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.

This dataset consists of information from reports received by the Spills Action Centre (SAC). They are generated and completed by SAC following the initial report of a spill. The data includes: * the reference number assigned to the spill * the municipality in which the spill occurred * what was impacted (e.g. land, water, air, or combination) * the substance being discharged (e.g. oil, gases, chemical, etc.) * whether the environmental impact is confirmed, possible, or not anticipated, and * the source/sector of the spill. The data reflects the information as reflected in the report, following the incident. All spills reported to SAC are recorded in the database, regardless of whether or not the Ministry provides field response. [Get more information on the Spills Action Centre](https://ontario.ca/environment-and-energy /report-spill). *[SAC]: Spills Action Centre *[etc.]: et cetera *[e.g.]: for example

This Ontario Hydro Network (OHN) small scale dataset is intended for cartographic and web mapping display purposes, not for analytical work. Small scale waterbody, watercourse and shoreline data is available at the following seven scales: * 1:100,000 * 1:200,000 * 1:500,000 * 1:1,000,000 * 1:2,000,000 * 1:5,000,000 * 1:10,000,000 Search the [Land Information Ontario (LIO) Warehouse OHN Products Composite File Geodatabase](https://geohub.lio.gov.on.ca/datasets/land-information-ontario-lio-warehouse-ontario-hydro-network-ohn-products-composite-file-geodatabase) to download a file geodatabase of all the OHN’s publicly available (Open) derivative cartographic products taken from the LIO Warehouse on a bi-weekly basis.

The Standardized Precipitation Index (SPI) was generated for certain Environment Canada long-term climate stations in Ontario. The SPI quantifies the precipitation deficit and surplus for multiple time scales , including: * one month * three months * six months * nine months * 12 months * 24 months You can use the SPI to study the impact of dry and wet weather conditions to create comprehensive water management approaches. The SPI data package is distributed as a Microsoft Access Geodatabase. __This is a legacy dataset that we no longer maintain or support.__ The documents referenced in this record may contain URLs (links) that were valid when published, but now link to sites or pages that no longer exist.

The Ontario Stewardship Program has established Stewardship Councils across Ontario. Ministry of Natural Resources staff no longer directly administer and support Ontario Stewardship Councils. Community-based partners and stakeholders now independently administer Stewardship Councils. We are no longer updating this data. It is best suited for historical research and analysis. __Stewardship Zone__ The Ontario Stewardship Program divides the province into four administrative regions or zones. Any given Stewardship Council will fall into one of these zones. __Stewardship Council Area__ The Ontario Stewardship Program established Stewardship Councils across southern Ontario and a portion of Northern Ontario. Where these councils have defined administrative boundaries, the location is stored in this data class. __Stewardship Council Location__ Most councils have established administrative boundaries that generally conform to upper tier municipalities. There are some councils in Northern Ontario which are generally located in and around a certain geographic location but do not have established administrative boundaries. This data class is primarily used to store point locations associated with these northern councils.

Data are contaminants in tissue of caged mussels put in the river for 3 weeks at about 25 stations located on the Canadian and US side of the river. The main objective of the study is to identify contaminant sources, or source areas requiring more detailed follow-up investigations, based on the level  of contaminants in the mussels. Compounds monitored include: * organochlorinated pesticides * Polychlorinated biphenyls * dioxins/furan * chlorinated benzenes * Polycyclic aromatic hydrocarbons * industrial organic compounds

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)]( 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).

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 Digital Surface Model (DSM) (Lidar-Derived) Land Information Ontario dataset is a raster product that provides a representation of both surface and ground features derived from a classified lidar point cloud. 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 The DSM data is available in 1 km by 1 km non-overlapping tiles grouped into packages for download. This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters and sensors may vary by project. 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.

The Ontario Lidar Digital Terrain Model (DTM) Geospatial Ontario (GEO) Dataset is a raster product representing the bare-earth terrain derived from a classified lidar point cloud. The DTM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download. This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. 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.