Ice cards

Ice maps produced for the prevention of flooding by ice jams and the monitoring of river ice during spring floods, winter temperatures or even during problems with ice jams. The maps are derived from radar satellite images, therefore available regardless of cloud cover, from several different sources, using algorithms to classify pixels into types of ice cover. Data is only processed and displayed on the main rivers at risk. The date the image was taken and the approximate region covered by the data is shown in the layer name. Data is added several times a week, but the frequency of revisits to each river can vary between 2 days and 2 weeks. | Name | Period | Satellite | Resolution | Algorithm | | R2 | 2018 - 2022 | Radarsat 2 | 7m | 7m | 7m | Icemap-r | | IceMap-r | | R | R | R | R | R | R | R | R | R | R | 2 times a week, 7 m | 7 m | IceMap-r | 7 m | | IceMap-r | 7 m | | IceMap-r | 7 m | | Icemap-r | | R | R | R | R | R | R | R | R | R | R | R | R | 2, 8, 7 m | | IceMap-r | 7 m | | IceMap-r 12.5m | owner DGI | The different classes in the legend make it possible to differentiate the following types of ice: * Water (dark blue) : open water * Water/Smooth ice (blue) : combination of water on ice, or spaced rafts of frasil * Smooth ice (cyan) : or black ice, the exact term for this type of ice is “columnar ice”, due to the vertical and elongated shape of the crystals that compose it. Black ice is generally transparent because it contains few or no air bubbles. It is formed by cooling, in fairly calm water, which is why it is sometimes called “thermal ice”. Its surface is very smooth. * Consolidated ice (light pink) : it includes Frasil ice or snow ice. Frasil ice forms in turbulent and very cold water. Composed of fine rounded crystals. These grains accumulate and rise to the surface to form moving ice rafts. These rafts end up close enough to freeze together (agglomerated ice). It contains a lot of air bubbles. Its surface is slightly to moderately rough. * Consolidated ice with accumulations (dark pink) : ice cover formed by the stacking and freezing of various forms of moving ice. blocks that are superimposed or pieces of ice that are detached in one place and that are piled up in another. Moderately rough to very rough surface. The images from Radarsat-2 and RCM are obtained through a partnership between Public Safety Canada and the MSP. The ICEMAP-R algorithm developed by INRS makes it possible to identify the type of ice according to the internal roughness of the ice (presence of air bubbles) and the roughness of the surface of the ice cover (presence of blocks and accumulations). The initial version was usable for Radarsat 2. The 2022 and 2023 RCM ice maps are given as an indication (new algorithm in process), only the 2024 data are processed with the Icemap-R algorithm adapted to RCM. Since 2018, the MSP has also used images from Sentinel-1, a radar satellite from the European Space Agency with a resolution of 10 m, resampled to 12.5m for ice maps. The images are then processed by the firm Dromedaire Géo-Innovation, which uses a proprietary algorithm. The output of the various algorithms has been reclassified to obtain a comparable legend. Historical data may have presented an alternative classification. Until 2022, the legend varied between winter and thaw. LIMITATIONS: the ice map is the result of an automated radar satellite image processing process. This process involves interpretation uncertainties that may be caused by the climatic conditions that prevailed when the image was acquired (melt, presence of water on the ice) or by physical characteristics of the watercourse (presence of shoals, islands or rapids). They also depend on the resolution of the initial images. Thus, although the ice map created is representative of reality, there may be some errors in identifying ice conditions at the local level. The use of the product is optimal when combined with field observations. The web service also contains visible satellite images from Landsat (L8, L9) or Sentinel 2 (S2); in this case colored compounds (false colors to benefit from the infrared bands in particular) are used to best visualize the presence of ice.This third party metadata element was translated using an automated translation tool (Amazon Translate).