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    Concentration levels from soil sampled in urban and rural parklands in the province. Data includes: * station name and location (rounded to 1 km precision) * sample date * results for 35 inorganics (1991) * results for 8 volatile organic compounds (2009)

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    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.

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    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.

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    The Ontario Lidar Digital Terrain Model (DTM) Land Information Ontario (LIO) 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.

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    These maps are available for the Far North Land Use Planning Area at 2 scales (1:100,000 and 1:250,000). The maps were created as a resource for community-based Land Use Planning in the Far North of Ontario.

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    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. 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.

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    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.

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    The LIO Topographic Data Cache is a collection of topographic data, that has been preprocessed for fast, seamless display at predefined scales. The topographic data includes constructed and natural features that make up Ontario’s landscape. The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories. __Technical information__ Two versions of the LIO Topographic Data Cache are available: 1. The traditional raster version is available for a variety of GIS applications and is updated annually. 2. The vector version is suitable for online web map applications as well as modern GIS software and is updated twice a year. Contributing data layers may have different maintenance and update cycles. Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data. The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data. The LIO Topographic Data Cache is created from many source datasets, which are described in the LIO Topographic Data Cache user guide. If you are interested in getting this authoritative data, you can download it from the [Ontario GeoHub](http://www.ontario.ca/geohub). For instructions on getting a copy of either version of the cache for use in mapping applications, visit the [Ontario GeoHub](http://www.ontario.ca/geohub).

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    The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: * unclassified * ground * water * high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy 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. __Related data:__ Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Terrain Model (Lidar-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Lidar-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-lidar-derived/about).

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    The Ontario Stewardship Program has established Stewardship Councils across Ontario. Ministry of Natural Resources and Forestry 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.