpression and Transtension Zones: Field and Remote Sensing Studies of the Barramiya–Mueilha Sector, Egypt

An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica

Multi‐Frequency SAR Applications for Land Cover Classification Within Copernicus Downstream Services

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