This dataset contains Lake Ontario prey fish abundance and distribution statistics, collected every year during spring and fall bottom trawl surveys. The New York State Department of Environmental Conservation and the U.S. Geological Survey have conducted annual, spring and fall bottom trawl surveys in U.S. waters of Lake Ontario since 1978. In 2015, the Ministry of Natural Resources and Forestry started contributing to this program to include survey coverage in Ontario waters. The ministry also intermittently conducts mid-water trawling during the summer months on a limited geographic area largely confined to the Eastern Basin. The survey has varied sample distribution across lake depths and jurisdictions. The south shore of Lake Ontario has well-distributed coverage of depths between 8 and 200 metres. Coverage along the north shore is less uniform due to a lack of suitable trawl sites at shallower depths.

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).

2015 to 2018 Capital Roads

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.

Annual Average Daily Traffic for individual road sections across the Province, for the calendar year 2016.

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

The Flood Hazard Map Index provides awareness of the areas at risk of flooding and support for improved decision making for activities and development in flood prone areas. Scanned, black and white images of New Brunswick Flood Risk Map Sheets.

This layer contains polygon features that represent geological units in New Brunswick. The associated Bedrock Geology Relate Table contains details about each map unit, including: a brief legend description, Group name, Formation name, and rock age. This layer is the result of nearly 50 years of bedrock mapping and it continues to change as new interpretations are made and more data is collected through field work and analysis.