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We have found 1,237 datasets for the keyword "74 m". You can continue exploring the search results in the list below.
Datasets: 104,046
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1,237 Datasets, Page 1 of 124
Level curves
Level curves with an equidistance of 1 m derived from a lidar survey conducted in 2015.attributes:ID - Unique identifierSubtype - Master (1) or secondary (2) level curve SCORE - Elevation value (m) The product High Resolution Digital Elevation Model (MNEHR) is available on the Open Government website.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Land Cover - 50k - Canvec
Land Features entities are: Island, Shoreline, Wooded Area, Saturated soil, Landform Feature (esker, sand\...), and Cut Line. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
FRI: Gross merchantable volume - total
Gross merchantable volume - total (GMVTOT) is an expression of merchantable stem total volume (m3) on a per-hectare basis. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area. Gross merchantable volume per hectare - total (GMVTOT) is an expression of merchantable stem volume (m3) on a per-hectare basis. Calculations are made assuming a cut-to-length scenario, and including all stem wood from a 30 cm stump height to an 8 cm top diameter (inside bark), with a minimum bole length of 5.1 m and a minimum log length of 2.4 m for softwood and 2.7 m for hardwood. GMVTOT is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GMVTOT data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GMVTOT < 25 0 NA NA NA 25 <= GMVTOT < 75 50 63 81 181 75 <= GMVTOT < 125 100 66 101 160 125 <= GMVTOT < 175 150 68 121 138 175 <= GMVTOT < 225 200 71 140 117 225 <= GMVTOT < 275 250 74 160 96 275 <= GMVTOT < 325 300 85 178 79 325 <= GMVTOT < 375 350 123 191 74 375 <= GMVTOT < 425 400 161 203 70 425 <= GMVTOT < 475 450 198 216 66 475 <= GMVTOT < 525 500 236 229 61 525 <= GMVTOT < 575 550 255 226 53 575 <= GMVTOT < 625 600 255 209 40 625 <= GMVTOT < 675 650 255 191 28 675 <= GMVTOT < 725 700 255 174 16 725 <= GMVTOT < 775 750 255 156 3 775 <= GMVTOT < 825 800 253 139 9 825 <= GMVTOT < 875 850 251 121 20 875 <= GMVTOT < 925 900 249 103 31 925 <= GMVTOT < 975 950 246 85 43 975 <= GMVTOT <= 1000 1000 244 67 54For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.
Clay percentage (%) - Soil Landscape Grids of Canada, 100m
Predicted clay percentage (%) at a defined depth range (0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm).
Silt percentage (%) - Soil Landscape Grids of Canada, 100m
Predicted silt percentage (%) at a defined depth range (0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm).
FRI: Gross biological volume - total
Gross biological volume - total (GBVTOT) is an expression of in-the-tree stem total volume (m3) on a per-hectare basis. Calculated from the ground to the tip. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area. Gross biological volume per hectare - total (GBVTOT) is an expression of in-the-tree stem total volume (m3) on a per-hectare basis. Calculations are made from the ground to the tip. GBVTOT is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GBVTOT data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GBVTOT < 25 0 NA NA NA 25 <= GBVTOT < 75 50 63 81 181 75 <= GBVTOT < 125 100 66 101 160 125 <= GBVTOT < 175 150 68 121 138 175 <= GBVTOT < 225 200 71 140 117 225 <= GBVTOT < 275 250 74 160 96 275 <= GBVTOT < 325 300 85 178 79 325 <= GBVTOT < 375 350 123 191 74 375 <= GBVTOT < 425 400 161 203 70 425 <= GBVTOT < 475 450 198 216 66 475 <= GBVTOT < 525 500 236 229 61 525 <= GBVTOT < 575 550 255 226 53 575 <= GBVTOT < 625 600 255 209 40 625 <= GBVTOT < 675 650 255 191 28 675 <= GBVTOT < 725 700 255 174 16 725 <= GBVTOT < 775 750 255 156 3 775 <= GBVTOT < 825 800 253 139 9 825 <= GBVTOT < 875 850 251 121 20 875 <= GBVTOT < 925 900 249 103 31 925 <= GBVTOT < 975 950 246 85 43 975 <= GBVTOT <= 1000 1000 244 67 54 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.
Forest Lorey's Height 2015
Forest Lorey's Height 2015Lorey's mean height. Average height of trees weighted by their basal area (m). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011
Bay of Fundy Sea Scallop Commercial Size Abundance Data
This dataset represents abundance data of commercial size Sea Scallop (Placopecten magellanicus; ≥ 80 mm shell height) from 2011-2023 from the Bay of Fundy Inshore Scallop Survey. Data is binned into 5-mm shell height bins, is prorated to an 800 m tow length and 17.5 feet (5.334 m) drag width (i.e., representing an area swept of 4267 m2), and was collected using unlined dredge gear. Each row represents a tow and contains information such as tow date, cruise name, gear type, geographical coordinates (decimal degrees, WGS 84) and the Scallop Production Area in which the tow took place. Survey protocols are documented in Glass (2017). This dataset contains tow data from a comparative survey conducted in 2012 (Smith et al., 2013). Further, these data correspond to the publication of Hebert et al. (2025).ReferencesGlass, A. 2017. Maritimes Region Inshore Scallop Assessment Survey: Detailed Technical Description. Can. Tech. Rep. Fish. Aquat. Sci. 3231: v + 32 p.Hebert, N, Sameoto, J.A., Keith, D.M., Murphy, O.A., Brown, C.J., Flemming, J. 2025. Interannual variability in the length–weight relationship can disrupt the abundance–biomass correlation of sea scallop (Placopecten magellanicus). ICES. J. Mar. Sci. Smith, S.J., Glass, A., Sameoto. J., Hubley, B., Reeves, A., and Nasmith, L. 2013. Comparative survey between Digby and Miracle drag gear for scallop surveys in the Bay of Fundy. DFO Can. Sci. Advis. Sec. Res. Doc. 2012/161. iv + 20 p.Cite this data as: Sameoto, J.A. Data of: Bay of Fundy Sea Scallop Commercial Size Abundance Data. Published: December 2025. Population Ecology Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/ecc09d98-56ed-4a27-ad62-5c3714a1d9b4
Pan-Canadian Wind Integration Study: Wind speed at 100 m
The wind speed layer shows the modeled wind speed [m/s] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 m/s each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.
CHS_LSSL_Galway2016 North_Atlantic_HFX_Tromso
Geographic bathymetric grid data at 100 m x 100 m pixel resolution. Datum: WGS84Collaboration of Canada, the United States of America and the European Union as part of the Atlantic Ocean Research Alliance's fifth project under the Galway Statement. Project mapped the North Atlantic seafloor along a transect from Halifax, Canada to Tromsø, Norway to further the understanding of marine habitats, conservation and navigation. Chief Scientist / Primary Investigator name: Paola Travaglini Platform: CCGS Louis S. St- Laurent (Canadian heavy icebreaker)Device 1 type: Multibeam echo-sounder (sonar)Device 1 manufacturer: Kongsberg Device 1 model: EM122 behind an ice protection window Data and Data format:100 m resolution grid of bathymetryBAG format: Bathymetric Attributed Grid ObjectNavigation and positioning: Trimble GNSS receiver + antennae Applanix POS/MV v5 inertial measuring system Horizontal Datum: WGS84 (G1762) Tidal correction:Zero tide applied: tides are not well known for the major part of the data and tides over very deep water are generally negligible. Sound Velocity Profile measurements:In-situ sound velocity profiles were applied.Note on accuracy/S-44 survey standards:Considering the intended output from this survey (IHO Order 1a - Areas shallower than 100 metres where under-keel clearance is less critical but features of concern to surface shipping may exist.) and using an average depth of 2000 m as ‘d’ in the IHO Standard Equation - the allowable Total Vertical Uncertainty (TVU) must be < 26m which indeed the data has achieved (by comparison with overlapping datasets from other surveys/agency data).IHO Order 1aHorizontal positioning accuracy: 5.0 m + 5% of depth (95% Confidence level)(~105 m at a mean depth of 2000 m)Vertical positioning accuracy: 2.5 m < 26.0 m = Sqrt((0.5 m)^2+(0.013 x 2000 m)^2)
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