SERF2020: Thin Pure and Oil Contaminated Sea Ice Time Series Time Series Dataset Complete As needed 2026-04-28 2026 CanWIN Dadjoo, Mehran Personal dadjoom@myumanitoba.ca Centre for Earth Observation Science - University of Manitoba Isleifson, Dustin Personal Dustin.Isleifson@umanitoba.ca Centre for Earth Observation Science - University of Manitoba Isleifson, Dustin Dustin.Isleifson@umanitoba.ca 2020-02-07 2020-02-13 Methods Alternative Title Creative Commons Attribution 4.0 International Open https://spdx.org/licenses CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset. By using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available. By accessing this data you agree to [CanWIN's Terms of Use](/data/publication/canwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0). Toward the Discrimination of Oil Spills in Newly Formed Sea Ice Using C-Band Radar Polarimetric Parameters 10.1109/TGRS.2022.3232083 DOI IsPublishedIn Online Resource JournalArticle Online Resource Radar Polarization Remote Sensing of Sea Ice SERF Sea Ice Thickness SERF2020_Cband_Tair_CFDM_Thickness1to5cm_CanWin.xlsx XLSX application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 20996.0 f72ae926cc95888e14e6ca8e19f9b1fa