A set of raw ASCII text files that represent Calgary Transit's published schedule and routing information. This data is provided based on the General Transit Feed Specification Reference.
See GTFS Schedule Reference for more information.

Calgary Transit realtime data updated every 30 seconds. Visit the Google Transit API page for more information on the GTFS-RT specification and the feed entities (Trip Updates, Service Alerts and Vehicle Positions). Also, see Service Updates.

Calgary Transit realtime data updated every 30 seconds. Visit the Google Transit API page for more information on the GTFS-RT specification and the feed entities (Trip Updates, Service Alerts and Vehicle Positions). Also, see Service Updates.

Calgary Transit realtime data updated every 30 seconds. Visit the Google Transit API page for more information on the GTFS-RT specification and the feed entities (Trip Updates, Service Alerts and Vehicle Positions). Also, see Service Updates.

A highly accurate elevation dataset of ground surface topography, derived from aerial Light Detection and Ranging (LiDAR). This 2m resolution version of the bare-Earth LiDAR DEM can be used for a wide range of applications such as 3D spatial analysis (slope calculations, profile creation, volumetric computations), engineering applications (land developments, road design, flood modelling) and 3D terrain visualizations, just to name a few. To learn more visit, https://www.calgary.ca/cs/iis/mapping-products/digital-elevation-model.html or view the attached metadata document.
DEM of 1m and 20cm resolution are also available on Cityonline.calgary.ca

The compressed file for download is ~ 0.5 GB. The uncompressed files are ~ 4 GB and in ESRI ArcGrid ASCII (.asc) file format.

Using data collected in 2012 and 2013, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures built after 2012 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 3 GB. The uncompressed files are 3.35 GB. Data is arranged in Townships, with 16 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

Using data collected in 2020, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures captured after 2020 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 362 MB. The uncompressed files are 4.46 GB. Data is arranged in Townships, with 21 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

Using data collected in 2018, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures built after 2018 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 326 MB. The uncompressed files are 3.95 GB. Data is arranged in Townships, with 21 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

Using data collected between 2012 and 2017, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures built after 2012 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 4.25 GB. The uncompressed files are 4.5 GB. Data is arranged in Townships, with 18 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

Raster data consisting of processed LANDSAT imagery for the specific dates available in the Urban Heat App. The three different datasets in each year represent Land Surface Temperature (LST, raster values in decimal degrees), NDVI (vegetation index) and Impervious (built-up or impervious index).

The rasters are all contained within a single zip file, currently 90 MB in size. The package will be updated whenever new data is processed and added to the Urban Heat app, which is expected to be annually.
The CRS is: EPSG: 32612 WGS 84/UTM 12N