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Found 10 records similar to Ontario Digital Elevation Model (Imagery-Derived)

Provincial

The Ontario Digital Surface Model (Imagery-Derived) is a raster elevation product that was generated from the elevation point clouds created via pixel-correlation from aerial photography. A DSM is the highest reflective surface of features captured by the sensor. This surface is also referred to as the first reflective surface. The DSM may include: * treetops * rooftops and tops of towers * telephone poles * other natural or artificial features * ground surface if there is no vegetative ground cover This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

Last Updated: Mar. 29, 2022
Date Published: Oct. 20, 2020
Organization: Government of Ontario
Formats: PDF HTML other ZIP
Keywords:  Environment and Natural Resources, Government information
Provincial

The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m. This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies. This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model. Official LIO title: Greater Toronto Area digital elevation model 2002 *[DEM]: Digital Elevation Model

Last Updated: Mar. 29, 2022
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: DOCX HTML other ZIP
Keywords:  Economy and Business, Environment and Natural Resources, Environment and energy, Government information
Municipal
Level curves with an equidistance of 1 m, derived from a lidar survey conducted in 2015* SUBTYPE: Master (1) or secondary (2) level curve* RATING: Elevation value (m) Digital elevation model (DEM) generated from a lidar survey conducted in 2015. To download the files, visit the [Open Government] website (https://ouvert.canada.ca/data/fr/dataset/957782bf - 847c-4644-a757-e383c0057995).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Last Updated: May 11, 2022
Date Published: Oct. 25, 2018
Organization: Government and Municipalities of Québec
Formats: ZIP KML GEOJSON HTML CSV ESRI REST
Keywords:  Environment, Municipal, Sherbrooke, Topography, Government information
Federal

This is a legacy product that is no longer supported. It may not meet current government standards. Canada3D is a digital elevation model (DEM) produced by the Canadian Forestry Service, Ontario region. The DEM consists of an ordered array of ground elevations providing coverage of the Canadian landmass.

Last Updated: Jan. 27, 2022
Date Published: Jan. 1, 2002
Organization: Natural Resources Canada
Formats: PDF ASCII Grid
Keywords:  DEM, Elevation, Elevation model, Geographic information systems, Earth sciences, Geomatics, Topography
Provincial

LiDAR Derived Digital Elevation Models available at a 1m resolution in New Brunswick Stereographic Double Projection (NBSDP). LiDAR Derived Digital Elevation Models and Digital Surface Models available at 1m or 2m resolutions from NRCAN in Universal Transverse Mercator (UTM).

Last Updated: Mar. 29, 2022
Date Published: Aug. 24, 2019
Organization: Government of New Brunswick
Formats: GIF HTML
Keywords:  map, geonb, elevation, raster image, image raster, lidar, Government information
Provincial

Digital Elevation Model (DEM) for British Columbia produced by GeoBC. This data is the TRIM DEM converted to the Canadian Digital Elevation Data (CDED)format. The data consists of an ordered array of ground or reflective surface elevations, recorded in metres, at regularly spaced intervals. The spacing of the grid points is .75 arc seconds north/south.

Last Updated: Dec. 9, 2020
Date Published: Feb. 20, 2012
Organization: Government of British Columbia
Formats: HTML ZIP
Keywords:  CDED, DEM, Government information
Provincial

This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. Riparian areas consist of the lands adjacent to streams, rivers, wetlands and lakes that are strongly influenced by the presence of water. They are often distinct from the surrounding landscape as the vegetation growth is very lush.

Last Updated: Apr. 13, 2022
Date Published: Oct. 31, 2011
Organization: Government of Alberta
Formats: XML HTML other
Keywords:  alberta, aquatic, biota, drainage, ecology, flood, habitat, inlandwaters, laipr
Provincial

This data was produced under contract for Alberta Agriculture and Forestry, Forest Management Branch in 2015-2016. Variables used were elevation, aspect, slope, landscape mesotopography (e.g. ridge, upper slope, etc). DEM was used where there was no LiDAR coverage, with a resolution of 25 m2 pixels.

Last Updated: Apr. 13, 2022
Date Published: Feb. 7, 2017
Organization: Government of Alberta
Formats: XML HTML other ZIP
Keywords:  biota, dem, digital elevation model, downloadable data, environment, habitat suitability model, limber pine, predictive, Government information
Provincial

This data was produced under contract for Alberta Agriculture and Forestry, Forest Management Branch in 2015-2016. Variables used were elevation, aspect, slope, landscape mesotopography (e.g. ridge, upper slope, etc). DEM was used where there was no LiDAR coverage, with a resolution of 25 m2 pixels.

Last Updated: Apr. 13, 2022
Date Published: Feb. 7, 2017
Organization: Government of Alberta
Formats: XML HTML other ZIP
Keywords:  biota, dem, digital elevation model, downloadable data, elevation, environment, habitat suitability model, predictive, whitebark pine
Federal

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).

Last Updated: Jul. 27, 2021
Date Published: Apr. 27, 2018
Organization: Agriculture and Agri-Food Canada
Formats: PDF TIFF
Keywords:  Erosion, Drainage
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