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Found 10 records similar to Ontario radar digital surface model (FL)

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: Nov. 10, 2022
Date Published: Oct. 20, 2020
Organization: Government of Ontario
Formats: PDF HTML ZIP
Keywords:  Environment and Natural Resources, Government information
Provincial

The Ontario Digital Surface Model (DSM) (Lidar-Derived) Land Information Ontario dataset is a raster product that provides a representation of both surface and ground features derived from a classified lidar point cloud. 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 The DSM data is available in 1 km by 1 km non-overlapping tiles grouped into packages for download.

Last Updated: Nov. 10, 2022
Date Published: Oct. 20, 2020
Organization: Government of Ontario
Formats: HTML ZIP
Keywords:  Environment and Natural Resources, Government information
Provincial

Designed to represent true ground and bathymetric elevation, this DEM covers two sections of the Greater Toronto Area (GTA) along the western shoreline of Lake Ontario: * Hamilton in the west to Niagara-on-the-Lake in the east * Scarborough in the west to Port Hope in the east *[DEM]: digital elevation model

Last Updated: Nov. 10, 2022
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: HTML ZIP
Keywords:  Economy and Business, Environment and Natural Resources, Environment and energy, Government information
Federal

The High Resolution Digital Elevation Model Mosaic provides a unique and continuous representation of the high resolution elevation data available across the country. The High Resolution Digital Elevation Model (HRDEM) product used is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The mosaic is available for both the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) from web mapping services. It is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan.

Last Updated: Jun. 25, 2022
Date Published: Jun. 22, 2022
Organization: Natural Resources Canada
Formats: WMS PDF WCS FGDB/GDB HTML
Keywords:  Digital Elevation Model, Digital Surface Model, Digital Terrain Model, LiDAR, Shaded Relief, Color Shaded Relief, Slope Map, Aspect Map, Mosaic
Federal

The 1 cm resolution digital surface model (DSM) was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The DSM covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research.

Last Updated: Feb. 26, 2022
Date Published: Feb. 3, 2017
Organization: Natural Resources Canada
Formats: WMS TIFF
Keywords:  UAV, unmanned aerial vehicle, digital surface model, DSM, northern, Remote sensing, Cartography, Geographic data, Geomatics
Federal

This is a legacy product that is no longer supported. It may not meet current government standards. The Canadian Digital Surface Model (CDSM) is part of Natural Resources Canada's altimetry system designed to better meet the users' needs for elevation data and products. The 0.75-second (~20 m) CDSM consists of a derived product from the original 1-second (30 m) Shuttle Radar Topographic Mission (SRTM) digital surface model (DSM).

Last Updated: Mar. 30, 2022
Date Published: Jan. 1, 2015
Organization: Natural Resources Canada
Formats: WMS TIFF HTML ASCII Grid GeoTIF PDF KMZ
Keywords:  Canada, Earth Sciences, elevation, relief, geomatics, GeoBase, CDSM, DEM, Geographic information systems
Federal

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps.

Last Updated: Jun. 25, 2022
Date Published: Jun. 22, 2022
Organization: Natural Resources Canada
Formats: SHP HTML GeoTIF PDF KMZ ESRI REST
Keywords:  Digital Elevation Model, Digital Surface Model, Digital Terrain Model, LiDAR, Shaded Relief, Aspect Map, Color Shaded Relief, Slope Map, ArcticSDI_DEM
Provincial

Most of these events involved community evacuations, significant structural loss and/or involvement of a Ministry of Natural Resources (MNR) Emergency Response Officer. Events include those assigned to MNR by an Order-In-Council under the Emergency Management and Civil Protection Act as well as events where MNR provided requested emergency response assistance. These events fall into one of ten type categories: * dam failure * drought /low water * erosion * flood * forest fire * soil and bedrock instability * Petroleum Resource Center event * EMO requested assistance * continuity of operations event * other requested assistance This product requires the use of GIS software. *[MNR]: Ministry of Natural Resources *[GIS]: geographic information system

Last Updated: Nov. 10, 2022
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: other HTML ZIP ESRI REST
Keywords:  Economy and Business, Environment and Natural Resources, Environment and energy, Government information
Provincial

A Ministry of Natural Resources (MNR) Road Barrier is when access to a road segment or network is restricted or controlled. Road authorities in Ontario have the mandated responsibility to construct roads or have them constructed on their behalf. They include: * Ministry of Natural Resources (resource access roads and park roads) * Municipalities * Ministry of Transportation * Ministry of Northern Development and Mines * Federal government (roads on federal lands, e.g. national parks, Dept.

Last Updated: Nov. 10, 2022
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: other HTML ZIP ESRI REST
Keywords:  Economy and Business, Environment and Natural Resources, Infrastructure and Transportation, Driving and roads, Government information
Provincial

The spatial record for all the province's geographic areas affected by provincial level, area-specific land use policy. This layer may contain geometry from the: * provincial parks-regulated layer * conservation reserves-regulated layer * natural heritage values area layer *  wilderness areas layer * crown land MNR acquisitions layer * crown land MNR unpatented layer * CLUPA geometry (enhanced management areas and general use areas) layer Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries. Official LIO title: CLUPA Provincial

Last Updated: Nov. 10, 2022
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: other HTML ZIP ESRI REST
Keywords:  Economy and Business, Environment and Natural Resources, Government, Government information
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