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Warm Season Snow/Ice Probability Maps from MODIS and VIIRS Sensors over Canada

机译:来自加拿大的MODIS和VIIRS传感器的暖季雪/冰概率图

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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.
机译:描述了由MODIS和VIIRS传感器在加拿大遥感中心(CCRS)绘制冰雪概率图的过程。自2000年以来,每个暖季(4月至9月)在覆盖加拿大及周边地区的北纬250m空间分辨率下生成时间序列。这些数据对于表征对气候变化非常敏感的淡水资源(例如雪和陆冰)非常有用。将CCRS数据与几种土地覆盖方案进行比较后发现,永久性冰雪覆盖范围存在较大差异,在加拿大北极地区可以达到近200%。 CCRS结果与Randolph冰川清单(RGI)非常一致,可用于RGI验证和更新。数据可从加拿大联邦地理空间平台(FGP)数据档案库中公开获得。

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