This data set is a GIS version of the surficial geology lithologic contacts for the Bitumount area Alberta (NTS74E), as mapped at 1:250,000 scale by L.A.Bayrock.

This dataset is a GIS version of the surficial geology drumlin features for the Fort Chipewyan area, Alberta (NTS74L), as mapped at 1:250,000 scale by L.A Bayrock (Alberta Geological Survey Map 141).

This data set is a GIS version of the surficial geology areal features' outlines, i.e., map unit contacts, for the Waterways area Alberta (NTS74D), as mapped at 1:250,000 scale by L.A.Bayrock.

Ecological Land Classification (ELC) is an approach which endeavours to subdivide the landscape into significant ecological units and to organize complex interrelationships into identified geographical areas with similar properties. It is a hierarchical system that captures information at the following scales as per the Ecological Land Classification and Evaluation Reference Manual (1980): Ecoprovince - >1:3 000 000 Ecoregion - 1:1 000 000 - 1:3 000 000 Ecodistrict - 1:250 000 - 1:1 000 000 Ecosection - 1:100 000 - 1:250 000 Ecosite - 1:10 000 - 1:20 000 Ecoelement - 1:1 000 - 1:5 000. Note that the upper two levels are referred to as Natural Region and Natural Subregion in the more recent Ecological Land Classification reports. There are also some variations in this hierarchy for individual study areas. The data is available as TIFF image files packaged together with the reports and other supporting documents divided alphabetically.

This GIS dataset is a GIS version of AGS Map 178, polygon features, as mapped at 1:250,000-scale by Fenton and Andriashek. Digitizing was originally done by Prairie Farm Rehabilitation Administration (PFRA). The data were supplied to AGS by PFRA in Arc/Info coverage format (map polygon features only). Data were subsequently checked and edited by AGS.

This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. The Alberta Ground Cover Classification Mosaic is a land cover dataset for the province of Alberta. It is a composite of the Alberta Ground Cover Classification (AGCC) created by Alberta Environment and Sustainable Resource Development for the green areas of the province and the Land Cover for Agricultural Regions of Canada, circa 2000 created by Agriculture and Agri-Food Canada for the white areas of the province.

The data represents the occurrence of saline soils in the agricultural area of Alberta. A Saline Soils is a non-alkali (pH less than 8.5 and exchangeable-sodium less than 15%) soil containing soluble salts in great enough quantities that they interfere with the growth of most crop plants. This resource was created in 2002 using ArcGIS.

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 18 of the Atlas, Jurassic and Lowermost Cretaceous Strata of the Western Canada Sedimentary Basin, Figure 17, Jurassic Structure. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

This map displays the risk of soil degradation by water in the agricultural region of Alberta. Water erosion is a concern because it reduces soil quality by removing soil particles and nutrients, and reduces water quality if these particles are carried into nearby water bodies. The map uses five classes to describe the water erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe.This resource was created using ArcGIS, originally published as a print map in 1993 .

This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. Physical Land Classification (PLC) is a mapping system that was designed to describe the landscape in terms of landform, soils, drainage and slope. It is a hierarchical system that captures physiographic information at the following levels: Region - 1:3 000 000 or smaller Section - 1:1 000 000 to 1:3 000 000 District - 1:500 000 to 1:1 000 000 Geomorphic System - 1:100 000 (can range from 1:50 000 to 1:250 000) Geomorphic Unit - 1:10 000 to 1:50 000 There are some variations in this hierarchy for individual study areas. The Land Classification Group (Resource Inventory Section), Alberta Energy and Natural Resources, adopted the initial Physical Land Classification methodology in 1977 to meet the needs of resource planning and management agencies. Many aspects of the methodology were developed from landform mapping schemes used by the System of Soil Classification for Canada (1976). The PLC system is essentially a geomorphic interpretation and classification system based on the principles of the inherent properties of the land and its forms. Physical Land Classification (PLC) maps have been created largely during the 1980s and 1990s as part of a program to acquire background information for Integrated Resource Plans along the eastern slopes and across northern Alberta. The data were generally mapped at the geomorphic unit level using the 1:50 000 scale National Topographic System maps as a base. The PLC hardcopy maps were scanned, georeferenced, rectified, cleaned, vectorized, merged and attributed to form GIS polygons. The polygons are attributed for parent geologic material, landform / surface expression, modifying process, slope, texture, soil taxonomy and soil drainage. This classification system was designed to enhance and replace the Canada Land Inventory (CLI) and Alberta Landform Inventory (ALI) Landform classification systems. There is more attribution associated with PLC mapping than with ALI / CLI Landform mapping. There is some overlap with the ALI / CLI Landform maps but much of the PLC mapping was conducted in areas not covered by ALI / CLI Landform maps. PLC mapping is considered to be more reliable than ALI / CLI Landform mapping as field checking was more extensive.