Remote Sensing of Environmental Change (ReSEC) Research Group,
Department of Geography and Environmental Studies, Wilfrid Laurier
University, Waterloo, N2L 3C5, Canada
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo,
N2L 3C5, Canada
Remote Sensing of Environmental Change (ReSEC) Research Group,
Department of Geography and Environmental Studies, Wilfrid Laurier
University, Waterloo, N2L 3C5, Canada
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo,
N2L 3C5, Canada
Alex MacLean
Remote Sensing of Environmental Change (ReSEC) Research Group,
Department of Geography and Environmental Studies, Wilfrid Laurier
University, Waterloo, N2L 3C5, Canada
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo,
N2L 3C5, Canada
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EndNote: 165
Views and downloads (calculated since 14 Oct 2022)
Cumulative views and downloads
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Total article views: 2,185 (including HTML, PDF, and XML)
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1,430
674
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2,185
115
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PDF: 674
XML: 81
Total: 2,185
BibTeX: 115
EndNote: 155
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577
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21
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HTML: 577
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,231 (including HTML, PDF, and XML)
Thereof 3,120 with geography defined
and 111 with unknown origin.
Total article views: 2,185 (including HTML, PDF, and XML)
Thereof 2,103 with geography defined
and 82 with unknown origin.
Total article views: 1,046 (including HTML, PDF, and XML)
Thereof 1,017 with geography defined
and 29 with unknown origin.
Collecting spatial lake snow depth data is essential for improving lake ice models. Lake ice growth is directly affected by snow on the lake. However, snow on lake ice is highly influenced by wind redistribution, making it important but challenging to measure accurately in a fast and efficient way. This study utilizes ground-penetrating radar on lakes in Canada's sub-arctic to capture spatial lake snow depth and shows success within 10 % error when compared to manual snow depth measurements.
Collecting spatial lake snow depth data is essential for improving lake ice models. Lake ice...