Atlas of Canada National Scale Data – Annual Minimum Snow and Ice (MSI) Extent Time Series
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. 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 Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application.
VECTOR DATASET
The vector dataset has been generalized to display at the scale of 1:1,000,000.
TIME-SERIES ANIMATION APPLICATION
The time-series animation application has not been generalized from its original scale (250 m pixels).
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. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS).
CREDIT
Source data provided by Alexander P. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada
Metadata record: https://open.canada.ca/data/en/dataset/808b84a1-6356-4103-a8e9-db46d5c20fcf
Metadata
Date Created
2021-02
Date Published
2021-05
Temporal Coverage
2000-04 - 2023-08
Access in last 30 days
194
All time access
904
Source(s) and Citation
Government of Canada; Natural Resources Canada; Strategic Policy and Innovation Sector. (2021-05). Atlas of Canada National Scale Data – Annual Minimum Snow and Ice (MSI) Extent Time Series. Government of Canada; Natural Resources Canada; Strategic Policy and Innovation Sector.
Use Limitations
Map
Data resources
Resources
Select Category
Data resources
MSI vectors 2000-2019 Download ZIP (gdb, shp) through HTTP
Type:
Dataset
Format:
ZIP
Languages:
English, French
Initial validation of Randolph Glacier inventory: version 5.0 data over Canada using 250 m MODIS-derived annual minimum snow/ice extent (English only)
Type:
Supporting Document
Format:
Languages:
English
SpatioTemporal Asset Catalog (STAC) Application Programming Interface (API)
Type:
API
Format:
JSON
Languages:
Not available
Probability of permanent snow and ice (94% or more)
Type:
Web Service
Format:
WMS
Languages:
English
Related keywords
snow cover, ice cover, climate change, ice, snow, ice caps, glaciers
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