SAR 영상과 GPS 추적기를 이용한 여름철 해빙 이동 궤적 추적 = Sea Ice Drift Tracking from SAR Images and GPS Tracker

다국어 초록 (Multilingual Abstract)

Sea ice plays an important role in Earth’s climate by regulating the amount of solar energyabsorbed and controlling the exchange of heat and material across the air-sea interface. Its growth, drift,and melting are monitored on a regular basis by satellite observations. However, low-resolution productswith passive microwave radiometer have reduced accuracy during summer to autumn when the icesurface changes rapidly. Synthetic aperture radar (SAR) observations are emerging as a powerfulcomplementary, but previous researches have mainly focused on winter ice. In this study, sea ice drifttracking was evaluated and analyzed using SAR images and tracker with global positioning system (GPS)during late summer-early autumn period when ice surface condition changes a lot. The results showedthat observational uncertainty increases compared to winter period, however, the correlation coefficientwith GPS measurements was excellent at 0.98, and the performance of the ice tracking algorithm wasproportional to the sea ice concentration with a correlation coefficient of 0.59 for ice concentrationsabove 50%.

참고문헌 (Reference)

1 Lavelle, J, "Validation report for the OSI SAF AMSR-2 sea ice concentration - ver. 1.1" EUMETSAT OSI SAF – Ocean and Sea Ice Satellite Application Facility 2016

2 Lavergne, T., "Validation and monitoring of the OSI SAF low resolution sea ice drift product - ver. 5" EUMETSAT OSI SAF – Ocean and Sea Ice Satellite Application Facility 2016

3 Hiroshi Sumata, "Uncertainty of Arctic summer ice drift assessed by high‐resolution SAR data" American Geophysical Union (AGU) 120 (120): 5285-5301, 2015

4 Maykut, G. A., "The geophysics of sea ice" Springer 395-463, 1986

5 McPhee, M. G., "Sea ice" John Wiley and Sons, Ltd. 138-159, 2017

6 Haas, C., "Sea ice" John Wiley and Sons, Ltd 42-64, 2017

7 Alexander S. Komarov, "Sea Ice Motion Tracking From Sequential Dual-Polarization RADARSAT-2 Images" Institute of Electrical and Electronics Engineers (IEEE) 52 (52): 121-136, 2014

8 Hollands, T., "Performance of a multiscale correlation algorithm for the estimation of sea-ice drift from SAR images : Initial results" 52 (52): 311-317, 2011

9 Copernicus, "News: End of mission of the Copernicus Sentinel-1B satellite"

10 Hibler, W. D., "Modeling M2 tidal variability in Arctic Sea-ice drift and deformation" 44 : 418-428, 2006

11 Carlson, D. F., "Maker buoy variants for water level monitoring and tracking drifting objects in remote areas of Greenland" 20 : 1254-, 2020

12 Kimura, N., "Influence of winter sea-ice motion on summer ice cover in the Arctic" 32 (32): 20193-, 2013

13 Donald K. Perovich, "Increasing solar heating of the Arctic Ocean and adjacent seas, 1979–2005: Attribution and role in the ice‐albedo feedback" American Geophysical Union (AGU) 34 (34): L19505-, 2007

14 Wadhams, P., "Ice in the ocean" CRC Press 2000

15 M. Thomas, "High resolution (400 m) motion characterization of sea ice using ERS-1 SAR imagery" Elsevier BV 52 (52): 207-223, 2008

16 Jeong-Won Park, "Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and COSMO-SkyMed SAR Images" MDPI AG 13 (13): 4038-, 2021

17 Weiss, J., "Drift, deformation, and fracture of sea ice: A perspective across scales" Springer Dordrecht 2013

18 Jeong-Won Park, "Classification of sea ice types in Sentinel-1 synthetic aperture radar images" Copernicus GmbH 14 (14): 2629-2645, 2020

19 Caroline Leck, "Chemical composition and sources of the high Arctic aerosol relevant for cloud formation" American Geophysical Union (AGU) 107 (107): 2002

20 Kort, E. A., "Atmospheric observations of Arctic Ocean methane emissions up to 82° north" 5 : 318-321, 2012

21 Kwok, R., "Arctic sea ice thickness, volume, and multiyear ice coverage : Losses and coupled variability(1958–2018)" 13 : 105005-, 2018

22 Kwok, R., "An ice-motion tracking system at the Alaska SAR facility" 15 (15): 44-54, 1990

23 Korosov, A., "A combination of feature tracking and pattern matching with optimal parametrization for sea ice drift retrieval from SAR data" 9 (9): 258-, 2017