{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:25:41Z","timestamp":1760235941224,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,9]],"date-time":"2021-10-09T00:00:00Z","timestamp":1633737600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004230","name":"Korea Polar Research Institute","doi-asserted-by":"publisher","award":["PE21040"],"award-info":[{"award-number":["PE21040"]}],"id":[{"id":"10.13039\/501100004230","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Estimating the sea ice drift field is of importance in both scientific study and activities in the polar ocean. Ice motion is being tracked at large scale (10 km and larger) on a daily basis; however, a higher resolution product is desirable for more reliable monitoring of rapid changes in sea ice. The use of wide-swath SAR has been extensively studied; yet, recent high-resolution X-band SAR sensors have not been tested enough. We examine the feasibility of KOMPSAT-5 and COSMO-SkyMed for retrieving sea ice motion by using the dataset of the MOSAiC expedition. The ice drift match-ups extracted from consecutive SAR image pairs and buoys for more than seven months in the central Arctic were used for a performance evaluation and validation. In addition to individual tests for KOMPSAT-5 and COSMO-SkyMed, a cross-sensor combination of two sensors was tested to overcome the drawback, a relatively long revisit time of high-resolution SAR. The experimental results show that higher accuracies are achievable from both single- and cross-sensor configurations of high-resolution X-band SARs compared to wide-swath C-band SARs, and that sub-daily monitoring is feasible from the cross-sensor approach.<\/jats:p>","DOI":"10.3390\/rs13204038","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T21:37:49Z","timestamp":1633901869000},"page":"4038","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and COSMO-SkyMed SAR Images"],"prefix":"10.3390","volume":"13","author":[{"given":"Jeong-Won","family":"Park","sequence":"first","affiliation":[{"name":"Center of Remote Sensing and GIS, Korea Polar Research Institute, Incheon 21990, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6831-9291","authenticated-orcid":false,"given":"Hyun-Cheol","family":"Kim","sequence":"additional","affiliation":[{"name":"Center of Remote Sensing and GIS, Korea Polar Research Institute, Incheon 21990, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3601-1161","authenticated-orcid":false,"given":"Anton","family":"Korosov","sequence":"additional","affiliation":[{"name":"Nansen Environmental and Remote Sensing Center, 5006 Bergen, Norway"}]},{"given":"Denis","family":"Demchev","sequence":"additional","affiliation":[{"name":"Nansen Environmental and Remote Sensing Center, 5006 Bergen, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4633-1238","authenticated-orcid":false,"given":"Stefano","family":"Zecchetto","sequence":"additional","affiliation":[{"name":"Institute of Polar Sciences, National Research Council of Italy, 35127 Padova, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6434-5388","authenticated-orcid":false,"given":"Seung Hee","family":"Kim","sequence":"additional","affiliation":[{"name":"Center of Remote Sensing and GIS, Korea Polar Research Institute, Incheon 21990, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1293-9405","authenticated-orcid":false,"given":"Young-Joo","family":"Kwon","sequence":"additional","affiliation":[{"name":"Center of Remote Sensing and GIS, Korea Polar Research Institute, Incheon 21990, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0414-519X","authenticated-orcid":false,"given":"Hyangsun","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Geophysics, Kangwon National University, Chuncheon-si 24341, Korea"}]},{"given":"Chang-Uk","family":"Hyun","sequence":"additional","affiliation":[{"name":"Department of Energy and Mineral Resources Engineering, Dong-A University, Busan 49315, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"D11122","DOI":"10.1029\/2006JD008230","article-title":"The large-scale energy budget of the Arctic","volume":"112","author":"Serreze","year":"2007","journal-title":"J. Geophys. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1007\/s10712-014-9284-0","article-title":"Effects of Arctic Sea Ice Decline on Weather and Climate: A Review","volume":"35","author":"Vihma","year":"2014","journal-title":"Surv. Geophys."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Untersteiner, N. (1986). The Surface Heat and Mass Balance. The Geophysics of Sea Ice, Springer.","DOI":"10.1007\/978-1-4899-5352-0"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1175\/1520-0442(1995)008<0240:SIACFM>2.0.CO;2","article-title":"Sea Ice-Albedo Climate Feedback Mechanism","volume":"8","author":"Curry","year":"1995","journal-title":"J. Clim."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"4501","DOI":"10.1029\/JC080i033p04501","article-title":"The thickness distribution of sea ice","volume":"80","author":"Thorndike","year":"1975","journal-title":"J. Geophys. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"8097","DOI":"10.1002\/2016GL069333","article-title":"Contributions of growth and deformation to monthly variability in sea ice thickness north of the coasts of Greenland and the Canadian Arctic Archipelago","volume":"43","author":"Kwok","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_7","unstructured":"Tschudi, M., Meier, W.N., Stewart, J.S., Fowler, C., and Maslanik, J. (2021, July 15). Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4, Available online: https:\/\/nsidc.org\/data\/NSIDC-0116\/versions\/3."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"269","DOI":"10.5194\/tc-9-269-2015","article-title":"Arctic sea ice thickness loss determined using subsurface, aircraft, and satellite observations","volume":"9","author":"Lindsay","year":"2015","journal-title":"Cryosphere"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"L19501","DOI":"10.1029\/2011GL048970","article-title":"Trends in Arctic sea ice drift and role of wind forcing: 1992\u20132009","volume":"38","author":"Spreen","year":"2011","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"C05013","DOI":"10.1029\/2008JC005066","article-title":"Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979\u20132007","volume":"114","author":"Rampal","year":"2009","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Farooq, U., Rack, W., McDonald, A., and Howell, S. (2020). Long-Term Analysis of Sea Ice Drift in the Western Ross Sea, Antarctica, at High and Low Spatial Resolution. Remote Sens., 12.","DOI":"10.3390\/rs12091402"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.5194\/tc-10-1055-2016","article-title":"neXtSIM: A new Lagrangian sea ice model","volume":"10","author":"Rampal","year":"2016","journal-title":"Cryosphere"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2457","DOI":"10.5194\/tc-13-2457-2019","article-title":"On the multi-fractal scaling properties of sea ice deformation","volume":"13","author":"Rampal","year":"2019","journal-title":"Cryosphere"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"4751","DOI":"10.1029\/90JC02273","article-title":"Fram Strait satellite image-derived ice motions","volume":"96","author":"Emery","year":"1991","journal-title":"J. Geophys. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"305","DOI":"10.3189\/S0260305500014191","article-title":"Estimation of large-scale sea-ice motion from SSM\/I 85.5 GHz imagery","volume":"25","author":"Agnew","year":"1997","journal-title":"Ann. Glaciol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/TGRS.2005.859352","article-title":"Arctic-wide operational sea ice drift from enhanced-resolution QuikSCAT\/SeaWinds scatterometry and its validation","volume":"44","author":"Haarpaintner","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/48.46835","article-title":"An Ice Motion Tracking System at the Alaska SAR Facility","volume":"15","author":"Kwok","year":"1990","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.coldregions.2007.06.006","article-title":"High resolution (400 m) motion characterization of sea ice using ERS-1 SAR imagery","volume":"52","author":"Thomas","year":"2008","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"311","DOI":"10.3189\/172756411795931462","article-title":"Performance of a multiscale correlation algorithm for the estimation of sea-ice drift from SAR images: Initial results","volume":"52","author":"Hollands","year":"2011","journal-title":"Ann. Glaciol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1109\/TGRS.2012.2236845","article-title":"Sea Ice Motion Tracking from Sequential Dual-Polarization RADARSAT-2 Images","volume":"52","author":"Komarov","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Korosov, A.A., and Rampal, P. (2017). A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data. Remote Sens., 9.","DOI":"10.3390\/rs9030258"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"5174","DOI":"10.1109\/TGRS.2017.2703084","article-title":"Sea Ice Drift Tracking from Sequential SAR Images Using Accelerated-KAZE Features","volume":"55","author":"Demchev","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","unstructured":"Copernicus Marine Service (2021, July 15). SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006. Available online: https:\/\/resources.marine.copernicus.eu\/?option=com_csw&view=details&product_id=SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ignatenko, V., Laurila, P., Radius, A., Lamentowski, L., Antropov, O., and Muff, D. (October, January 26). ICEYE Microsatellite SAR Constellation Status Update: Evaluation of First Commercial Imaging Modes. Proceedings of the IGARSS 2020\u2014IEEE International Geoscience and Remote Sensing Symposium, Virtual Symposium, Waikoloa, HI, USA .","DOI":"10.1109\/IGARSS39084.2020.9324531"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Frost, A., Jacobsen, S., and Singha, S. (2017, January 23\u201328). High resolution sea ice drift estimation using combined TerraSAR-X and RADARSAT-2 data: First tests. Proceedings of IGARSS 2017\u2014IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, TX, USA.","DOI":"10.1109\/IGARSS.2017.8126966"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2173","DOI":"10.5194\/tc-14-2173-2020","article-title":"The MOSAiC ice floe: Sediment-laden survivor from the Siberian shelf","volume":"14","author":"Krumpen","year":"2020","journal-title":"Cryosphere"},{"key":"ref_27","unstructured":"Korea Aerospace Research Institute (KARI) (2021, July 15). SI Imaging Services. KOMPSAT-5 Product Specifications., Available online: http:\/\/www.si-imaging.com\/wp-content\/uploads\/2016\/12\/KOMPSAT-5_Standard_Products_Specifications_v1.2.pdf."},{"key":"ref_28","unstructured":"Agenzia Spaziale Italiana (ASI) (2021, July 15). COSMO-SkyMed Mission and Products Description. Available online: https:\/\/www.asi.it\/wp-content\/uploads\/2019\/08\/COSMO-SkyMed-Mission-and-Products-Description_rev3-2.pdf."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Rabe, B., and Team MOSAiC Distributed Network (2021, January 19\u201330). Autonomously observing coupled Arctic processes year-round: The Distributed Network of ice-tethered buoys during MOSAiC. Proceedings of the EGU General Assembly 2021, Online.","DOI":"10.5194\/egusphere-egu21-9496"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3897","DOI":"10.5194\/tc-15-3897-2021","article-title":"The MOSAiC Drift: Ice conditions from space and comparison with previous years","volume":"15","author":"Krumpen","year":"2021","journal-title":"Cryosphere"},{"key":"ref_31","unstructured":"SI Imaging Services (2021, July 15). KOMPSAT-5 Imagery Quality Report (September & October 2019). Available online: https:\/\/www.si-imaging.com\/resources\/?pageid=2&mod=document&keyword=KOMPSAT&uid=363."},{"key":"ref_32","unstructured":"SI Imaging Services (2021, July 15). KOMPSAT-5 Imagery Quality Report (November & December 2019). Available online: https:\/\/www.si-imaging.com\/resources\/?pageid=2&mod=document&keyword=KOMPSAT&uid=368."},{"key":"ref_33","unstructured":"SI Imaging Services (2021, July 15). KOMPSAT-5 Imagery Quality Report (January & February 2020). Available online: https:\/\/www.si-imaging.com\/resources\/?pageid=2&mod=document&keyword=KOMPSAT&uid=377."},{"key":"ref_34","unstructured":"SI Imaging Services (2021, July 15). KOMPSAT-5 Imagery Quality Report (March & April 2020). Available online: https:\/\/www.si-imaging.com\/resources\/?pageid=1&mod=document&keyword=KOMPSAT&uid=385."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"11078","DOI":"10.1029\/JC086iC11p11078","article-title":"Sea ice displacement from Seasat synthetic aperture radar","volume":"86","author":"Hall","year":"1981","journal-title":"J. Geophys. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1109\/TGRS.1987.289836","article-title":"Sea Ice Tracking by Nested Correlations","volume":"GE-25","author":"Fily","year":"1987","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Korosov, A.A., Hansen, M.W., Dagestad, K.-F., Yamakawa, A., Vines, A., and Riechert, M. (2016). Nansat: A Scientist-Orientated Python Package for Geospatial Data Processing. J. Open Res. Softw., 4.","DOI":"10.5334\/jors.120"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1175\/1520-0426(1993)010<0355:APDFVC>2.0.CO;2","article-title":"A Proposed Definition for Vector Correlation in Geophysics: Theory and Application","volume":"10","author":"Crosby","year":"1993","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"100","DOI":"10.5670\/oceanog.2013.33","article-title":"Sea ice monitoring by synthetic aperture radar","volume":"26","author":"Dierking","year":"2013","journal-title":"Oceanography"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/20\/4038\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:11:10Z","timestamp":1760166670000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/20\/4038"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,9]]},"references-count":39,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["rs13204038"],"URL":"https:\/\/doi.org\/10.3390\/rs13204038","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,10,9]]}}}