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 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.

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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 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 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.

This data, also known as the Linear Highway Referencing System (LHRS), is used to locate events along the highway network. Three separate files make up the LHRS dataset: LHRS route is a spatial (GIS) representation of the highway network; LHRS Base Points divide the highway network into base sections with known driven distances; LHRS features points (composite listing) are additional described locations along the highway network. The location of events can be identified by a driven distance, along the LHRS route from a given LHRS Base point or feature point. *[GIS]: Geographic Information System *[LHRS]: Linear Highway Referencing System

All bridges in Ontario are inspected every 2 years using the Ontario Structure Inspection Manual (OSIM) format. The weighted condition of all elements is summarized in the Bridge Condition Index (BCI). More details about the BCI can be found on [the Bridge Safety page](http://www.mto.gov.on.ca/english/highway-bridges/ontario-bridges.shtml) on the Ministry of Transportation website. Bridges that were recently constructed or recently transferred to the Ministry of Transportation may not have been inspected in OSIM format yet. *[OSIM]: Ontario Structure Inspection Manual *[BCI]: Bridge Condition Index

Data is collected each year, according to the lake-by-lake cycle. Information includes: * sediment chemistry * approximately 80 index and reference stations throughout the Great Lakes basin