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On July 23rd Open Data consolidated 59,515 Canada Lands Survey records from Natural Resources Canada's Survey Plan Search Service into one dataset. For more information, see our blog. For questions or concerns, please contact us.

Found 10 records similar to UAV Digital Surface Model (DSM) in Cambridge Bay, Nunavut -Vegetation Plot

Federal

The 1 cm resolution vegetation digital height model was extracted using a bare earth model and digital surface model (DSM) derived from unmanned aerial vehicle (UAV) imagery acquired from a single day survey on July 28th 2016, in Cambridge Bay, Nunavut. The mapping product covers 525m2 and 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.

For more information, refer to our current Arctic vegetation research:

Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

Last Updated: Aug. 30, 2018
Date Published: Feb. 3, 2017
Organization: Natural Resources Canada
Formats: WMS TIFF
Keywords:  UAV; unmanned aerial vehicle; height model; northern; vegetation, unmanned aerial vehicle, height model, northern, vegetation, Remote sensing, Cartography, Geographic data, Geomatics
Federal

The 0.34 cm resolution orthomosaic 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 orthomosaic 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: Sep. 9, 2019
Date Published: Jan. 25, 2017
Organization: Natural Resources Canada
Formats: WMS TIFF
Keywords:  UAV, unmanned aerial vehicle, orthorectified, mosaic, northern, vegetation, Remote sensing, Cartography, Geographic data
Provincial

The Ontario Radar DSM has the following features: * source data: 1 arc second spaceborne C-Band Interferometric Synthetic Aperture Radar (IFSAR) data * MNR Lambert Conformal Conic Projection * vertical datum in both EGM96 and CGVD28, separately * elevation value: floating * local Polynomial Interpolation from vector elevation points * spatial resolution: 30 meter * asurface elevation model This product offers significant advancements in elevation data in the province. Read the details about these advancements and other technical specifications, including data processing, major spatial characteristics of the Radar DSM, and the steps to generate the Northern Ontario Radar DSM. *[MNR]: Ministry of Natural Resources *[DSM]: Digital Surface Model

Last Updated: Dec. 9, 2020
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: PDF HTML ZIP
Keywords:  Economy and Business, Environment and Natural Resources, Government, Government information
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: Nov. 24, 2021
Date Published: Jan. 1, 2015
Organization: Natural Resources Canada
Formats: WMS 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: Nov. 12, 2021
Date Published: Nov. 9, 2021
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
Federal

Commercial and exploratory fisheries for Arctic Char, Salvelinus alpinus, provide significant economic opportunities for Nunavummiut in several Nunavut communities. Having an accurate understanding of the weight of the Arctic Char that are harvested is important for tracking harvest and for understanding how biological parameters may be changing over time as a result of exploitation and/or climactic and environmental changes. Unfortunately, most fish enter the processing plants as dressed (gills and viscera removed) and therefore conversion factors have to be applied to reconcile whole (round) weight from dressed weight. Here, we provide an updated conversion factor based on linear regression for Arctic Char from the Halokvik River (locally known as 30 Mile) near the community of Cambridge Bay.

Last Updated: Dec. 9, 2020
Date Published: Jul. 28, 2020
Organization: Fisheries and Oceans Canada
Formats: PDF CSV ESRI REST
Keywords:  Fish, Aquatic Sciences, Salvelinus alpinus, Arctic Ocean, Arctic, Fisheries, Fisheries resources
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: Dec. 9, 2020
Date Published: Oct. 20, 2020
Organization: Government of Ontario
Formats: HTML ZIP
Keywords:  Données Ontario, Government information
Federal

Fish Habitat Assessment Output: 13 of 16

Average Water Level (75.0m ASL) - Juvenile/Adult Habitat - High Vegetation Association Species (All Thermal Guilds)

Habitat suitability was assessed for the Bay of Quinte Area of Concern, at a 3 m grid resolution, using the Habitat Ecosystem Assessment Tool (HEAT), temperature algorithms, vegetation models, and water level input. Habitat classifications were based on three variables: depth (elevation), vegetation, and substrate; and modified by temperature suitabilities. The final suitability maps were based on documented habitat and temperature associations for the fish in the area. Different life stages (spawning requirements, nursery habitat, adult habitat) were modeled for the years of 1972-2011.

Last Updated: Jun. 8, 2020
Date Published: Feb. 5, 2020
Organization: Fisheries and Oceans Canada
Formats: PDF FGDB/GDB ESRI REST
Keywords:  Fish, Habitats, Modelling, Inland waters, Freshwater fish, Sciences
Federal

Fish Habitat Assessment Output: 16 of 16

Average Water Level (75.0m ASL) - Juvenile/Adult Habitat - Low Vegetation Association Species (Coldwater Guild)

Habitat suitability was assessed for the Bay of Quinte Area of Concern, at a 3 m grid resolution, using the Habitat Ecosystem Assessment Tool (HEAT), temperature algorithms, vegetation models, and water level input. Habitat classifications were based on three variables: depth (elevation), vegetation, and substrate; and modified by temperature suitabilities. The final suitability maps were based on documented habitat and temperature associations for the fish in the area. Different life stages (spawning requirements, nursery habitat, adult habitat) were modeled for the years of 1972-2011.

Last Updated: Jun. 8, 2020
Date Published: Feb. 5, 2020
Organization: Fisheries and Oceans Canada
Formats: PDF FGDB/GDB ESRI REST
Keywords:  Fish, Habitats, Modelling, Inland waters, Freshwater fish, Sciences
Federal

Fish Habitat Assessment Output: 2 of 16

High Water Level (75.4m ASL) - Spawning Habitat - Low Vegetation Association Species (All Temperature Windows)

Habitat suitability was assessed for the Bay of Quinte Area of Concern, at a 3 m grid resolution, using the Habitat Ecosystem Assessment Tool (HEAT), temperature algorithms, vegetation models, and water level input. Habitat classifications were based on three variables: depth (elevation), vegetation, and substrate; and modified by temperature suitabilities. The final suitability maps were based on documented habitat and temperature associations for the fish in the area. Different life stages (spawning requirements, nursery habitat, adult habitat) were modeled for the years of 1972-2011.

Last Updated: Jun. 8, 2020
Date Published: Feb. 5, 2020
Organization: Fisheries and Oceans Canada
Formats: PDF FGDB/GDB ESRI REST
Keywords:  Fish, Habitats, Modelling, Inland waters, Freshwater fish, Sciences
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