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TitleWarm season snow/ice probability maps from MODIS and VIIRS sensors over Canada
AuthorTrishchenko, A P; Ungureanu, C
SourceIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; IEEE International Geoscience and Remote Sensing Symposium proceedings 2018, 8519558, 2018 p. 1-3, https://doi.org/10.1109/IGARSS.2018.8519558
Year2018
Alt SeriesNatural Resources Canada, Contribution Series 20190093
PublisherIEEE
MeetingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; Valencia; ES; July 22-27, 2018
Documentserial
Lang.English
Mediaon-line; digital
File formatpdf (Adobe® Reader®)
ProvinceCanada; British Columbia; Alberta; Saskatchewan; Manitoba; Ontario; Quebec; New Brunswick; Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Northwest Territories; Yukon; Nunavut
NTS1; 2; 3; 10; 11; 12; 13; 14; 15; 16; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 52; 53; 54; 55; 56; 57; 58; 59; 62; 63; 64; 65; 66; 67; 68; 69; 72; 73; 74; 75; 76; 77; 78; 79; 82; 83; 84; 85; 86; 87; 88; 89; 92; 93; 94; 95; 96; 97; 98; 99; 102; 103; 104; 105; 106; 107; 114O; 114P; 115; 116; 117; 120; 340; 560
Lat/Long WENS-141.0000 -50.0000 90.0000 41.7500
Subjectsgeophysics; hydrogeology; remote sensing; satellite imagery; infrared spectral analyses; snow; ice; glaciers; mapping techniques; climate effects; time observations; methodology; VIIRS; Visible Infrared Imaging Radiometer Suite; MODIS; Moderate Resolution Imaging Spectroradiometer; image processing; fresh water; water resources; climate change; land cover
Illustrationssatellite images; geoscientific sketch maps; bar graphs; time series
ProgramCoastal Infrastructure, Climate Change Geoscience
Released2018 11 05
AbstractThe development of snow and ice probability maps at the Canada Centre for Remote Sensing (CCRS) from the MODIS and VIIRS sensors is described. Time series are generated for each warm season (April-September) since 2000 at 250m spatial resolution over the Northern latitudes that cover Canada and neighboring regions. These data are valuable for characterization of fresh water resources, such as snow and land ice, which are very sensitive to climate variations. Comparison of CCRS data against several land cover schemes revealed large discrepancies in the permanent snow/ice extent that can reach nearly 200% over the Canadian Arctic region. CCRS results are very consistent with the Randolph Glacier Inventory (RGI) and can be used for the RGI validation and updates. Data are publicly available from the Canadian Federal Geospatial Platform (FGP) data archive.
GEOSCAN ID314750