{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T14:30:58Z","timestamp":1774449058913,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T00:00:00Z","timestamp":1641772800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Canadian RADARSAT Constellation Mission (RCM) has passed its early operation phase with the performance evaluation being currently active. This evaluation aims to confirm that the innovative design of the mission\u2019s synthetic aperture radar (SAR) meets the expectations of intended users. In this study, we provide an overview of initial results obtained for three high-priority applications; flood mapping, sea ice analysis, and wetland classification. In our study, the focus is on results obtained using not only linear polarization, but also the adopted Compact Polarimetric (CP) architecture in RCM. Our study shows a promising level of agreement between RCM and RADARSAT-2 performance in flood mapping using dual-polarized HH-HV SAR data over Red River, Manitoba, suggesting smooth continuity between the two satellite missions for operational flood mapping. Visual analysis of coincident RCM CP and RADARSAT-2 dual-polarized HH-HV SAR imagery over the Resolute Passage, Canadian Central Arctic, highlighted an improved contrast between sea ice classes in dry ice winter conditions. A statistical analysis using selected sea ice samples confirmed the increased contrast between thin and both rough and deformed ice in CP SAR. This finding is expected to enhance Canadian Ice Service\u2019s (CIS) operational visual analysis of sea ice in RCM SAR imagery for ice chart production. Object-oriented classification of a wetland area in Newfoundland and Labrador by fusion of RCM dual-polarized VV-VH data and Sentinel-2 optical imagery revealed promising classification results, with an overall accuracy of 91.1% and a kappa coefficient of 0.87. Marsh presented the highest user\u2019s and producer\u2019s accuracies (87.77% and 82.08%, respectively) compared to fog, fen, and swamp.<\/jats:p>","DOI":"10.3390\/rs14020301","type":"journal-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T22:03:13Z","timestamp":1641852193000},"page":"301","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["The RADARSAT Constellation Mission Core Applications: First Results"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3486-9890","authenticated-orcid":false,"given":"Mohammed","family":"Dabboor","sequence":"first","affiliation":[{"name":"Science and Technology Branch, Environment and Climate Change Canada, Dorval, QC H9P 1J3, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"Olthof","sequence":"additional","affiliation":[{"name":"Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1S 5K2, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7234-959X","authenticated-orcid":false,"given":"Masoud","family":"Mahdianpari","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John\u2019s, NL A1B 3X5, Canada"},{"name":"C-CORE, 1 Morrissey Road, St. John\u2019s, NL A1B 3X5, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fariba","family":"Mohammadimanesh","sequence":"additional","affiliation":[{"name":"C-CORE, 1 Morrissey Road, St. John\u2019s, NL A1B 3X5, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed","family":"Shokr","sequence":"additional","affiliation":[{"name":"Science and Technology Branch, Environment and Climate Change Canada, Downsview, ON M3H 5T4, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8439-362X","authenticated-orcid":false,"given":"Brian","family":"Brisco","sequence":"additional","affiliation":[{"name":"Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1S 5K2, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0214-5356","authenticated-orcid":false,"given":"Saeid","family":"Homayouni","sequence":"additional","affiliation":[{"name":"Centre Eau Terre Environnement, Institut National de la Recherche Scientifique (INRS), Quebec City, QC G1K 9A9, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"S\u00e9guin, G., and Ahmed, S. (2009, January 12\u201317). RADARSAT constellation, project objectives and status. Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa.","DOI":"10.1109\/IGARSS.2009.5418242"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Dabboor, M., Iris, S., and Singhroy, V. (2018). The RADARSAT Constellation Mission in Support of Environmental Applications. Proceedings, 2.","DOI":"10.3390\/ecrs-2-05136"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3397","DOI":"10.1109\/TGRS.2007.895883","article-title":"Hybrid-polarity SAR architecture","volume":"45","author":"Raney","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"S298","DOI":"10.5589\/m10-062","article-title":"Compact polarimetry overview and applications assessment","volume":"36","author":"Charbonneau","year":"2010","journal-title":"Can. J. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.rse.2013.08.035","article-title":"Towards sea ice classification using simulated RADARSAT constellation mission compact polarimetric SAR imagery","volume":"140","author":"Dabboor","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1080\/07038992.2015.1120661","article-title":"All-season compact-polarimetry C-band SAR observations of sea ice","volume":"41","author":"Geldsetzer","year":"2015","journal-title":"Can. J. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Dabboor, M., Montpetit, B., and Howell, S. (2018). Assessment of the high resolution SAR mode of the RADARSAT constellation mission for first year ice and multiyear ice characterization. Remote Sens., 10.","DOI":"10.3390\/rs10040594"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1080\/07038992.2015.1104630","article-title":"On the detection and discrimination of ships and icebergs using simulated dual-polarized RADARSAT constellation data","volume":"41","author":"Denbina","year":"2015","journal-title":"Can. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1080\/07038992.2015.1104635","article-title":"Ocean wind study using simulated RCM compact-polarimetry SAR","volume":"41","author":"Geldsetzer","year":"2015","journal-title":"Can. J. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Geldsetzer, T., Khurshid, S.K., Warner, K., Botelho, F., and Flett, D. (2019). Wind speed retrieval from simulated RADARSAT constellation mission compact polarimetry SAR data for marine Application. Remote Sens., 11.","DOI":"10.3390\/rs11141682"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1080\/07038992.2019.1659722","article-title":"Pre-launch assessment of RADARSAT constellation mission medium resolution modes for sea oil slicks and lookalike discrimination","volume":"45","author":"Dabboor","year":"2019","journal-title":"Can. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1080\/07038992.2015.1104634","article-title":"Change detection with compact polarimetric SAR for monitoring wetlands","volume":"41","author":"Dabboor","year":"2015","journal-title":"Can. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1109\/JSTARS.2019.2909437","article-title":"Comparison of compact and fully polarimetric SAR for multitemporal wetland monitoring","volume":"12","author":"Dabboor","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Olthof, I., and Rainville, T. (2020). Evaluating simulated RADARSAT constellation mission (RCM) compact polarimetry for open-water and flooded-vegetation wetland mapping. Remote Sens., 12.","DOI":"10.3390\/rs12091476"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Kroupnik, G., De Lisle, D., C\u00f4t\u00e9, S., Lapointe, M., Casgrain, C., and Fortier, R. (2021, January 7\u201314). RADARSAT constellation mission overview and status. Proceedings of the 2021 IEEE Radar Conference (RadarConf21), Atlanta, GA, USA.","DOI":"10.1109\/RadarConf2147009.2021.9455298"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Olthof, I., Tolszczuk-Leclerc, S., Lehrbass, B., Shelat, Y., Neufeld, V., and Decker, V. (2018). New Flood Mapping Methods Implemented during the 2017 Spring Flood Activation in Southern Quebec, Geomatics Canada.","DOI":"10.4095\/306577"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/978-3-319-57454-7_53","article-title":"On the robustness of decision tree learning under label noise","volume":"Volume 10234","author":"Kim","year":"2017","journal-title":"Advances in Knowledge Discovery and Data Mining"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1109\/TNNLS.2013.2292894","article-title":"Classification in the presence of label noise: A survey","volume":"25","author":"Verleysen","year":"2014","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"336","DOI":"10.5589\/m09-025","article-title":"A semi-automated tool for surface water mapping with RADARSAT-1","volume":"35","author":"Brisco","year":"2009","journal-title":"Can. J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1080\/01431169008955095","article-title":"Radar detection of flood beneath the forest canopy: A review","volume":"11","author":"Hess","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Olthof, I. (2017). Mapping seasonal inundation frequency (1985\u20132016) along the St-John River, New Brunswick, Canada using the Landsat archive. Remote Sens., 9.","DOI":"10.3390\/rs9020143"},{"key":"ref_23","first-page":"1461","article-title":"Water body detection and delineation with Landsat TM data","volume":"66","author":"Frazier","year":"2000","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Brisco, B., and Gill, E. (2019). Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification. Remote Sens., 11.","DOI":"10.3390\/rs11050516"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1080\/07038992.2017.1381550","article-title":"An Assessment of simulated compact polarimetric SAR data for wetland classification using random forest algorithm","volume":"43","author":"Mahdianpari","year":"2017","journal-title":"Can. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.isprsjprs.2017.05.010","article-title":"Random forest wetland classification using ALOS-2 L-Band, RADARSAT-2 C-Band, and TerraSAR-X imagery","volume":"130","author":"Mahdianpari","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Mahdianpari, M., Mohammadimanesh, F., McNairn, H., Davidson, A., Rezaee, M., Salehi, B., and Homayouni, S. (2019). Mid-season crop classification using dual-, compact-, and full-polarization in preparation for the RADARSAT constellation mission (RCM). Remote Sens., 11.","DOI":"10.3390\/rs11131582"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.isprsjprs.2018.05.009","article-title":"Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands","volume":"142","author":"Mohammadimanesh","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/2\/301\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:01:52Z","timestamp":1760364112000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/2\/301"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,10]]},"references-count":28,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,1]]}},"alternative-id":["rs14020301"],"URL":"https:\/\/doi.org\/10.3390\/rs14020301","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,10]]}}}