Six snow-years from 2018-2019 to 2023-2024 are covered by this dataset of annual snow dynamics metrics for all of Canada at 30-meter resolution. It was produced by Natural Resources Canada using Landsat and Sentinel-2 satellite imagery to identify pixel-level snow status and calculate metrics like snow period start/end dates, duration, and classification. The data includes quantified uncertainty for timing-based metrics due to observation gaps from satellite orbits and cloud cover.
Use Cases
- Modeling snowmelt runoff and water resource availability based on snow cover duration and timing.
- Analyzing inter-annual variability in snow seasons across Canada based on start and end dates.
- Classifying land cover status for ecological studies based on the continuous snow or snow-free status.
- Assessing the impact of climate change on winter conditions based on multi-year snow period trends.
Strengths
- Covers six consecutive snow-years from 2018-2019 to 2023-2024.
- Provides 30-meter spatial resolution for detailed analysis across all of Canada.
- Includes quantified uncertainty metrics (e.g., startF_u, endB_u) for timing-based data.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Observations are not daily due to satellite orbit frequencies and clouds.
Provenance
- Source
- Natural Resources Canada
- Collection Method
- Algorithm applied to Landsat and Sentinel-2 satellite imagery.
- Time Range
- 2018-2019 to 2023-2024
- Freshness
- Last updated 2026-05-11 15:00:50.264444; freshness should be verified.
- Geography
- Canada