Habitat Mapping and Forest Regeneration in the Oil Sands Monitoring (OSM) Region, 2025–2026
Data and Resources
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OSM Habitat Mapping_Final_Data_Report_April 2026.zip.gdb
Final report and data sets for project - Habitat Mapping and Forest...
Additional Info
| Field | Value |
|---|---|
| Alternate Title/Name | |
| Creator | Alberta Biodiversity Monitoring Institute (ABMI) |
| Contributor | OSM Integrated Geospatial Program |
| Publisher | Alberta Environment and Protected Areas |
| Subject | Terrestrial Biological Monitoring, Vegetation, Forest Regeneration, Habitat Mapping, Forestry, Biodiversity, Wildlife Habitat, Woodland Caribou, Human Footprint, Land Disturbance, Ecosystem Recovery, Restoration, Cumulative Effects |
| Group/Subgroup | Geospatial |
| Parameters | Vegetation Type, Vegetation Class, Vegetation Height, Vegetation Density, Canopy Height, Canopy Cover, Human Footprint Type, Seismic Line Location, Seismic Line Width, Linear Disturbance Length, Functional Recovery, Return to Forest Cover, Framework Recovery, Vegetation Regeneration Status |
| Data Type | Discrete, Continuous, Geospatial Vector Data (Points, Polylines, Polygons), Raster Data, LiDAR-Derived Data, Modelled Vegetation Attributes |
| Frequency | Annual Project Updates (2025–2026); Modelled Spatial Snapshot |
| Temporal Coverage Begins | 2025-04-01 |
| Temporal Coverage Ends | 2026-03-31 |
| Spatial Coverage | Oil Sands Region (OSR), Northeastern Alberta, Canada, including the Athabasca, Peace River, and Cold Lake Oil Sands Areas. |
| Spatial Projection | NAD 1983 10TM AEP Forest (EPSG:3400) |
| Usage Considerations or Constraints | The dataset provides modelled vegetation structure, composition, and regeneration information within mapped human footprint areas. It does not provide complete mapping of the entire Oil Sands Region. The 2025–2026 products integrate newly mapped areas with results from previous project years. LiDAR and aerial imagery were acquired at different times and from multiple sources, and vegetation conditions may not represent a single observation date across the entire dataset. Vegetation classification and recovery metrics were generated using machine learning and LiDAR-derived measurements and are subject to classification uncertainty. The vegetation classification model achieved approximately 74% overall accuracy, with varying accuracy across vegetation classes. Seismic line and trail boundaries were delineated using the semi-automated Seismic Shift workflow and manual interpretation. Estimated disturbance widths and feature boundaries may differ from the original ABMI Human Footprint Inventory. The recovery metrics represent structural and functional indicators of vegetation regeneration and should not be interpreted as confirmation of complete ecological recovery or regulatory reclamation. Users should consider imagery acquisition dates, input data quality, model assumptions, vegetation classification accuracy, and differences in processing methods when comparing mapped areas. Some input LiDAR and aerial imagery were supplied by external organizations. Redistribution permissions should be verified before sharing underlying source data. Users should consult the accompanying ABMI technical report for detailed methods, quality control procedures, model validation, and interpretation guidance. |
| Source/Citation | Alberta Biodiversity Monitoring Institute. (2026). (2026). Habitat Mapping of Forest Regeneration: 2025–26 Technical Report for the Oil Sands Monitoring Program. Alberta Biodiversity Monitoring Institute, Alberta, Canada. |
| Relation | |
| Extent | |
| Format | .gdb |
| Resource Type | Geodatabase |
| Language | English |
| OSM Asset? | Yes |
| Contact Email | [email protected] |