3 datasets found
  1. d

    Photogrammetric Mapping Certification

    • dataone.org
    • search.dataone.org
    Updated Nov 18, 2011
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    the Digital Archaeological Record (2011). Photogrammetric Mapping Certification [Dataset]. http://doi.org/10.6067/XCV87H1H8J
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    Dataset updated
    Nov 18, 2011
    Dataset provided by
    the Digital Archaeological Record
    Area covered
    Description

    This image is a topographic map from Aerial Mapping Company, Inc. of the entire Casa Grande Ruins National Monument. It details all compounds within the ruins along with roadways and canals. The map also details all historic buildings.

  2. g

    Heat demand per house or building

    • gimi9.com
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    Heat demand per house or building [Dataset]. https://gimi9.com/dataset/eu_cd265466-d98d-40cf-9b58-643f99c3ea97/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This map layer shows the modelled heat demand (in gigajoules per year) per building. The map contains all buildings in Overijssel from the Basic Registration Addresses and Buildings (BAG) of June 2019. Based on the building surface area, the energy labels (for homes), the function (for utilities) and key figures, a heat demand per address has been calculated. The heat demand per address is listed resulting in a heat demand per building. The heat demand for building heating, tap water and greenhouse horticulture is included, but not for industrial processes. This is typically a heat demand at a (much) higher temperature level. The key figures used come from the study: Greenvis (2018) 'Exploration of heat network Eemsdelta - Groningen' and 'IF Technology, CE Delft, Berenschot (2018) 'Scaling up geothermal heat in heat networks - An analysis of the added value of the play-based portfolio approach'. These figures show the heat demand per square meter per energy label or building function. The results based on these figures were compared with the actual energy consumption in neighbourhoods of the municipality of Zwolle in 2014. This shows that it gives a good indication (average deviation 5%). This approach gives accurate results (standard deviation 0.16), especially for neighbourhoods with many dwellings. In the neighbourhoods with many companies, the standard deviation is higher because of a greater variance in the actual energy use per company.

  3. a

    Loudoun Buildings

    • business-loudoungis.opendata.arcgis.com
    • odgavaprod.ogopendata.com
    • +10more
    Updated Jan 25, 2017
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    Loudoun County GIS (2017). Loudoun Buildings [Dataset]. https://business-loudoungis.opendata.arcgis.com/items/185b09c9b9d242bbac25490648dc4914
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    Dataset updated
    Jan 25, 2017
    Dataset authored and provided by
    Loudoun County GIS
    Area covered
    Description

    More MetadataBuilding Footprints are a base map data layer derived by automated processes and processed for cartographic representation at 1:2400 scale. The polygon features represent the outlines of buildings and structures as seen from above and are mapped to National Map Accuracy Standards (NMAS). Purpose: Building footprints are used as reference points in the parcel mapping process and in address assignment. They are also used in the provision of emergency services. Supplemental Information: OMAGI updates all base map data via a photogrammetric process, using aerial imagery that is flown yearly in phases. A different portion of the County is updated each year with the base map maintenance services contract, depending upon development patterns and update funding. See "Lineage" section, in the full FGDC version, for the list of extents for each Phase area, which are listed as Data Sources. For a map of the most recent reviews and updates within the county, pleaseclick here. Data are stored in the corporate ArcSDE Geodatabase as a polygon feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN, US Survey foot units. Use Constraints: Every reasonable effort has been made to assure the accuracy of these data. Loudoun County, Virginia does not assume any liability arising from the use of these data. These data are provided without warranty of any kind, expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular service. Reliance on these data is at the risk of the user. These data are intended for use at 1:2400 scale or smaller. Maintenance and Update Frequency: Annually Completeness Report: Base Map features have been updated from different sources and in different years. Although the entire county was originally mapped, users should be cautious and aware that any particular area of interest may not be absolutely current and up to date. This is a result of the development patterns and update funding determining what area to update, with the entire County being reviewed prior to any update. Data Owner: Office of Mapping and Geographic Information

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Share
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Email
Click to copy link
Link copied
Close
Cite
the Digital Archaeological Record (2011). Photogrammetric Mapping Certification [Dataset]. http://doi.org/10.6067/XCV87H1H8J

Photogrammetric Mapping Certification

Explore at:
Dataset updated
Nov 18, 2011
Dataset provided by
the Digital Archaeological Record
Area covered
Description

This image is a topographic map from Aerial Mapping Company, Inc. of the entire Casa Grande Ruins National Monument. It details all compounds within the ruins along with roadways and canals. The map also details all historic buildings.

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