This dataset represents surface to bedrock isopach (thickness in metres) map of glacial drift for the Province of Saskatchewan at 1:1 000 000 scale.This dataset represents surface to bedrock isopach (thickness in metres) map of glacial drift at 1:1 000 000 scale. This data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

The drift thickness map of the Pelican River area (NTS 83P) shows the variation in thickness of unconsolidated sediment lying between the bedrock surface and the present-day land surface, and complements the regional drift thickness map of Alberta (Pawlowicz and Fenton, 1995). The thickness of the drift varies from less than 20 metres in uplands, such as the Pelican Mountains, to a little over 260 metres in the Wiau Valley in the northeast part of the map area. The thickest drift fills the paleovalleys containing the major valleys: the Wiau Valley and the Leismer Valley in the northeast, and the north-trending Amesbury Valley in the central portion of the area.

The drift thickness map of the Peerless Lake area (NTS 84B) shows the variation in thickness of unconsolidated sediment lying between the bedrock surface and the present-day land surface, and complements the Drift Thickness of Alberta map (Pawlowicz and Fenton, 1995). The thickness of the drift varies from locally less than 2 metres in Buffalo Head Hills to over 200 metres in the Loon River Lowland in the central part of the map area. Thick drift fills the major paleovalleys, which are the Muskwa Valley, the Red Earth Valley and Gods Valley. The drift is thinnest on the Peerless Lake Upland, the Utikuma Uplands and the Buffalo Head Hills Upland. In general the areas of thin drift correspond to areas where the bedrock topography is high. Exceptions are the hills composed of thick drift, such as the ones located south of Muskwa Lake and southwest of Peerless Lake. These features are likely hill-hole pairs produced by glaciotectonism with lakes occupying the source depressions (holes). The drift also thickens in the southwestern part of the Utikuma Uplands. Experience from more detailed investigations in eastern Alberta have shown that unmapped, narrow, deep drift-filled channels are to be expected.

This GIS dataset depicts the drift thickness of NTS map area 84M ( line features). The data are created in ArcGIS and output for public distribution in shapefile formats.

This GIS dataset depicts the drift thickness of NTS map area 84L ( line features). The data are created in ArcInfo format and output for public distribution in Arc export (E00) and shapefile formats.

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in sea ice thickness, based on an ensemble of twenty-six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in sea ice thickness is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensemble of sea ice thickness change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in sea ice thickness (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

This GIS dataset depicts the drift thickness in the Edmonton-Calgary corridor based on water-well litholog data and bedrock outcrop locations. We used well data from an internal Edmonton-Calgary corridor geological mapping database. This thickness map was generated to assist in building a geological model for the region. The sediment thickness was generated by subtracting the bedrock topography surface from the 60 m Shuttle Radar Topography Mission v. 2 digital elevation model.

This dataset is a shapefile depicting the suitability of geological setting in Alberta for waste management siting. It is derived from spatial analysis of other geological input, including: bedrock topography and morphology. occurrence of major buried drift aquifers, assumed on the basis of buried channel talwegs locations. surficial geology. bedrock geology. and, drift thickness. Areas of the province are ranked Suitable, Unsuitable or Uncertain where possible. other areas are masked by lakes or have insufficient data to rank them.

This dataset is a GIS version of part of Map 227, which is a regional synthesis of various published and unpublished maps. The data represent drift isopachs for Alberta. The southern part of Alberta, from 49 to 56 degrees north, was primarily compiled from existing 1:250,000 bedrock topography maps. The interpretation of the remaining northern portion of the province was based mostly on limited borehole data and information from existing 1:250,000 hydrogeological maps. The exposed areas represent areas where drift is absent or thin and discontinuous. Contour intervals are irregular and depend on local data density.

This map displays the distribution of organic soils in the agricultural region of Alberta. Organic soils consist of layers of material with greater than 30 percent organic matter and a total thickness of greater than 40 cm. Organic soils are generally saturated with water for most of the year unless drained. Saturation inhibits decomposition and encourages continued accumulation of organic material. Drainage of these soils can result in a rapid increase in decomposition and a reduction in the thickness of the organic material. This resource was created in 2002 using ArcGIS.