The Cold Lake Oil Sands area, Twp. 56 to 69, Rge. 1 to 11, W 4th Mer., 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. The anthropogenic footprints shapefile contains a compilation of developed and mixed developed footprint classes extracted from the land-use/land-cover classifications data from 2005 to 2013, published by Alberta Geological Survey. They can be used as a baseline for planning, managing and monitoring surface infrastructure needs and impacts.

In 2010, for the Alberta Geological Survey Saline Aquifer Mapping Project, we collected and analyzed 38 water samples from oil wells producing from geological units, including the Glauconitic, Ostracod, Ellerslie, Banff, Wabamun, Nisku, Leduc and Cooking Lake, within 100 km of Edmonton, Alberta. We analyzed filtered water samples for pH, density and specific conductance. oxygen, hydrogen and strontium isotopes. and dissolved constituents, including sodium, potassium, calcium, magnesium, barium, strontium, lithium, iron, manganese, chloride, bromide, sulphate, sulphide, silica and inorganic carbon.

In 2011, for the Alberta Geological Survey Saline Aquifer Mapping Project, we collected and analyzed 40 water samples from oil wells producing from geological units, including the Cardium, Viking, Mannville, Glauconitic, Ellerslie, Nordegg, Banff, Wabamun, Nisku and Leduc, within approximately 200 km of Edmonton, Alberta. We analyzed filtered water samples for pH, density and specific conductance. oxygen, hydrogen and strontium isotopes. and dissolved constituents, including sodium, potassium, calcium, magnesium, barium, strontium, lithium, chloride, bromide, sulphate, sulphide, silica and inorganic carbon.

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 2008 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.

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 2007 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.

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 dataset 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. Landsat multispectral imagery for 2012 and 2013 and Land Use and Land Cover (LULC) classification data derived from 2013 were used to produce this dataset. The LULC changes include vegetation loss from anthropogenic disturbances, such as infrastructure related to oil and gas exploration, forestry and agriculture, and vegetation recovery from these disturbances. This digital data release contains the vegetation recovery data, classified into 6 classes: 1 - shrub land, 2 - grassland, 3 - agricultural areas, 4 - coniferous forest, 5 - broadleaf forest and 6 - mixed forest.

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 dataset 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. For this digital data release, a land use and land cover classification dataset was derived from 2005 Landsat multispectral imagery for the PBR pilot area. The classification contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 4 - mixed developed areas, 5 - developed areas, 6 - shoal, 7 - shrub land, 8 - grassland, 9 - agriculture areas, 10 - coniferous forest, 11 - broadleaf forest, and 12 - mixed forest. These categories can be used as baseline data for planning, managing and monitoring surface infrastructure needs and impacts.

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 dataset 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. Landsat multispectral imagery for 2011 and 2012 and land use and land cover classification data derived from 2012 were used to produce this dataset. The land use and land cover changes include vegetation loss from anthropogenic disturbances, such as infrastructure related to oil and gas exploration, forestry and agriculture, and vegetation recovery from these disturbances. This digital data release contains the vegetation loss data, classified into 9 classes: 1 - exposed land/cut blocks/harvested areas, 3 - transitional bare surfaces, 4 - mixed developed areas, 5 - developed areas, 6 - shoal, 7 - shrub land, 8 - grassland and 9 - agricultural areas. These categories can be used as baseline data for planning, managing and monitoring surface infrastructure needs and impacts.

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 dataset 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. For this digital data release, a land use and land cover classification dataset was derived from 2005 Landsat multispectral imagery for the PBR pilot area. The classification contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 4 - mixed developed areas, 5 - developed areas, 6 - shoal, 7 - shrub land, 8 - grassland, 9 - agriculture areas, 10 - coniferous forest, 11 - broadleaf forest, and 12 - mixed forest. These categories can be used as baseline data for planning, managing and monitoring surface infrastructure needs and impacts.

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.