Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zone was evaluated. This record describes the Carbon Thompson coal zone's calculated gas content.

This data set is an updated, GIS version of part of the Alberta Geological Survey's published Map No. 226, which in turn is a regional synthesis of various published and unpublished maps. The data represent the locations of thalwegs (paleo-channels) incised in the bedrock surface.

Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zone was evaluated. This record describes the Mannville Coal Zone's calculated gas in place in BCF/Section.

Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zones were evaluated. This record describes the Taber Coal Zone's vitrinite reflectance.

The Fish and Wildlife Enforcement Regions dataset is comprised of the polygons representing Fish and Wildlife Enforcement Regions in Alberta. Alberta Public Safety and Emergency Services, Government of Alberta, manages the Fish and Wildlife enforcement services to provide the public and other government departments' information regarding the locations of Fish and Wildlife Enforcement Regions throughout the province.

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.

This layer represents Water Survey of Canada (WSC) and United States Geological Survey (USGS) gauge stations that meet the following criteria for inclusion: at least 10 years or data (with 350 or more days of observations) above the low outlier threshold; less than 20% (by basin drainage area) regulation; a corresponding basin polygon dataset (either supplied or delineated) with a area <15% different than the basin area reported by WSC or USGS; full metadata coverage for the basin (e.g. mean annual precipitation, elevation, etc.); and 1-, 3-, 5-, and -10 day distribution fits that did not overlap for any Average Recurrence Interval’s (ARI) above 2 years. See Bulletin 2020-1-RFFA British Columbia Extreme Flood Project – Regional Flood Frequency Analysis – Technical development report and manual to complete a regional flood frequency analysis.

Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zone was evaluated. This record describes the McKay Coal Zone's thickness isopach.

This 'Current' spatial data layer is publicly viewable and downloadable, contains the most current Legal Old Growth Management Area (OGMA) polygons and excludes any sensitive information. This data represents legally established and spatially defined areas of old growth forest that are identified during landscape unit planning or an operational planning process. Forest licensees are required to maintain legally established OGMAs when preparing FSPs. OGMAs, in combination with other areas where forestry development is prevented or constrained, are used to achieve biodiversity targets. This spatial view will show the most current polygons and excludes sensitive information. This data is viewable in iMapBC by 2 layers: Legal Old Growth Management Areas - Current, Old Growth Management Areas - Legal. Please see the Additional Information and Object Description Comments below.

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.