Water Stewardship Division, Water Management administrative areas. Water Districts are jurisdictional areas established by the WATER REGULATIONS

The Non-Permit Area dataset is comprised of all the polygons that represent Non-Permit Areas in Alberta. The Non-Permit Areas are delineated areas where burning permits are not required by clients.

Monthly 30-year Average Mean Temperature represents the average monthly mean temperature calculated at a given location averaged across a 30 year period (1961-1991, 1971-2000, 1981-2010, 1991-2020). These values are calculated across Canada in 10x10 km cells.

Locations of automated snow weather stations, active and inactive. Automated snow weather stations are components of the BC snow survey network.

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 depth to top.

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 Drumheller Coal Zone depth to top.

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

Areas where farms with a high odor load are prohibited in the City of Trois-Rivières**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Over the last year, Statistics Canada (StatCan) and Canada Mortgage and Housing Corporation (CMHC) have collaborated on the implementation of a set of proximity measures to services and amenities. CMHC funded this collaboration to generate data and analytical work in support of the National Housing Strategy. The result of this collaboration is the first nation-wide Proximity Measures Database (PMD). This database is now available as an early release to meet urgent information needs of departments and other stakeholders across Canada who are dealing with the COVID-19 crisis. The current situation involving COVID-19 emphasizes the importance of having timely and accessible information available to the public at all levels of government. Proximity measures developed for this project are relevant to the current situation by providing a wealth of information (at the granular level) in terms of proximity to health facilities, pharmacies and other essential services/amenities that can be used to make rapid informed decisions at different geographical levels. WARNING: This map contains detailed data which makes it heavy to load. To improve loading time, please uncheck the "Proximity measures" group from legend at loading, then load only the desired thematic.

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 2009 and 2010 and Land Use and Land Cover (LULC) classification data derived from 2010 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.