TRICHTCHENKO, A.P., 2016: Probability maps of the annual minimum snow and ice (MSI) presence over April,1 to September, 20 period since 2000 derived from MODIS 250m imagery over Canada and neighbouring regions. The minimum snow and ice extent can be derived from the probability map by applying a certain threshold. The presence of snow or ice is determined for each pixel of the image based on snow/ice scene identification procedure and the probability if computed for the entire warm season as a ratio of number of snow/ice flags to the total number of pixels available (=< 17). Data from Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra satellite for the period since 2000 have been processed with the special technology developed at the Canada Centre for Remote Sensing (CCRS) as described in Trishchenko, 2016 Trishchenko et al., 2016 2009, 2006, Khlopenkov and Trishchenko, 2008, Luo et al., 2008. The MSI probability is derived from sequence of seventeen 10-day clear-sky composites corresponding to April, 1 to September, 20 warm period for each year since 2000. Their minimum spatial extent here referred to as annual minimum snow/ice (MSI) cover, plays a very important role as an indicator of long-term changes and baseline capacity for surface water storage. Snow and ice are important hydrological resources. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS). These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The application is disseminated through the Data Cube Platform, implemented by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada using geospatial big data management techniques. The time-series animation application has not been generalized from its original scale (250 m pixels). The vector dataset has been generalized to display at the scale of 1:1,000,000. The Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application. The data sets were derived from research published by the Canada Centre for Remote Sensing which classified satellite imagery over Canada and neighbouring regions for the continued presence or absence of snow and ice from April 1 to September 20 each year.

The Annual Minimum Snow and Ice (MSI) Extent of the Atlas of Canada National Scale Data, are data sets compiled containing annual data from 2000 to present. Government of Canada Natural Resources Canada Strategic Policy and Innovation Sector, Canada Centre for Mapping and Earth Observation, Canada Centre for Remote Sensing (1).Government of Canada Natural Resources Canada Canadian Forest Service (1).Government of Canada Natural Resources Canada Strategic Policy and Innovation Sector (1).

Climatology, meteorology, atmosphere (2).

Glims and nsidc