The “South Tobacco Creek Watershed - DEM” dataset is a digital elevation model grid generated from ASCII files. The elevation values are expressed in metres with respect to mean sea level (MSL).

LiDAR data was collected using LSI's proprietary Helix LiDAR system - Novatel GPS and SPANS inertial unit, coupled to a Riegl Q560 digital waveform ranging laser and mounted in a Cessna 185 aircraft. LiDAR was collected at 600m AGL, and a ground speed of 160km/h. Original data was in an ASCII XYZ coordinate format.

The “South Tobacco Creek Watershed – 10 cm Contours” dataset is a linear representation of the LiDAR DEM data set to the closest 0.1 meters.

Contour Lines generated from LiDAR data captured by McElhanney Consulting Services Ltd (MCSL). The contour lines connect points of equal elevation for the landscape covered by this project. For more information, visit: http://open.canada.ca/data/en/dataset/9bdc1a9c-baf7-4eb0-a532-c1057b284b8f

Lignes de courbes de niveau générés à partir des données LiDAR capturés par McElhanney Consulting Services Ltd (MCSL). Les courbes de niveau relient les points de même élévation pour le paysage visé par le projet. Pour plus d'information, consulter : http://ouvert.canada.ca/data/fr/dataset/9bdc1a9c-baf7-4eb0-a532-c1057b284b8f

Lignes de courbes de niveau générés à partir des données LiDAR capturés par McElhanney Consulting Services Ltd (MCSL). Les courbes de niveau relient les points de même élévation pour le paysage visé par le projet. Pour plus d'information, consulter : http://ouvert.canada.ca/data/fr/dataset/9bdc1a9c-baf7-4eb0-a532-c1057b284b8f

Contour Lines generated from LiDAR data captured by McElhanney Consulting Services Ltd (MCSL). The contour lines connect points of equal elevation for the landscape covered by this project. For more information, visit: http://open.canada.ca/data/en/dataset/9bdc1a9c-baf7-4eb0-a532-c1057b284b8f

The “Major Basins of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing polygon features representing the 23 major basins of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. The Project is subdivided by ‘incremental gross drainage areas’ associated to individual hydrometric gauging stations. The maximum area that could contribute runoff to each gauging station, less that of its upstream neighbour(s) is called an ‘incremental gross drainage area’. Conceptually, the major basins are collections of the “incremental gross drainage areas” associated with particular major river or lake reach (for example, reaches of the Saskatchewan or Athabasca River). In practice, each major basin consists of the collection of incremental gross drainage areas, whose gauging stations’ numbers have collections of the same three first characters. For example, the Assiniboine River major basin contains the incremental gross drainage areas whose gauging station numbers start with 05J, 05M, or 05N.

The “Major Drainage Systems of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing polygon features representing the three (3) major drainage system basins of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. The Project area has been split according into which body of water it drains: the Arctic Ocean, Hudson Bay or Gulf of Mexico.

McElhanney Consulting Services Ltd (MCSL) has performed a LiDAR and Imagery survey in southern Saskatchewan. The purpose was to generate DEMs for hydraulic modeling of floodplain, digital terrain maps, and other products for portions of the Swift Current Creek valley and other miscellaneous tributaries and related water course valleys in and around the City of Swift Current. The acquisition was completed between the 16th and 25th of October, 2009. The survey consisted of approximately 790 square kilometers of coverage. While collecting the LiDAR data, we also acquired aerial photo in RGB and NIR modes consisting of 1649 frames each. In addition to the main area of interest, McElhanney has acquired some LiDAR and photo of low lying areas adjacent to the project area. This additional area was acquired on speculation that the data may be required in the future. The 3Dimensional laser returns (point cloud) were classified using Microstation (v8), Terrascan and TerraModeler. A series of algorithms based on topography were created to separate laser returns that hit the ground from the ones that hit objects above the ground. Steps taken are: Classified LiDAR surface as Bare earth, Classified other features as non-bare earth or default, Formatted to ASPRS .LAS V1.1 (Class 1 - Default (non-bare earth), Class 2 – Ground points (bare earth)), 239 tiles each 2km x2km generated for LiDAR data, File prefix FF – Classified (Non-Bare Earth and Bare Earth), File Prefix BE – Bare Earth only, Bare Earth Model Key Point (MKPts) surface files are thinned Bare earth LiDAR points. MKPts files generate a virtually identical surface without the large file size, MKPts file format is ASCII (Easting Northing Z-elevation) xyz and LAS format.