| Title | Warm season snow/ice probability maps from MODIS and VIIRS sensors over Canada |
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| Author | Trishchenko, A P ;
Ungureanu, C |
| Source | IGARSS 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 |
| Image |  |
| Year | 2018 |
| Alt Series | Natural Resources Canada, Contribution Series 20190093 |
| Publisher | IEEE |
| Meeting | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; Valencia; ES; July 22-27, 2018 |
| Document | serial |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf (Adobe® Reader®) |
| Province | Canada; British Columbia; Alberta; Saskatchewan; Manitoba; Ontario; Quebec; New Brunswick; Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Northwest Territories; Yukon; Nunavut |
| NTS | 1; 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 |
| Subjects | geophysics; hydrogeology; remote sensing; satellite imagery; infrared spectral analyses; snow; ice; glaciers; mapping techniques; climate effects; time observations; Methodology; Fresh water; Climate
change; Land cover |
| Illustrations | satellite images; geoscientific sketch maps; bar graphs; time series |
| Program | Climate Change Geoscience Coastal Infrastructure |
| Released | 2018 11 05 |
| Abstract | The 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 ID | 314750 |
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