This dataset is often used by users without access to the Provincial Forest Resource Inventory data, which contains information like municipalities and non-profit groups not affiliated with monitoring or maintaining the Forest Resource Inventory.

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

This dataset is a collection of 3D mass points and breakline features that were interpreted using photogrammetry from aerial photography. The elevation data is organized into tiles grouped into packages for download. 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.

Elevation data is the representation of the height of the ground at a location on earth. This data allows users to discover the extent of elevation products, and the metadata associated with it.

This spatial polygon layer contains all the standardized plots used for the Ministry of Natural Resources’ moose aerial inventory program. The geographic area includes Central and Northern Ontario. These plots are based on the Military Grid Reference System (MGRS) and the coordinates are based on the Universal transverse Mercator (UTM) coordinate system.

This dataset contains technical and descriptive metadata about digitized images, including: * creator * format type (e.g. black and white print, map) * date of creation * archival reference code * geographic location * subject matter * image number The dataset does not include actual digitized images. [View sample images from the collection here](http://ao.minisisinc.com/scripts/mwimain.dll/144/IMAGES?DIRECTSEARCH). Please note that the actual images are not published under the Open Government Licence.