9 datasets found
  1. M

    Minnesota 3DGeo 1000-Meter Tile Index

    • gisdata.mn.gov
    fgdb, gpkg, html +2
    Updated Nov 3, 2023
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    Geospatial Information Office (2023). Minnesota 3DGeo 1000-Meter Tile Index [Dataset]. https://gisdata.mn.gov/dataset/loc-index-3dgeo-1000m-tilescheme
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    html, jpeg, gpkg, fgdb, shpAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Geospatial Information Office
    Area covered
    Minnesota
    Description

    Minnesota’s 3D Geomatics Committee (3DGeo) - Data Acquisition Workgroup and committee partners have created a new statewide tile indexing scheme for storing, managing, and disseminating lidar data and other geospatial products. 3DGeo required a tiling scheme that recognizes industry standards trending towards cloud optimization which includes a tile scheme that divides the geospatial extent of Minnesota into equal, square-tiled units appropriately sized to mitigate cloud computing and cloud egress costs. Additionally, the tiles must support uniform subdivision into smaller elements that could nest hierarchically in the same data index file or stand alone as separate derivative datasets. This tile architecture brings efficiencies to storage and sharing of modern voluminous data by establishing tiles small enough to ensure only data needed for analysis and download are included in essential tiles. The 3DGeo team tapped into nationwide expertise by conducting interviews with staff from the U.S. Geological Survey and lidar vendors on viable tiling schemes and individual tile size. A 1-kilometer square gridded system proved to be a common tile size for modern lidar management. This tile size supports a simple 500-meter square subdivision suitable for managing lidar data with high point densities requiring smaller tiles.

  2. g

    Priority Species for Species at Risk | gimi9.com

    • gimi9.com
    Updated May 4, 2023
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    (2023). Priority Species for Species at Risk | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_c3d1771f-fa10-4a09-ba6e-dece0ceb5f37
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    Dataset updated
    May 4, 2023
    Description

    🇨🇦 Canada English This dataset displays the Canadian geographic ranges of the priority species identified under the Pan-Canadian Approach for Transforming Species at Risk Conservation in Canada (“Pan-Canadian Approach”). These species include Barren-ground Caribou (including the Dolphin and Union population); Greater Sage-Grouse; Peary Caribou; Wood Bison; Caribou, Boreal population (“Boreal Caribou”); and Woodland Caribou, Southern Mountain population (“Southern Mountain Caribou”). The priority species were chosen following a number of criteria and considerations in collaboration with federal, provincial, and territorial partners. These include, but were not limited to, the species' ecological role on a regional or national scale, their conservation status and achievability of conservation outcomes, their social and cultural value (particularly to Indigenous peoples), and the leadership/partnership opportunities that they present. Delivering conservation outcomes for targeted priority species can have significant co-benefits for other species at risk, and wildlife in general. For more information on the Pan-Canadian Approach and the priority species, see https://www.canada.ca/en/services/environment/wildlife-plants-species/species-risk/pan-canadian-approach.html. This dataset includes: 1) the range for the Boreal Caribou (see https://species-registry.canada.ca/index-en.html#/consultations/2253); 2) the local populations for the Southern Mountain Caribou (see https://species-registry.canada.ca/index-en.html#/consultations/1309); 3) the range for the Greater Sage-Grouse (see https://species-registry.canada.ca/index-en.html#/consultations/1458); 4) local populations for the Peary Caribou (see https://species-registry.canada.ca/index-en.html#/consultations/3657); 5) range for the Barren-ground Caribou (see https://www.maps.geomatics.gov.nt.ca/Html5Viewer/index.html?viewer=NWT_SHV English only); 6) range for the Barren-ground Caribou, Dolphin and Union population (https://www.maps.geomatics.gov.nt.ca/Html5Viewer/index.html?viewer=NWT_SHV English only); 7) range for the Wood Bison (see https://species-registry.canada.ca/index-en.html#/consultations/2914).

  3. 2016 - 2017 FEMA Lidar DEM: Southwest Virginia & Northeast West Virginia

    • fisheries.noaa.gov
    geotiff +1
    Updated Jan 1, 2018
    + more versions
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    OCM Partners (2018). 2016 - 2017 FEMA Lidar DEM: Southwest Virginia & Northeast West Virginia [Dataset]. https://www.fisheries.noaa.gov/inport/item/75003
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    geotiff, not applicableAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    OCM Partners
    Time period covered
    Nov 3, 2016 - Apr 17, 2017
    Area covered
    Description

    Virginia (VA_FEMA_R3_Southwest _A and VA_FEMA_R3_Southwest_B) Leading Edge Geomatics (LEG) collected 6069.91 square miles in the Virginia counties of Bland, Buchanan, Craig (partial), Dickenson, Giles, Grayson, Lee, Russell, Scott, Smyth, Tazewell, Washington, Wise and Wythe, as well as the cities of Bristol, Galax and Norton in Virginia and the city of Bluefield in West Virginia. The nominal...

  4. A

    Pakistan - Polling Stations

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    shp
    Updated Jan 14, 2025
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    UN Humanitarian Data Exchange (2025). Pakistan - Polling Stations [Dataset]. https://data.amerigeoss.org/dataset/polling-station-pakistan
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    shp(3134335)Available download formats
    Dataset updated
    Jan 14, 2025
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Pakistan
    Description

    Polling Station of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest. ALHASAN SYSTEMS made these Polling Stationpublic before Pakistan’s General Election 2018in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election]. ALHASAN SYSTEMS is a privately owned development company with a history that goes back to 1990. At present is registered in Pakistan and Canada. This hi-tech knowledge management, business psychology modeling, and publishing company is constantly contributing its data and services to both humanitarian and developmental causes through its Public/ Private Partnership [PPP] SKIM and ODOA initiatives. ALHASAN SYSTEMS strives to provide the most cost effective solutions and services, which not only serve its clients’ immediate requirements but also contribute to the much larger cause of community welfare and development. Its area of professional services spreads from environment, energy, health, natural resources, critical infrastructure, utilities management, tourism, and investments, to community development and crisis management. ALHASAN SYSTEMS corporate roadmap focuses on new trends in the field of Geomatics Engineering, Geo-engineering, Data Management, Bio Interfacing, Business Psychology Modeling, Hi-tech publishing, e-Learning, and Smart Power Gridding and Engineering Services. This is possible when fairly serious ecological, political, and moral ramifications are addressed strategically. That’s why social awareness, advocacy, and capacity building remain at the heart of ALHASAN SYSTEMS. ALHASAN SYSTEMS constantly update its data in relation to its projects and also as a service to larger public bodies as well as research community to promote its pioneering 100% self-financed Open Data/ Open Access [OD/OA] initiative in Pakistan. We also share a number of additional layers and thousands of maps each year free-of-cost in the larger public interest. All our data are made available through Pakistan’s only Metadata portal [www.geopakistan.pk] launched in 2012 by iMMAP in collaboration with its partners under USAID funding. This portal is now hosted and maintained at NED University of Engineering & Technology with hundreds of registered researchers in Pakistan. Alhasan Systems is also a United Nations Humanitarian Data Exchange Portal [https://data.hdx.rwlabs.org/] member agency and share its resources through HDX for larger humanitarian benefits.

  5. A

    Pakistan Health Facilities

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    shp
    Updated Jan 16, 2025
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    UN Humanitarian Data Exchange (2025). Pakistan Health Facilities [Dataset]. https://data.amerigeoss.org/dataset/pakistan-health-facilities
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    shp(1610024)Available download formats
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Pakistan
    Description

    ALHASAN SYSTEMS makes Pakistan Government Health Facilities data public through HDX under its Open Data/ Open Access [OD/OA] pioneering initiative. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Health Bulletins from [http://www.alhasan.com/bulletins/health].

    ALHASAN SYSTEMS is a privately owned development company with a history that goes back to 1990. At present is registered in Pakistan and Canada. This hi-tech knowledge management, business psychology modeling, and publishing company is constantly contributing its data and services to both humanitarian and developmental causes through its Public/ Private Partnership [PPP] SKIM and ODOA initiatives. ALHASAN SYSTEMS strives to provide the most cost effective solutions and services, which not only serve its clients’ immediate requirements but also contribute to the much larger cause of community welfare and development. Its area of professional services spreads from environment, energy, health, natural resources, critical infrastructure, utilities management, tourism, and investments, to community development and crisis management. ALHASAN SYSTEMS corporate roadmap focuses on new trends in the field of Geomatics Engineering, Geo-engineering, Data Management, Bio Interfacing, Business Psychology Modeling, Hi-tech publishing, e-Learning, and Smart Power Gridding and Engineering Services. This is possible when fairly serious ecological, political, and moral ramifications are addressed strategically. That’s why social awareness, advocacy, and capacity building remain at the heart of ALHASAN SYSTEMS.

    ALHASAN SYSTEMS constantly update its data in relation to its projects and also as a service to larger public bodies as well as research community to promote its pioneering 100% self-financed Open Data/ Open Access [OD/OA] initiative in Pakistan. We also share a number of additional layers and thousands of maps each year free-of-cost in the larger public interest.

    All our data are made available through Pakistan’s only Metadata portal [www.geopakistan.pk] launched in 2012 by iMMAP in collaboration with its partners under USAID funding. This portal is now hosted and maintained at NED University of Engineering & Technology with hundreds of registered researchers in Pakistan.

    Alhasan Systems is also a United Nations Humanitarian Data Exchange Portal [https://data.hdx.rwlabs.org/] member agency and share its resources through HDX for larger humanitarian benefits.

  6. e

    Model Digital Elevation MNE LIDAR 2014 French territory Grand Geneva

    • data.europa.eu
    Updated Apr 29, 2022
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    (2022). Model Digital Elevation MNE LIDAR 2014 French territory Grand Geneva [Dataset]. https://data.europa.eu/data/datasets/dcfdeac0-5e6b-4d8d-b44b-de503417162b
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    Dataset updated
    Apr 29, 2022
    Area covered
    France, Grand Geneva Way, French
    Description

    Digital Model of Elevation MNE LIDAR 2014 (Department of Ain and Department of Haute Savoie) of French territory Grand Geneva

    The study area corresponds to the perimeter of the Franco-Valdo-genevoise agglomeration and its immediate periphery, particularly at the head watershed level, in order to maintain overall coherence (2 000 km² in total Switzerland and France).

    The project to acquire remote sensing data will be carried out on the perimeter of the agglomeration project on the French side (1 400 km²), which concerns two departments in the Rhône-Alpes region: the department of Ain and the Haute Savoie department will come to aggregate with the Swiss data. Data include the Digital Elevation Model (MNE) with 50 cm resolution from classified LIDAR points (sursol class)

    At least 116 municipalities are involved in 9 communities of municipalities: CC of Gex Country, CC Beaugardian Basin, CC. Geneva, CC Arve and Salève, CC Pays Rochois, CC. Faucigny-Glières, CC Bas Chablais, CC. Hills of Leman, CA.Annemasse Agglo and the commune of Thonon les Bains

    These files are made available by the Department of Ain and are free of use and right, subject to the following logos: the Department of Ain, the Canton of Geneva, Europe INTERREG IV France Switzerland, the Agence de l’Eau Rhône Méditerranée Corse and the department of Haute Savoie. The Act of Commitment and the logos of the partners are available on the link “Internet Address (URL)” of the fiche. The undertaking must be completed, signed and sent to the Observatory and Geomatics Service of the Departmental Council of Ain (CD 01) (contact details of the metadata).

  7. 2015-2017 USGS Puerto Rico Lidar

    • fisheries.noaa.gov
    las/laz - laser
    Updated Dec 1, 2017
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    OCM Partners (2017). 2015-2017 USGS Puerto Rico Lidar [Dataset]. https://www.fisheries.noaa.gov/inport/item/54852
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    las/laz - laserAvailable download formats
    Dataset updated
    Dec 1, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Sep 19, 2015 - Mar 16, 2017
    Area covered
    Description

    Leading Edge Geomatics (LEG) collected 3451 square miles in Puerto Rico. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 0-Never Classified, 1-Unclassified, 2-Ground, 7-Low Noise, 9-Water, 10-Ignored Ground due to breakline proximity, 17-Bridges, 18-High Noise. Dewberry produ...

  8. 2016 USGS Lidar: Chesapeake Bay, VA

    • fisheries.noaa.gov
    las/laz - laser +1
    Updated Jun 1, 2016
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    OCM Partners (2016). 2016 USGS Lidar: Chesapeake Bay, VA [Dataset]. https://www.fisheries.noaa.gov/inport/item/71852
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    not applicable, las/laz - laserAvailable download formats
    Dataset updated
    Jun 1, 2016
    Dataset provided by
    OCM Partners
    Time period covered
    Nov 15, 2015 - Mar 30, 2016
    Area covered
    Description

    Leading Edge Geomatics (LEG) collected 3753 square miles in the Virginia counties of Ablemarle, Buckingham, Cumberland, Powhatan, Augusta, Rockingham, Greene, Fluvanna, Goochland, Nelson, and Appomattox as well as the City of Charlottesville. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to projec...

  9. 2015 USGS Lidar DEM: Eastern Shore VA

    • fisheries.noaa.gov
    html
    Updated Jan 1, 2018
    + more versions
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    NOAA Office for Coastal Management (NOAA/OCM) (2018). 2015 USGS Lidar DEM: Eastern Shore VA [Dataset]. https://www.fisheries.noaa.gov/inport/item/51444
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    OCM Partners, LLC
    Authors
    NOAA Office for Coastal Management (NOAA/OCM)
    Time period covered
    Apr 11, 2015 - Apr 24, 2015
    Area covered
    Description

    Leading Edge Geomatics (LEG) collected 994 square miles in the Virginia counties of Accomack and Northampton. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 0-Never Classified, 1-Unclassified, 2-Ground (bare earth points identified as Model Key Points are flagged with the Mod...

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Geospatial Information Office (2023). Minnesota 3DGeo 1000-Meter Tile Index [Dataset]. https://gisdata.mn.gov/dataset/loc-index-3dgeo-1000m-tilescheme

Minnesota 3DGeo 1000-Meter Tile Index

Explore at:
html, jpeg, gpkg, fgdb, shpAvailable download formats
Dataset updated
Nov 3, 2023
Dataset provided by
Geospatial Information Office
Area covered
Minnesota
Description

Minnesota’s 3D Geomatics Committee (3DGeo) - Data Acquisition Workgroup and committee partners have created a new statewide tile indexing scheme for storing, managing, and disseminating lidar data and other geospatial products. 3DGeo required a tiling scheme that recognizes industry standards trending towards cloud optimization which includes a tile scheme that divides the geospatial extent of Minnesota into equal, square-tiled units appropriately sized to mitigate cloud computing and cloud egress costs. Additionally, the tiles must support uniform subdivision into smaller elements that could nest hierarchically in the same data index file or stand alone as separate derivative datasets. This tile architecture brings efficiencies to storage and sharing of modern voluminous data by establishing tiles small enough to ensure only data needed for analysis and download are included in essential tiles. The 3DGeo team tapped into nationwide expertise by conducting interviews with staff from the U.S. Geological Survey and lidar vendors on viable tiling schemes and individual tile size. A 1-kilometer square gridded system proved to be a common tile size for modern lidar management. This tile size supports a simple 500-meter square subdivision suitable for managing lidar data with high point densities requiring smaller tiles.

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