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.

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

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

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.

Major Drainage Areas (MDA), as portrayed in this map, are part of the Standard Drainage Area Classification (SDAC) which was developed by Natural Resources Canada, in partnership with Statistics Canada, and Environment and Climate Change Canada. A drainage area, as opposed to a drainage basin or watershed, is a unit of statistical aggregation used for reporting purposes based upon drainage patterns and the underlying basins, delimited by a drainage divide. A drainage basin, sometimes called a watershed, is an area where all surface water shares the same drainage outlet. Surface water consists of water flowing on the surface of the earth that develops into larger streams and eventually combines to form a river. The 11 MDAs presented in this map comprise the uppermost level in the drainage area classification system which then divides into 164 sub-drainage areas, and then is further divided into 974 sub-sub-drainage areas. Relief was derived from the merging of two raster data sets, both resampled to 804 metre resolution: - High Resolution Digital Elevation Model (HRDEM) – CanElevation Series - Canadian Digital Elevation Model, 1945-2011 Further information on all these maps can be found on the Atlas of Canada web site atlas.gc.ca.

The "Total Gross Drainage Areas of the AAFC Watersheds Project - 2013" dataset is a geospatial data layer containing polygon features representing the maximum area that could contribute surface runoff (total gross drainage areas) for each gauging station of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. These polygons overlap as upstream land surfaces form part of multiple downstream gauging stations’ total gross drainage areas. Drainage area includes all land whose surface runoff contributes to the same drainage outlet or gauging station. Many gauging stations share the same headwaters, thus the overlapping areas (or polygons). The majority of the drainage areas in this dataset have shared areas.

The “Sub-sub-basins of the AAFC Watersheds Project – 2013” dataset is a geospatial data layer containing polygon features representing the Standard Drainage Area Classification (SDAC) 2003 defined sub-sub-drainage areas of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. Canada has eleven major drainage areas which are divided into 164 sub-drainage areas; the 164 sub-drainage areas are then further divided into 978 sub-sub-drainage areas. All drainage areas, sub-drainage areas and sub-sub-drainage areas are named and have an identifying ‘number’. Sub-sub-drainage areas have ‘numbers’ that share a common ‘four-character’ designation. For example, the 05AB sub-sub-basin contains amongst others, station 05AB006, while the 05AC sub-sub-basin contains station 05AC007 (and others).

The “Gross and Effective Drainage Area Boundaries of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing line features representing boundaries associated with the ‘incremental gross drainage areas’ of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. The project is subdivided by hydrometric gauging station. The maximum area that could contribute runoff to each station, less that of its upstream neighbour(s) is called its ‘incremental gross drainage area’. Two types of boundary are provided: ‘gross’ and ‘effective’. ‘Gross’ boundaries separate adjacent incremental gross drainage areas. ‘Effective’ boundaries delimit, within each incremental gross drainage area, the separation between areas that supply runoff, based on average runoff, from those that don’t.