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 Lethbridge Coal Zone's thickness isopach.

Spatially identified and mapped legal objective lines as determined from strategic land and resource planning processes in the province of British Columbia. Legal objectives can encompass objectives developed and grandfathered under now repealed Forest Practices Code legislation (including Higher level Plans), as well as new and existing objectives developed through the Land Use Objectives Regulation and the Land Act to support FRPA implementation. This layer contains line features. The Strategic Land and Resource Planning documents can be accessed [here](https://www2.gov.bc.ca/gov/content/industry/crown-land-water/land-use-planning/regions). Current SLRP legal objective lines are included in this layer. For all SLRP legal objective points (retired and current), please see the layer [Legal Planning Objectives - All - Line](https://catalogue.data.gov.bc.ca/dataset/b648ac2d-6a9a-426c-9dcd-39ec188d7f36).

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 net coal thickness.

30-year Average Number of Days with Temperature above 25 °C are defined as the count of the number of climate days during the month where the maximum daily temperature was greater than 25 °C. These values are calculated across Canada in 10x10 km cells.

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 Carbon Thompson Coal Zone's vitrinite reflectance measurements.

Wetlands in the City of Trois-Rivières**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Itcha Ilgachuz Caribou Habitat Area (IICHA) and associated quadrants were developed as a part of the 2002 Northern Caribou Strategy, with revisions in 2011. The boundary is based on caribou telemetry to 2011, and is used to form the outer boundary of the quadrants that are used to help determine the rate of cut within WHA 5-086.

The Geographic Feature Code Catalogue contains codes and definitions for geographic features captured and mapped by various BC Government Ministries, which are responsible for their definitions. These codes (fcodes) are embedded into geographic data to mark them, as an aid to integrating data from many sources. (WHSE_CORP.CORP_FEATURES)

The coal zone boundary for the Taber Coal Zone is based on subcrops generated by Alberta Geological Survey Special Report 007 (Regional Evaluation of the Coalbed Methane Potential in the Plains and Foothills of Alberta, Stratigraphy and Rank Study). We used additional coal picks from various sources to refine the boundary.

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 2006 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.