4 datasets found
  1. Average height of men in the top 20 countries worldwide 2016

    • statista.com
    Updated Aug 9, 2016
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    Statista (2016). Average height of men in the top 20 countries worldwide 2016 [Dataset]. https://www.statista.com/statistics/587939/average-height-of-men-in-the-top-20-countries-worldwide/
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    Dataset updated
    Aug 9, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    World
    Description

    This statistic represents the average height of men in the top 20 countries worldwide as of 2016. On average, men are 183.9 centimeters tall in Bosnia & Herzegovina.

  2. Canadian ensemble of CMIP5 ocean wave heights simulations (mean and...

    • open.canada.ca
    • data.urbandatacentre.ca
    Updated Jul 30, 2021
    + more versions
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    Environment and Climate Change Canada (2021). Canadian ensemble of CMIP5 ocean wave heights simulations (mean and extremes) [Dataset]. https://open.canada.ca/data/en/dataset/d82b1c57-e766-495a-8a81-3bc1ebba87ae
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    Dataset updated
    Jul 30, 2021
    Dataset provided by
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1950 - Dec 31, 2005
    Area covered
    Canada
    Description

    This global dataset contains monthly, seasonal and annual statistics mean and maximum of significant wave height Hs that were produced using a statistical modelling approach and the 6-hourly sea level pressure SLP fields simulated by 20 global climate models participated in the Coupled Climate Model Comparison Phase 5 CMIP5 project for the historical period 1950-2005 and for two different future emission scenarios RCP4.5 and RCP8.5 . Reference Wang et al. 2014 - Changes in global ocean wave heights as projected using multimodel CMIP5 simulations. Geophysical Research Letters, 41, 1026-1034, doi:10.1002/2013GL058650.

  3. G

    FRI: Height (Lorey's mean)

    • open.canada.ca
    • catalogue.arctic-sdi.org
    html
    Updated Feb 5, 2025
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    Government of Saskatchewan (2025). FRI: Height (Lorey's mean) [Dataset]. https://open.canada.ca/data/dataset/d4e329a2-852b-a8e0-fce7-b9adc8d41f94
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    htmlAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Government of Saskatchewan
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Height is an expression of the average height (m) of dominant and co-dominant trees of the leading species in the stand, expressed as Lorey’s mean height (LRY_HT). Available here as a height 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. Lorey's mean tree height (LRY_HT) is an expression of the average tree height (m) of dominant and co-dominant trees of the leading species in the stand whereby individual trees are weighted in proportion to their basal area. LRY_HT 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 LRY_HT data in the following 5 m categories. Domain: [NULL, 0…35]. RANGE LABEL RED GREEN BLUE 0 <= LRY_HT < 3 0 NA NA NA 3 <= LRY_HT < 8 5 63 81 181 8 <= LRY_HT < 13 10 72 144 114 13 <= LRY_HT < 18 15 136 195 73 18 <= LRY_HT < 23 20 255 235 59 23 <= LRY_HT < 28 25 255 180 20 28 <= LRY_HT < 33 30 251 124 18 33 <= LRY_HT <= 35 35 244 67 54 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

  4. Forest Elevation(Ht) Mean 2015

    • open.canada.ca
    • datasets.ai
    • +2more
    html, pdf, wms, zip
    Updated Apr 8, 2020
    + more versions
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    Natural Resources Canada (2020). Forest Elevation(Ht) Mean 2015 [Dataset]. https://open.canada.ca/data/en/dataset/7cbdfae1-f724-4679-8f0f-1c611f17186f
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    wms, html, zip, pdfAvailable download formats
    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1985 - Jan 1, 2011
    Description

    Forest Elevation(Ht) Mean 2015Mean height of lidar first returns (m). Represents the mean canopy height. 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) Wulder et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011

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Statista (2016). Average height of men in the top 20 countries worldwide 2016 [Dataset]. https://www.statista.com/statistics/587939/average-height-of-men-in-the-top-20-countries-worldwide/
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Average height of men in the top 20 countries worldwide 2016

Explore at:
Dataset updated
Aug 9, 2016
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2016
Area covered
World
Description

This statistic represents the average height of men in the top 20 countries worldwide as of 2016. On average, men are 183.9 centimeters tall in Bosnia & Herzegovina.

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