The Cold Lake oil sands area, Township 56 to 69, Range 1 to 11, west of the 4th Meridian, falls within the Lower Athabasca Regional Plan (LARP). As part of Alberta's Land-use Framework, LARP was developed in 2012 to set the stage for robust growth, vibrant communities and a healthy environment within the region. One of its implementation objectives is to balance the economic development of oil sands and impacts on ecosystem and environment. This is to be achieved through enhanced science-based monitoring for improved characterization of the environment and collection of the information necessary to understand cumulative effects. This land classification raster dataset is derived from 2009 Landsat imagery. It contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 5 - mixed developed areas, 6 - developed areas, 7- shoal, 8 - shrub land, 9 - grassland, 10 - agriculture areas, 11 - coniferous forest, 12 - broad leaf forest, 13 - mixed forest, and 14- fire scar.

The data, created in ArcGIS, represents an assessment of air quality risk for the agricultural area of Alberta in 2005. Agricultural activities that may have some influence on air quality manure production (odour) and cultivation intensity (particulate matter). The airsheds of the agricultural region of Alberta are considered to be uniform in their physical susceptibility to risk from agricultural activities. Air quality risk is a useful measure for those concerned about health, safety and nuisance issues related the quality of air in agricultural areas. Awareness of where agricultural activities related to livestock production and intensive cultivation are located, may be useful for people with health or nuisance related concerns. Blowing soil can cause respiratory problems and can reduce visibility on roads and highways. Dust from farm traffic can be a concern during peak agricultural activity, such as harvesting or manure hauling. Frequent strong odours can be unpleasant nuisance for neighbours. In areas of greater air quality risk, environmental farm planning can help to address the issues and provide solutions. Practices including pen/barn maintenance, method of manure application, manure storage, composting, adjusting, feed rations and reducing or eliminating tillage can be looked at in an environmental farm plan.

This GIS dataset portrays the distribution of glacial landforms in Alberta, based on the compilation of existing government survey mapping and research literature, supplemented by new analysis of remote sensing data. It is the dataset that was used to create Alberta Geological Survey Map 604 (Glacial Landforms of Alberta) using an intermediate step of reducing the density of closely spaced line segments to make the features suitable for map production at 1:1 000 000 scale. This dataset contains the original line features without any cartographic generalization. The data were created in geodatabase format and output for public distribution in shapefile format.

30-year Average Dry Day Count is defined as the count of the average number of climate days which received less than 0.5 mm of precipitation during the calendar month. These values are calculated across Canada in 10x10 km cells, and are based on average precipitation amounts over a 30-year period (1961-1990, 1971-2000, 1981-2010, 1991-2020). These values are calculated across Canada in 10x10 km cells.

This digital data release includes Rock Eval and total organic carbon results of selected samples for analyses of shale gas, oil and liquids. The strata evaluated include the: - basal Banff Formation, - Colorado Group, - Duvernay Formation, - Exshaw Formation, - Montney Formation, - Muskwa Formation, - Nordegg Member, and - Rierdon Formation.

The Base Features Access Powerline spatial layer is the authoritative source of powerline data for the province of Alberta. It is a part of the Access data collection which also includes railways, roads, cutlines and trails, and industrial facilities.

This layer contains point representation of railway stations and bridges along the Alberta railway network.

The Cold Lake oil sands area, Township 56 to 69, Range 1 to 11, west of the 4th Meridian, falls within the Lower Athabasca Regional Plan (LARP). As part of Alberta's Land-use Framework, LARP was developed in 2012 to set the stage for robust growth, vibrant communities and a healthy environment within the region. One of its implementation objectives is to balance the economic development of oil sands and impacts on ecosystem and environment. This is to be achieved through enhanced science-based monitoring for improved characterization of the environment and collection of the information necessary to understand cumulative effects. This land classification raster dataset is derived from 2008 Landsat imagery. It contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 5 - mixed developed areas, 6 - developed areas, 7- shoal, 8 - shrub land, 9 - grassland, 10 - agriculture areas, 11 - coniferous forest, 12 - broad leaf forest, 13 - mixed forest, and 14- fire scar.

First Fall Frost (-4 °C) is defined as the average day, during the second half of the year, of the first occurrence of a minimum temperature at or below -4 °C. These values are calculated across Canada in 10x10 km cells.

In 2014, the Alberta Energy Regulator (AER) initiated a Play-Based Regulation (PBR) pilot project as a step towards implementation of the Unconventional Regulatory Framework. One of the goals of the PBR pilot is to encourage companies in the unconventional play area to work together on plans for surface development to minimize the numbers of facilities and surface impacts. This data set is one of a series created using earth observation imagery to assess surface change caused by energy exploration. The PBR area extends from Twp. 52, Rge. 7, W 5th Mer. to Twp. 70, Rge. 5, W 6th Mer., covering the towns of Edson, Fox Creek, Mayerthorpe, Whitecourt, Swan Hills, and Valleyview. This quality evaluation dataset was produced for 2009 Landsat data to identify possible misclassified areas due to sensor noise, cloud, haze, and cloud shadow. These areas are assigned to 'bad pixels' or value '1' in the quality evaluation dataset.