Boreal Peatland Probability
The Boreal Peatland probability data set is a raster based product which describes the probability of peatland habitat at a 10 m resolution across Alberta's Boreal Forest Natural Region.
The Boreal Peatland probability dataset was generated using a machine learning framework in R statistical software. The machine learning model was based off of a Digital Elevation Model (DEM), optical satellite data (Sentinel-2), and Synthetic Aperture Radar data (SAR; Sentinel-1). The model was trained with ABMI 3x7 land cover photo-plots which are derived from high resolution 3D image interpretation and give detailed attribution of land cover information.
Overall, the resulting product correctly identifies peatlands and non-peatlands with an accuracy of 86%. This data set is based on fully open source data and processing software. An alternative data set was produced with proprietary LiDAR data but this product is not yet shareable. For more detail on the technical methodology please refer to the Boreal Wetland probability – technical documentation under the Boreal wetland probability dataset.
DeLancey, E.R., Kariyeva, J., Bried, J.T., Hird, J.N. 2018. "Large-Scale Probabilistic Identification of Northern Peatlands using Google Earth Engine, Open-Access Satellite Data, and Machine Learning."
In prep. Hird, J., DeLancey, E.R., McDermid, G.J., and Kariyeva, J. 2017. “Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping.” Remote Sensing, Vol. 9 (No.12): pp. 1315.
- Species & Habitat Raw Data
- GIS Data: Land Surface
- Wall-to-Wall Human Footprint Inventory
- Wall-to-wall Land Cover Inventory
- 3 x 7-km Photoplot Land Cover Data
- 3 x 7-km Sample-based Human Footprint Data
- Predictive Landcover
- Boreal Fen Probability
- Boreal Peatland Probability
- Boreal Surface Water Inventory
- Boreal Wetland Probability Data
- Detailed Vegetation Maps
- Hydro Temporal Variability
- Native Vegetation Edge
- Native Vegetation Mesh Size
- Vegetation Greenness
- GIS Data: Biogeoclimatic Layers
- Satellite & Aerial Data
- GIS Data: Biodiversity
- Species-level Data Sets
- Other Data Sets