Boreal Surface Water Inventory
The Boreal Surface Water Inventory is a data set which gives the location, extent, and attributes of 421,348 waterbodies across the Alberta Boreal Forest Natural Region.
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Overview
The shape and extent of the surface water polygons were derived from a machine learning algorithm used to identify surface water. The algorithm was based on raster inputs from the Sentinel-1 and -2 satellites. The machine learning algorithm was able to identify surface water with an accuracy 99.6%. When each pixel was classified into water or land the water pixels were converted to polygons. These polygons were then cleaned and attributed with: names, permanent/recurring, depth, and volume. For more detail on the methodology please refer to the Boreal Surface water inventory – technical documentation (available for download below).
Boreal Surface Water Inventory
References
DeLancey, E.R., Kariyeva, J., Cranston, J., and Brisco, B. 2018. “Monitoring hydro temporal variability in Alberta, Canada with multi-temporal Sentinel-1 SAR data.” Canadian Journal of Remote Sensing, Vol. 44(No.1): pp. 1-10.
Messager, M.L., Lehner, B. Grill, G., Nedeva, I, and Schmitt, O. 2016. “Estimating the volume and age of water stored in global lakes using a geo-statistical approach.” Nature Communications, Vol. 7: pp. 1-11.
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Data Download
- Overview
- Species & Habitat Raw Data
- Human Footprint Products
- Lidar Products
- ABMI GitHub
- Advanced Landcover Prediction & Habitat Assessment (ALPHA) Products
- ABMI Wetland Inventory
- Photoplot Land Cover Data - Training & Validation
- Boreal Surface Water Inventory
- Boreal Wetland Probability Data
- Hydro Temporal Variability
- Other Geospatial Land Surface Data
- GIS Data: Biodiversity
- Species-level Data Sets
- Remote Camera Mammal Data
- Rare Species Data
- Data Archive