First-year sea ice spring melt transitions in the Canadian Arctic Archipelago from time-series synthetic aperture radar data, 1992–2002

2007 ◽  
Vol 21 (2) ◽  
pp. 253-265 ◽  
Author(s):  
J. J. Yackel ◽  
D. G. Barber ◽  
T. N. Papakyriakou ◽  
C. Breneman
Keyword(s):  
Time Series ◽  
Sea Ice ◽  
Synthetic Aperture Radar ◽  
Canadian Arctic ◽  
Radar Data ◽  
Synthetic Aperture ◽  
First Year ◽  
Canadian Arctic Archipelago ◽  
Synthetic Aperture Radar Data ◽  
Aperture Radar

scholarly journals Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data

2021 ◽  
Vol 13 (9) ◽  
pp. 1753
Author(s):  
Johnson Bailey ◽  
Armando Marino ◽  
Vahid Akbari
Keyword(s):  
Sea Ice ◽  
Synthetic Aperture Radar ◽  
Roc Curves ◽  
Radar Data ◽  
Open Ocean ◽  
Synthetic Aperture ◽  
False Alarms ◽  
Synthetic Aperture Radar Data ◽  
Whitening Filter ◽  
Aperture Radar

Icebergs represent hazards to ships and maritime activities and therefore their detection is essential. Synthetic Aperture Radar (SAR) satellites are very useful for this, due to their capability to acquire data under cloud cover and during day and night passes. In this work, we compared six state-of-the-art polarimetric target detectors to test their performance and ability to detect small-sized icebergs <120 m in four locations in Greenland. We used four single-look complex (SLC) ALOS-2 quad-polarimetric images from JAXA for quad-polarimetric detection and we compared with dual-polarimetric detectors using only the channels HH and HV. We also compared these detectors with single-polarimetric intensity channels and we tested using two scenarios: open ocean and sea ice. Our results show that the multi-look polarimetric whitening filter (MPWF) and the optimal polarimetric detector (OPD) provide the most optimal performance in quad- and dual-polarimetric mode detection. The analysis shows that, overall, quad-polarimetric detectors provide the best detection performance. When the false alarm rate (PF) is fixed to 10-5, the probabilities of detection (PD) are 0.99 in open ocean and 0.90 in sea ice. Dual-polarimetric or single-polarimetric detectors show an overall reduction in performance (the ROC curves show a decrease), but this degradation is not very large (<0.1) when the value of false alarms is relatively high (i.e., we are interested in bigger icebergs with a brighter backscattering >120 m, as they are easier to detect). However, the differences between quad- and dual- or single-polarimetric detectors became much more evident when the PF value was fixed to low detection probabilities 10-6 (i.e., smaller icebergs). In the single-polarimetric mode, the HV channel showed PD values of 0.62 for open ocean and 0.26 for sea ice, compared to values of 0.81 (open ocean) and 0.77 (sea ice) obtained with quad-polarimetric detectors.

scholarly journals Estimation of Level and Deformed First-Year Sea Ice Surface Roughness in the Canadian Arctic Archipelago from C- and L-Band Synthetic Aperture Radar

2019 ◽  
Vol 45 (3-4) ◽  
pp. 457-475 ◽  
Author(s):  
Silvie Marie Cafarella ◽  
Randall Scharien ◽  
Torsten Geldsetzer ◽  
Stephen Howell ◽  
Christian Haas ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Sea Ice ◽  
Synthetic Aperture Radar ◽  
Canadian Arctic ◽  
Synthetic Aperture ◽  
First Year ◽  
Canadian Arctic Archipelago ◽  
Ice Surface ◽  
L Band ◽  
Ice Surface Roughness

Mapping rice-planted areas using time-series synthetic aperture radar data for the Asia-RiCE activity

2015 ◽  
Vol 14 (4) ◽  
pp. 463-472 ◽  
Author(s):  
Kei Oyoshi ◽  
Nobuhiro Tomiyama ◽  
Toshio Okumura ◽  
Shinichi Sobue ◽  
Jun Sato
Keyword(s):  
Time Series ◽  
Synthetic Aperture Radar ◽  
Radar Data ◽  
Synthetic Aperture ◽  
Synthetic Aperture Radar Data ◽  
Aperture Radar

scholarly journals Identification of sea ice types in spaceborne synthetic aperture radar data

1992 ◽  
Vol 97 (C2) ◽  
pp. 2391 ◽  
Author(s):  
Ronald Kwok ◽  
Eric Rignot ◽  
Benjamin Holt ◽  
R. Onstott
Keyword(s):  
Sea Ice ◽  
Synthetic Aperture Radar ◽  
Radar Data ◽  
Synthetic Aperture ◽  
Synthetic Aperture Radar Data ◽  
Aperture Radar

scholarly journals Characterizing winter landfast sea-ice surface roughness in the Canadian Arctic Archipelago using Sentinel-1 synthetic aperture radar and the Multi-angle Imaging SpectroRadiometer

2020 ◽  
pp. 1-15
Author(s):  
Rebecca A. Segal ◽  
Randall K. Scharien ◽  
Silvie Cafarella ◽  
Andrew Tedstone
Keyword(s):  
Surface Roughness ◽  
Sea Ice ◽  
Synthetic Aperture Radar ◽  
Canadian Arctic ◽  
Airborne Lidar ◽  
Synthetic Aperture ◽  
Canadian Arctic Archipelago ◽  
Ice Roughness ◽  
The Relationship ◽  
Aperture Radar

Abstract Two satellite datasets are used to characterize winter landfast first-year sea-ice (FYI), deformed FYI (DFYI) and multiyear sea-ice (MYI) roughness in the Canadian Arctic Archipelago (CAA): (1) optical Multi-angle Imaging SpectroRadiometer (MISR) and (2) synthetic aperture radar Sentinel-1. The Normalized Difference Angular Index (NDAI) roughness proxy derived from MISR, and backscatter from Sentinel-1 are intercompared. NDAI and backscatter are also compared to surface roughness derived from an airborne LiDAR track covering a subset of FYI and MYI (no DFYI). Overall, NDAI and backscatter are significantly positively correlated when all ice type samples are considered. When individual ice types are evaluated, NDAI and backscatter are only significantly correlated for DFYI. Both NDAI and backscatter are correlated with LiDAR-derived roughness (r = 0.71 and r = 0.74, respectively). The relationship between NDAI and roughness is greater for MYI than FYI, whereas for backscatter and ice roughness, the relationship is greater for FYI than MYI. Linear regression models are created for the estimation of FYI and MYI roughness from NDAI, and FYI roughness from backscatter. Results suggest that using a combination of Sentinel-1 backscatter for FYI and MISR NDAI for MYI may be optimal for mapping winter sea-ice roughness in the CAA.

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