76 datasets found
  1. a

    Ontario Imagery Web Map Service (OIWMS)

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    Updated Mar 31, 2014
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    Land Information Ontario (2014). Ontario Imagery Web Map Service (OIWMS) [Dataset]. https://hub.arcgis.com/maps/101295c5d3424045917bdd476f322c02
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    Dataset updated
    Mar 31, 2014
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    The Ontario Imagery Web Map Service (OIWMS) is an open data service available to everyone free of charge. It provides instant online access to the most recent, highest quality, province wide imagery. GEOspatial Ontario (GEO) makes this data available as an Open Geospatial Consortium (OGC) compliant web map service or as an ArcGIS map service. Imagery was compiled from many different acquisitions which are detailed in the Ontario Imagery Web Map Service Metadata Guide linked below. Instructions on how to use the service can also be found in the Imagery User Guide linked below.Note: This map displays the Ontario Imagery Web Map Service Source, a companion ArcGIS web map service to the Ontario Imagery Web Map Service. It provides an overlay that can be used to identify acquisition relevant information such as sensor source and acquisition date. OIWMS contains several hierarchical layers of imagery, with coarser less detailed imagery that draws at broad scales, such as a province wide zooms, and finer more detailed imagery that draws when zoomed in, such as city-wide zooms. The attributes associated with this data describes at what scales (based on a computer screen) the specific imagery datasets are visible.Available ProductsOntario Imagery OCG Web Map Service – public linkOntario Imagery ArcGIS Map Service – public linkOntario Imagery Web Map Service Source – public linkOntario Imagery ArcGIS Map Service – OPS internal linkOntario Imagery Web Map Service Source – OPS internal linkAdditional DocumentationOntario Imagery Web Map Service Metadata Guide (PDF)Imagery User Guide (Word)StatusCompleted: Production of the data has been completedMaintenance and Update FrequencyAnnually: Data is updated every yearContactOntario Ministry of Natural Resources, Geospatial Ontario, imagery@ontario.ca

  2. a

    Geospatial Ontario imagery

    • catalogue.arctic-sdi.org
    • open.canada.ca
    Updated Apr 5, 2025
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    (2025). Geospatial Ontario imagery [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?keyword=GEO
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    Dataset updated
    Apr 5, 2025
    Area covered
    Ontario
    Description

    View spatial imagery of Ontario captured by satellite or airplane. Background Every five years, the Ministry of Natural Resources coordinates projects to photograph high resolution imagery of settled areas of the province. Geospatial Ontario (GEO) acquires, maintains, and distributes this high-resolution imagery collected across Ontario. From 2013 to 2023, public and private sector organizations partnered with Ontario to share in the costs of acquiring aerial imagery. Project participants included: * other Ontario ministries * municipalities * federal agencies * conservation authorities * non-government organizations (NGOs) * private companies Starting in 2024, GEO will fully fund imagery acquisitions. All imagery will be released openly and available to everyone as soon as the imagery is ready as a mappable product. Technical information This record includes all collections of digital orthophotography which are currently open to the public. Collections are differentiated by year of acquisition and region of the province covered. Orthophotographs are primarily taken during the spring in leaf-off/low-leaf conditions. All orthophotography is available as GeoTIFFs with the following bands of spectral information: * red * green * blue * near-infrared Pixel size is consistent within collections but varies between collections, ranging from a minimum of 16 cm to a maximum of 50 cm. Open imagery access restrictions Starting in 2024, most orthophotography acquisitions will be made available under the Open Government Licence. This only applies to orthophotography collections where Ontario owns the intellectual property rights. Open Government licensed orthophotography collection release schedule 2022 release: * Algonquin 2015 * Central Ontario Orthophotography (COOP) 2016 * Digital Raster Acquisition Project East (DRAPE) 2008 * Digital Raster Acquisition Project East (DRAPE) 2014 * Simcoe Muskoka Dufferin 2008 * South Central Ontario Orthophotography Project (SCOOP) 2013 * Southwest Ontario Orthophotography Project (SWOOP) 2006 * Southwest Ontario Orthophotography Project (SWOOP) 2010 * Southwest Ontario Orthophotography Project (SWOOP) 2015 2023 release: * Northwest Ontario Orthophotography Project (NWOOP) 2017 2024 release: * South Central Ontario Orthophotography Project (SCOOP) 2018 * South Central Ontario Orthophotography Project (SCOOP) 2023 * Digital Raster Acquisition Project East (DRAPE) 2019-2020 * Southwest Ontario Orthophotography Project (SWOOP) 2020 * Central Ontario Orthophotography Project (COOP) 2021 * Northwest Ontario Orthophotography Project (NWOOP) 2022 2025 release: * Digital Raster Acquisition Project East (DRAPE) 2024 2026 release: * Southwest Ontario Orthophotography Project (SWOOP) 2025

  3. a

    Ontario Digital Elevation Model (Imagery-Derived)

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    Updated Aug 29, 2019
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    Ontario Ministry of Natural Resources and Forestry (2019). Ontario Digital Elevation Model (Imagery-Derived) [Dataset]. https://hub.arcgis.com/maps/1ce266ee55c44ffca2d457bc5db13b92
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    Dataset updated
    Aug 29, 2019
    Dataset authored and provided by
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    Zoom in on the map above and click your area of interest or use the Tile Index linked below to determine which package(s) you require for download. The Digital Elevation Models (DEM) are 2-m resolution raster elevation products that were generated from the Ontario Classified Point Cloud (Imagery-Derived) data. The point clouds were created via a pixel-autocorrelation process from the stereo aerial photography of the Land Information Ontario (LIO) imagery program. It is important to note that the DEM does not represent a full ‘bare-earth’ elevation surface. There are areas where there are very few points classified as Ground and interpolation has occurred across the resulting voids. Points classified as Ground have not been assessed for accuracy to determine if they represent true ground features. Some features are still raised above ground surface, such as larger buildings, larger forest stands and other raised features.

    For more detailed information about this dataset, refer to the associated User Guide.

    Now also available through a web service which exposes the data for visualization, geoprocessing and limited download.

    The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connection using the REST endpoint URL. The service draws using the Web Mercator projection.

    For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.

    Service Endpoints https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DEM_ImageryDerived/ImageServer https://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DEM_ImageryDerived/ImageServer (Government of Ontario Internal Users)

    Additional Documentation

    Ontario DEM (Imagery-Derived) - User Guide (DOCX)Ontario DEM (Imagery-Derived) - Tile Index (SHP)SCOOP 2013 - Vertical Accuracy Assessment (Word) SCOOP 2013 - Vertical Accuracy Assessment - Data (SHP)

    Product Packages

    SCOOP 2013 DEM Package A (IMG) SCOOP 2013 DEM Package B (IMG) SCOOP 2013 DEM Package C (IMG) SCOOP 2013 DEM Package D (IMG) SCOOP 2013 DEM Package E (IMG) SCOOP 2013 DEM Package F (IMG) SCOOP 2013 DEM Package G (IMG) SCOOP 2013 DEM Package H (IMG)

    DRAPE 2014 DEM Package A (IMG) DRAPE 2014 DEM Package B (IMG) DRAPE 2014 DEM Package C (IMG) DRAPE 2014 DEM Package D (IMG) DRAPE 2014 DEM Package E (IMG) DRAPE 2014 DEM Package F (IMG) DRAPE 2014 DEM Package G (IMG) DRAPE 2014 DEM Package H (IMG) DRAPE 2014 DEM Package I (IMG)

    Algonquin 2015 DEM Package (IMG)

    SWOOP 2015 DEM Package A (IMG) SWOOP 2015 DEM Package B (IMG) SWOOP 2015 DEM Package C (IMG) SWOOP 2015 DEM Package D (IMG) SWOOP 2015 DEM Package E (IMG) SWOOP 2015 DEM Package F (IMG) SWOOP 2015 DEM Package G (IMG) SWOOP 2015 DEM Package H (IMG)

    COOP 2016 DEM Package A (IMG) COOP 2016 DEM Package B (IMG) COOP 2016 DEM Package C (IMG) COOP 2016 DEM Package D (IMG) COOP 2016 DEM Package E (IMG) COOP 2016 DEM Package F (IMG) COOP 2016 DEM Package G (IMG) COOP 2016 DEM Package H (IMG) COOP 2016 DEM Package I (IMG)

    NWOOP 2017 DEM Package A (IMG) NWOOP 2017 DEM Package B (IMG) NWOOP 2017 DEM Package C (IMG) NWOOP 2017 DEM Package D (IMG) NWOOP 2017 DEM Package E (IMG) NWOOP 2017 DEM Package F (IMG)

    Status On going: Data is continually being updated

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  4. Ontario Classified Point Cloud (Imagery-Derived)

    • datasets.ai
    • catalogue.arctic-sdi.org
    • +1more
    21, 57
    Updated Aug 27, 2024
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    Government of Ontario | Gouvernement de l'Ontario (2024). Ontario Classified Point Cloud (Imagery-Derived) [Dataset]. https://datasets.ai/datasets/2e8d5ef8-87bf-47eb-a7ae-fffc92843fe8
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    21, 57Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    Authors
    Government of Ontario | Gouvernement de l'Ontario
    Area covered
    Ontario
    Description

    The Ontario Classified Point Cloud (Imagery-Derived) is a classified elevation point cloud based on aerial photography. The point cloud is structured in non-overlapping 1 km by 1 km tiles in a compressed format. The following classification codes are applied to the data: * unclassified * ground * low noise This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. Related data: Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see the Ontario Digital Elevation Model (Imagery-Derived). For a model representing all surface features, see the Ontario Digital Surface Model (Imagery-Derived).

  5. Ontario Raw Point Cloud (Imagery-Derived)

    • datasets.ai
    • catalogue.arctic-sdi.org
    • +1more
    21
    Updated Sep 11, 2024
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    Government of Ontario | Gouvernement de l'Ontario (2024). Ontario Raw Point Cloud (Imagery-Derived) [Dataset]. https://datasets.ai/datasets/4329a558-b1ed-4306-864b-a36ede51a586
    Explore at:
    21Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    Authors
    Government of Ontario | Gouvernement de l'Ontario
    Area covered
    Ontario
    Description

    The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Land Information Ontario (LIO) imagery program. It was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the LIO imagery program. The dataset consists of overlapping tiles in LAZ format and is 6.29 terabytes in size. Tiles are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. Related data For a product in non-overlapping tiles with a ground classification applied, see the Ontario Classified Point Cloud (Imagery-Derived). Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see Ontario Digital Elevation Model (Imagery-Derived). For a model representing all surface features, see the Ontario Digital Surface Model (Imagery-Derived).

  6. Ontario Raw Point Cloud (Imagery-Derived)

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Aug 30, 2019
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    Ontario Ministry of Natural Resources and Forestry (2019). Ontario Raw Point Cloud (Imagery-Derived) [Dataset]. https://geohub.lio.gov.on.ca/maps/08f1a39395e04803ace0225c1fc196a0
    Explore at:
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    Ministry of Natural Resourceshttp://www.ontario.ca/page/ministry-natural-resources
    Authors
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    If you are interested in obtaining a copy of this data see LIO Support – Large Data Ordering Instructions. Data can be requested by project or by package within each project. To determine which package contains your area of interest zoom in on the map above and click. You will need to provide a large enough hard drive for the data to be copied onto. Data sizes are listed below.

    The Ontario Raw Point Cloud (Imagery-Derived) was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the Geospatial Ontario (GEO) imagery program. The dataset consists of overlapping tiles in LAZ format and is 8.29 terabytes in size. Tiles for some projects are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography.

    For more detailed information about this dataset, refer to the associated User Guide.

    For a product in non-overlapping tiles with a ground classification applied see the Ontario Classified Point Cloud (Imagery-Derived).

    Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. See the Ontario Digital Elevation Model (Imagery-Derived) for a representation of bare earth and the Ontario Digital Surface Model (Imagery-Derived) for a model representing all surface features.

    Additional Documentation OntarioRaw Point Cloud (Imagery-Derived) - User Guide (DOCX) Ontario Raw Point Cloud (Imagery-Derived) - Tile Index (SHP)

    Data Package Sizes SWOOP 2010 - Total - 519 GB SWOOP 2010 - Chatham-Kent - 132 GB SWOOP 2010 - Elgin - 130 GB SWOOP 2010 - Oxford - 133 GB SWOOP 2010 - Perth - 124 GB

    SCOOP 2013 - Total - 1.56 TB SCOOP 2013 - Package A - 275 GB SCOOP 2013 - Package B - 238 GB SCOOP 2013 - Package C - 278 GB SCOOP 2013 - Package D - 350 GB SCOOP 2013 - Package E - 420 GB

    DRAPE 2014 - Total - 2.05 TB DRAPE 2014 - Package A - 504 GB DRAPE 2014 - Package B - 436 GB DRAPE 2014 - Package C - 337 GB DRAPE 2014 - Package D - 348 GB DRAPE 2014 - Package E - 430 GB

    SWOOP 2015 - Total - 2.52 TB SWOOP 2015 - Package A - 235 GB SWOOP 2015 - Package B - 394GB SWOOP 2015 - Package C - 439GB SWOOP 2015 - Package D - 363GB SWOOP 2015 - Package E - 439GB SWOOP 2015 - Package F - 351GB SWOOP 2015 - Package G - 302GB

    Algonquin 2015 - 235 GB SCOOP 2018 - 410 GB DRAPE 2019 - 328 GB SWOOP 2020 - 329 GB COOP 2021 - 451 GB NWOOP 2022 Zone 15 - 118 GB NWOOP 2022 Zone 16 - 271 GB

    Status On going: Data is continually being updated

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  7. g

    Southern Ontario Colour Infrared Aerial Photography 1994-2002

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Jul 11, 1994
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    Land Information Ontario (1994). Southern Ontario Colour Infrared Aerial Photography 1994-2002 [Dataset]. https://geohub.lio.gov.on.ca/documents/ccb2eb76a7b94fbc9e998d940a9cb471
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    Dataset updated
    Jul 11, 1994
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    Use the Geospatial Ontario Imagery Orders App to select and request uncompressed or compressed digital imagery tiles from Geospatial Ontario for transfer directly to you.

    This collection was digitally converted from 148 rolls (64000 frames) of colour infrared aerial photography to a professional quality digital version that supports orthorectification, better feature interpretation and high-resolution inkjet printing. The photos were originally taken during the summers of 1994-2002 at approximately 1:10000 scale. The digital conversion occurred during 2006.

    Time of Capture: 1994 to 2002 during June to September Coverage: 103,979 sq km Canopy Coverage: Leaf-On

    Available Products Non-georeferenced, 2.5km by 2.5km, 40cm resolution, 16-bit, NRG in JPEG2000 format (53 MB/tile)

    Southern Ontario Infrared Air Photos Centres (Shapefile)

    Additional Resources

    Sample CIR 1994-2002 Aerial Photography in JPEG2000 format (.zip)Imagery User Guide (.docx)

    Status

    Completed: Production of the data has been completed

    Maintenance and Update Frequency

    Not planned: There are no plans to update the data

    Contact

    Ontario Ministry of Natural Resources - Geospatial Services, imagery@ontario.ca

  8. g

    South Central Ontario Orthophotography Project (SCOOP) 2018 - 1km Index

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    • +1more
    Updated Jun 9, 2023
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    Land Information Ontario (2023). South Central Ontario Orthophotography Project (SCOOP) 2018 - 1km Index [Dataset]. https://geohub.lio.gov.on.ca/maps/b5acde0dfe7e4489a91b1468814b6d29
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    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    The imagery products described in this metadata record are open data. Use of any imagery indicates your acceptance of the Open Government Licence – Ontario.The South Central Ontario Orthophotography (SCOOP) 2018 imagery acquisition was part of a Geospatial Ontario coordinated project that included funding contributions from Ontario, and other public and private sector organizations to collect high-resolution aerial imagery. This aerial project is part of a five-year plan (2018-2022) to acquire high-resolution, leaf-off/low leaf imagery of settled areas across the province.The SCOOP 2018 was acquired in the spring of 2018 and 2019 under the best conditions possible to achieve cloud free, snow free, ice free, smoke free and leaf off/low leaf captures. The orthophotography has a pixel resolution of 16 centimetres and is accurate within 45 centimetres on the ground. Time of Capture: March 22, - May 23, 2018 and May 6th - May 27th, 2019Coverage: 38,920 square kilometresCanopy Coverage: Leaf-Off/Low-LeafResolution: 16 centimetreBit-depth: 8-bitNumber of Image bands: Four band (RGBN)Accuracy: Within 45 centimetres on the ground at 95% confidence.Format: GeoTIFF (and compressed GeoTIFF)Regularly check the Geospatial Ontario Imagery Page for the availability of online geospatial services that contain SCOOP 2018. Use the Geospatial Ontario Imagery Orders App to select and request uncompressed or compressed digital imagery tiles from Geospatial Ontario for transfer directly to you.Stereo imagery and associated stereo models are available. Please see the related Stereo Index record on GeoHub for more information. The acquisition area spans two Universal Transverse Mercator (UTM) Zones of UTM Zone 17 and UTM Zone 18. View the acquisition area for each zone by clicking the links near the bottom of this record. A new page opens and you may need to zoom in to see the individual one kilometre squared tiles. To download the index, click the ‘View Full Details’ button and finally the ‘Download’ button near the top of the page that opens. Alternatively, you can click HERE to bring the map up in an ArcGIS online map viewer. Available Products:Orthorectified TilesSouth Central Ontario Orthophotography Project (SCOOP) 2018 - 1km Ortho IndexFull Quality Sample (95MB)Compressed Sample (7MB)Stereo FramesSouth Central Ontario Orthophotography Project (SCOOP) 2018 - Stereo Frame Index1.9 - 2.4GB per frameAdditional Resources:Imagery User Guide (.docx)Maintenance and Update Frequency:Not planned: There are no plans to update the data.Contact:Ontario Ministry of Natural Resources - Geospatial Services, imagery@ontario.ca

  9. a

    Ontario Digital Elevation Model (Imagery-Derived)

    • catalogue.arctic-sdi.org
    • open.canada.ca
    • +1more
    Updated May 28, 2022
    + more versions
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    (2022). Ontario Digital Elevation Model (Imagery-Derived) [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/90a9edf0-06db-4355-91ce-c0123c86f23b
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    Dataset updated
    May 28, 2022
    Description

    The digital elevation models (DEM) are 2 m resolution raster elevation products that were generated from the Ontario Classified Point Cloud (Imagery-Derived) data. The point clouds were created via a pixel-autocorrelation process from the stereo aerial photography of the Geospatial Ontario (GEO) imagery program. The DEM does not represent a full ‘bare-earth’ elevation surface. There are areas where there are very few points classified as ground and interpolation has occurred across the resulting voids. Points classified as ground have not been assessed for accuracy to determine if they represent true ground features. Some features are still raised above ground surface, such as larger buildings, larger forest stands and other raised features. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

  10. u

    Open Ontario imagery - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). Open Ontario imagery - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-a3ebafa1-bda6-4fc4-b91f-b3fbd8d49c1a
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    Dataset updated
    Sep 30, 2024
    Area covered
    Canada, Ontario
    Description

    View spatial imagery of Ontario captured by satellite or airplane. Background Every five years, the Ministry of Northern Development, Mines, Natural Resources and Forestry coordinates projects to photograph high resolution imagery of settled areas of the province. Project participants include: * other Ontario ministries * municipalities * federal agencies * conservation authorities * non-government organizations (NGOs) * private companies Each agency participates by sharing in the cost of taking the photographs through a funding model. To maintain the funding model integrity, the imagery is available to the public via purchase for a period of six years after acquisition. Six years after the acquisition, the orthophotography is reclassified as open. Technical information This record includes all collections of digital orthophotography which are at least six years old. Collections are differentiated by year of acquisition and region of the province covered. Orthophotographs are primarily taken during the spring in leaf-off conditions. All orthophotography is available as GeoTIFFs with the following bands of spectral information: * red * green * blue * near-infrared Pixel size is consistent within collections but varies between collections, ranging from a minimum of 16 cm to a maximum of 50 cm. Open imagery access restrictions Starting in April 2022, the access restrictions to the data become open after six years, and the data will be made available under the Open Government License. This only applies to orthophotography collections where Ontario owns the intellectual property rights. Open Government licenced orthophotography collection release schedule 2022 release: * Central Ontario Orthophotography (COOP) 2016 * Algonquin 2015 * Digital Raster Acquisition Project East (DRAPE) 2008 * Digital Raster Acquisition Project East (DRAPE) 2014 * South Central Ontario Orthophotography Project (SCOOP) 2013 * Simcoe Muskoka Dufferin 2008 * Southwest Ontario Orthophotography Project (SWOOP) 2006 * Southwest Ontario Orthophotography Project (SWOOP) 2010 * Southwest Ontario Orthophotography Project (SWOOP) 2015 2023 release: * Northwest Ontario Orthophotography Project (NWOOP) 2017 2024 release: * South Central Ontario Orthophotography Project (SCOOP) 2018 2025 release: * Digital Raster Acquisition Project East (DRAPE) 2019-2020 2026 release: * Southwest Ontario Orthophotography Project (SWOOP) 2020 2027 release: * Central Ontario Orthophotography Project (COOP) 2021

  11. a

    South Central Ontario Orthophotography Project (SCOOP) 2023 - 1km Index

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    • +1more
    Updated May 30, 2022
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    Land Information Ontario (2022). South Central Ontario Orthophotography Project (SCOOP) 2023 - 1km Index [Dataset]. https://hub.arcgis.com/maps/5ce3ba3176564c46969f064453742f1a
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    Dataset updated
    May 30, 2022
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    The imagery products described in this metadata record are open data. Use of any imagery indicates your acceptance of the Open Government Licence – Ontario.The South Central Ontario Orthophotography (SCOOP) 2023 imagery acquisition was part of a Geospatial Ontario coordinated project that included funding contributions from Ontario, and other public and private sector organizations to collect high-resolution aerial imagery. This aerial project is part of a five-year plan (2023-2027) to acquire high-resolution, leaf-off/low leaf imagery of settled areas across the province.The SCOOP 2023 was acquired in the spring of 2023, fall of 2023, and spring of 2024 under the best conditions possible to achieve cloud free, snow free, ice free, smoke free and leaf off/low leaf captures. The orthophotography has a pixel resolution of 16 centimetres and a stated accuracy of 50 centimetres on the ground. Time of Capture: April 8th, 2023 - May 20, 2023, October 23, 2023 - November 3rd, 2023, April 24th 2024 Coverage: 43,692 square kilometresCanopy Coverage: Leaf-Off/Low-LeafResolution: 16 centimetreBit-depth: 8-bitNumber of Image bands: Four band (RGBN)Accuracy: Within 50 centimetres on the ground at 95% confidence.Format: GeoTIFF (and compressed GeoTIFF)Regularly check the Geospatial Ontario Imagery Page for the availability of online geospatial services that contain SCOOP 2023. Use the Geospatial Ontario Imagery Orders App to select and request uncompressed or compressed digital imagery tiles from Geospatial Ontario for transfer directly to you.Stereo imagery and associated stereo models are available. Please see the related Stereo Index record on GeoHub for more information. The acquisition area spans two Universal Transverse Mercator (UTM) Zones of UTM Zone 17 and UTM Zone 18. View the acquisition area for each zone by clicking the links near the bottom of this record. A new page opens, and you may need to zoom in to see the individual one-kilometre squared tiles. To download the index, click the ‘View Full Details’ button and finally the ‘Download’ button near the top of the page that opens. Alternatively, you can click HERE to bring the map up in an ArcGIS online map viewer.Available Products:Orthorectified TilesSouth Central Ontario Orthophotography Project (SCOOP) 2023 - 1km Ortho IndexFull Quality Sample (95MB)Compressed Sample (7MB)Stereo FramesSouth Central Ontario Orthophotography Project (SCOOP) 2023- Stereo Frame Index1.9 - 2.4GB per frameAdditional Resources:Imagery User Guide (.docx)Notification of NIR Band Artifacts in Water Bodies of Northwest SCOOP 2023(.docx)Maintenance and Update Frequency:Imagery data will be updated as needed.Contact:Ontario Ministry of Natural Resources - Geospatial Services, imagery@ontario.ca

  12. a

    Ontario Digital Surface Model (Imagery-Derived)

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    • +2more
    Updated Aug 30, 2019
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    Ontario Ministry of Natural Resources and Forestry (2019). Ontario Digital Surface Model (Imagery-Derived) [Dataset]. https://hub.arcgis.com/maps/02e849bac00943d6a69c1488b9edb185
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    Dataset updated
    Aug 30, 2019
    Dataset authored and provided by
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    Zoom in on the map above and click your area of interest or use the Tile Index linked below to determine which package(s) you require for download. Note that the products from the SWOOP 2010 project are not currently packaged for download. To order data from this project see LIO Support – Large Data Ordering Instructions. Data sizes are listed below.

    The Digital Surface Models (DSM) are raster elevation products that were generated from the elevation point clouds created via pixel-correlation from aerial photography. A DSM is the highest reflective surface of ground features captured by the sensor. This surface may also be referred to as the first reflective surface. The DSM may include treetops, rooftops, and tops of towers, telephone poles, and other natural or artificial features; or it may include the ground surface if there is no vegetative ground cover.

    For more detailed information about this dataset, refer to the associated User Guide.

    Now also available through a web service which exposes the data for visualization, geoprocessing and limited download. The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connection using the REST endpoint URL. The service draws using the Web Mercator projection.

    For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.

    Service Endpoints

    https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DSM_ImageryDerived/ImageServer https://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DSM_ImageryDerived/ImageServer (Government of Ontario Internal Users)

    Additional Documentation

    Ontario DSM (Imagery-Derived) - User Guide (Word)

    Ontario DSM (Imagery-Derived) - Tile Index (SHP)

    SCOOP 2013 DSM - Vertical Accuracy Assessment (Word) SCOOP 2013 DSM - Vertical Accuracy Assessment - Data (SHP)

    Product Packages

    SWOOP 2010 - Chatham-Kent - 3.63 GB SWOOP 2010 - Elgin - 4.96 GB SWOOP 2010 - Essex - 5.0 GB SWOOP 2010 - Huron - 7.55 GB SWOOP 2010 - Lambton - 8.92 GB SWOOP 2010 - Middlesex

    Data Package Download Links for the Ontario DSM (Imagery-Derived) (Word) SCOOP 2013 DRAPE 2014 SWOOP 2015 SCOOP 2018 DRAPE 2019 SWOOP 2020 COOP 2021 NWOOP 2022

    Status On going: Data is continually being updated

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  13. s

    North West Ontario Orthophotography Project (NWOOP) 2017 - Imagery

    • geo1.scholarsportal.info
    • geo2.scholarsportal.info
    Updated Jun 14, 2018
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    Ontario Geospatial Data Exchange, Ministry of Natural Resources (2018). North West Ontario Orthophotography Project (NWOOP) 2017 - Imagery [Dataset]. http://geo1.scholarsportal.info/proxy.html?http:_giseditor.scholarsportal.info/details/view.html?uri=/NAP/OGDE_NWOOP2017jp2.xml&show_as_standalone=true
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    Dataset updated
    Jun 14, 2018
    Dataset authored and provided by
    Ontario Geospatial Data Exchange, Ministry of Natural Resources
    Time period covered
    Dec 20, 2017
    Area covered
    Description

    The Northwest Ontario Orthophotography (NWOOP) 2017 is an aerially acquired imagery data set. This product is 4 band RGBNiR orthophotography with a pixel resolution of 20 centimetres and is accurate to 50 centimetres on the ground at 90%. The dataset covers approximately 22,700 kilometres squared in northwest Ontario.

    The imagery was acquired in the spring of 2017 under the best conditions possible to achieve cloud free, snow free, ice free, smoke free, and leaf off captures. These conditions together were best represented in Northwestern Ontario during May 7 to May 19 during which time the imagery was acquired.

    The imagery was acquired by aerial photography and was later orthorectified using an elevation dataset generated through image correlation.

  14. c

    Imagery 2015 - Link to Ontario GeoHub

    • opendata.chatham-kent.ca
    Updated Apr 17, 2025
    + more versions
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    Municipality of Chatham-Kent (2025). Imagery 2015 - Link to Ontario GeoHub [Dataset]. https://opendata.chatham-kent.ca/documents/ad2cd091a7bf42cdbc4e1cf599ea8200
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Municipality of Chatham-Kent
    Description

    This is a link to the 2015 South Western Ontario Orthophotography Project (SWOOP) imagery. This link will take you to the Ontario geoHub's web map service. SWOOP imagery is owned by the province, if you have any questions please direct them to the contact of the Ontario geoHub.

  15. a

    Ontario Digital Surface Model (Imagery-Derived)

    • catalogue.arctic-sdi.org
    • ouvert.canada.ca
    • +1more
    Updated Jun 20, 2022
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    (2022). Ontario Digital Surface Model (Imagery-Derived) [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/7da1283b-ce60-4469-a2a0-5a1c8a52e5de
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    Dataset updated
    Jun 20, 2022
    Description

    The Ontario Digital Surface Model (Imagery-Derived) is a raster elevation product that was generated from the elevation point clouds created via pixel-correlation from aerial photography. 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 This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

  16. 2018 USACE/NCMP Hyperspectral Imagery: Ontario, NY

    • fisheries.noaa.gov
    geotiff
    Updated Dec 11, 2019
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    OCM Partners (2019). 2018 USACE/NCMP Hyperspectral Imagery: Ontario, NY [Dataset]. https://www.fisheries.noaa.gov/inport/item/58305
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    geotiffAvailable download formats
    Dataset updated
    Dec 11, 2019
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Sep 7, 2018 - Sep 15, 2018
    Area covered
    Description

    The mosaic images are comprised of multiple CASI 1500 scanlines that were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system along the shoreline of New York. CZMIL integrates a lidar sensor with topographic and bathymetric capabilities, a digital camera, and a Itres' CASI-1500 hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting ac...

  17. c

    Aerial Imagery (2019)

    • geohub.cambridge.ca
    • open-kitchenergis.opendata.arcgis.com
    • +2more
    Updated Dec 15, 2020
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    City of Waterloo (2020). Aerial Imagery (2019) [Dataset]. https://geohub.cambridge.ca/documents/f747426653de486d97aecbaed6c1a1d4
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    City of Waterloo
    License

    https://data.waterloo.ca/pages/open-data-licencehttps://data.waterloo.ca/pages/open-data-licence

    Description

    Aerial Imagery (.sid file) of the City of Waterloo captured in the Spring of 2019.Note: This is a large file and may take some time to download.

  18. Ontario Classified Point Cloud (Imagery-Derived)

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Aug 30, 2019
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    Ontario Ministry of Natural Resources and Forestry (2019). Ontario Classified Point Cloud (Imagery-Derived) [Dataset]. https://geohub.lio.gov.on.ca/maps/febf17330adb4100a22738e1684b5feb
    Explore at:
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    Ministry of Natural Resourceshttp://www.ontario.ca/page/ministry-natural-resources
    Authors
    Ontario Ministry of Natural Resources and Forestry
    Area covered
    Description

    If you are interested in obtaining a copy of this data, see LIO Support - Large Data Ordering Instructions. Data can be requested by project area or a set of tiles. To determine which project contains your area of interest or to view single tiles, zoom in on the map above and click. For bulk tile orders follow the link in the Additional Documentation section below to download the tile index in shapefile format. Data sizes by project area are listed below. Data sizes are listed below.

    The Ontario Classified Point Cloud (Imagery-Derived) is a classified elevation point cloud based on aerial photography. The point cloud has been classified into Unclassified, Ground and Noise categories and is structured in non-overlapping 1-km by 1-km tiles in a compressed format. For more details about the product see the User Guides linked below.

    Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. See the Ontario Digital Elevation Model (Imagery-Derived) for a representation of bare earth and the Ontario Digital Surface Model (Imagery-Derived) for a model representing all surface features.

    Additional Documentation

    Ontario Classified Point Cloud (Imagery-Derived) - User Guide (DOCX)

    Ontario Classified Point Cloud (Imagery-Derived) - Tile Index (SHP)

    Data Package Sizes

    SWOOP 2010 - 826 GB SCOOP 2013 - 118 GB DRAPE 2014 - 114 GBSWOOP 2015 - 112 GB COOP 2016 - 45.8 GB NWOOP 2017 - 126 GB

    Status On going: Data is continually being updated

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  19. a

    2015 Southwestern Ontario Orthophotography (SWOOP)

    • hub.arcgis.com
    • maps.grey.ca
    Updated May 10, 2023
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    Grey County (2023). 2015 Southwestern Ontario Orthophotography (SWOOP) [Dataset]. https://hub.arcgis.com/datasets/b90ee5b766fc4270a1b8bc2c415f2998
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    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    Grey County
    Area covered
    Description

    The Southwest Ontario Orthophotography (SWOOP) 2015 is an aerially acquired imagery data set. This product is 4 band RGBNiR orthophotography with a pixel resolution of 20 centimetres and is accurate to 50 centimetres on the ground at 90%. The dataset covers approximately 49,167 kilometres squared in Southwest Ontario. The imagery was acquired in the spring of 2015 under the best conditions possible to achieve cloud free, snow free, ice free, smoke free, and leaf off captures. These conditions together were best represented in Southwestern Ontario during April 12 to May 23 during which time the imagery was acquired. The imagery was acquired by aerial photography and was later orthorectified using an elevation dataset generated through image correlation. The acquisition was contracted out to Fugro Geospatial. An ADS100 Leica digital camera system was used to capture the imagery. This record represents metadata for the following data sets delivered by Fugro Geospatial: Orthorectified Imagery RGNiR 8 bit GeoTiff, Orthorectified RGBNiR 8 bit JPEG2000 10:1 Compression, Stereo Line Tiffs 16bit RGBNiR.

  20. d

    Chimney Bluffs point cloud from low-altitude aerial imagery from unmanned...

    • catalog.data.gov
    • datasets.ai
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Chimney Bluffs point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017 [Dataset]. https://catalog.data.gov/dataset/chimney-bluffs-point-cloud-from-low-altitude-aerial-imagery-from-unmanned-aerial-systems-u
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    New York, Lake Ontario
    Description

    Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic images; and digital elevation models for each of the survey regions. Collection of these data was supported by the Federal Emergency Management Agency, the State of New York Departments of State and Environmental Conservation, and the USGS Coastal and Marine Geology Program and was conducted under USGS field activity number 2017-042-FA.

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Land Information Ontario (2014). Ontario Imagery Web Map Service (OIWMS) [Dataset]. https://hub.arcgis.com/maps/101295c5d3424045917bdd476f322c02

Ontario Imagery Web Map Service (OIWMS)

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Dataset updated
Mar 31, 2014
Dataset authored and provided by
Land Information Ontario
Area covered
Description

The Ontario Imagery Web Map Service (OIWMS) is an open data service available to everyone free of charge. It provides instant online access to the most recent, highest quality, province wide imagery. GEOspatial Ontario (GEO) makes this data available as an Open Geospatial Consortium (OGC) compliant web map service or as an ArcGIS map service. Imagery was compiled from many different acquisitions which are detailed in the Ontario Imagery Web Map Service Metadata Guide linked below. Instructions on how to use the service can also be found in the Imagery User Guide linked below.Note: This map displays the Ontario Imagery Web Map Service Source, a companion ArcGIS web map service to the Ontario Imagery Web Map Service. It provides an overlay that can be used to identify acquisition relevant information such as sensor source and acquisition date. OIWMS contains several hierarchical layers of imagery, with coarser less detailed imagery that draws at broad scales, such as a province wide zooms, and finer more detailed imagery that draws when zoomed in, such as city-wide zooms. The attributes associated with this data describes at what scales (based on a computer screen) the specific imagery datasets are visible.Available ProductsOntario Imagery OCG Web Map Service – public linkOntario Imagery ArcGIS Map Service – public linkOntario Imagery Web Map Service Source – public linkOntario Imagery ArcGIS Map Service – OPS internal linkOntario Imagery Web Map Service Source – OPS internal linkAdditional DocumentationOntario Imagery Web Map Service Metadata Guide (PDF)Imagery User Guide (Word)StatusCompleted: Production of the data has been completedMaintenance and Update FrequencyAnnually: Data is updated every yearContactOntario Ministry of Natural Resources, Geospatial Ontario, imagery@ontario.ca

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