The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program. It was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the GEO 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)](https://geohub.lio.gov.on.ca/datasets/febf17330adb4100a22738e1684b5feb). 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)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-elevation-model-imagery-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-imagery-derived/about).

Interactive web application of Canada’s forest management classification, used in the Story Map of Forest Management in Canada, 2017. Interactive web application of Canada’s forest management classification, used in the Story Map of Forest Management in Canada, 2017. Explore Canada's forest management classification using this interactive web application. The application provides the following widgets or tools: The Bookmarks tool provides shortcuts to Canada's provinces and territories. The Query tool provides forest management classification areas for selected provinces and territories. The Infographic tool illustrates forest management classification areas. Source: This application shows forest management in Canada areas, as of June 2017, and includes data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

Web Map contains all layers of Saskatchewan Upgraded Road Network (SURN).

Annual Average Daily Traffic for individual road sections across the Province, for the year 2015.

An interactive online atlas that shares culture, history, traditional knowledge and land use of the Gwich'in through place names.

Canadas Managed Forests 2020 Vector Tile Layer

A list of all Public Schools Branch and Commission scolaire de langue française schools.

Water well records contain details of the location, construction, and groundwater level of wells drilled on Prince Edward Island.

Many geometrical schemes - or map projections - are used to represent the curved surface of the Earth on map sheets. Canada uses the **Universal Transverse Mercator** (UTM) system. It is called transverse because the strips run north-south rather than east-west along the equator.This data class shows a 100 km x 100 km grid coordinate system based on the UTM projection using the North American Datum 83 (NAD83). It includes: * Military Grid Reference * Atlas identifier

286 LiDAR derived Watersheds modified for coastal flooding by the Resource Inventory & Modelling Section. There is an increase from the 260 original watersheds to aid in mapping flood scenarios over smaller areas.