Zoom in on the map above and click your area of interest to determine which package(s) you require for download.

A three-dimensional raster data set which represents a continuous elevation surface. This data set encompasses the Greater Toronto Area (GTA) and the surrounding area from Niagara to Lake Simcoe and the Kawartha Highlands to Port Hope. The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m.

This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies.

This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model.

The source data for the GTA 2002 DEM can be found in the Ontario Mass Points and Breaklines.

Product Packages

GTA 2002 DEM - North East GTA 2002 DEM - North West GTA 2002 DEM - South West

Additional Documentation

GTA DEM 2002 - User Guide (Word)

GTA 2002 DEM Tile Index (.Zip)

Status

Completed: Production of the data has been completed

Maintenance and Update Frequency

Not planned: there are no plans to update the data

Contact

Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

Requests must be made to map library staff at above email address and a licence agreement signed. Combines topography and parcel mapping. The series provides a base for thematic mapping services and other published hardcopy products.Depicts the following features:building envelopesbuilding outlinesrailway linesmajor watercoursesmunicipal addressescurbspark names street namesproperty linesright of way boundaries etc.

The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m. This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies. This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model. Official GEO title: Greater Toronto Area digital elevation model 2002 *[DEM]: Digital Elevation Model

Green Spaces is a geospatial dataset of polygons that is a point-in-time generalized representation of existing parks and open spaces within the City of Toronto. Green Spaces includes public parks, beaches, parts of ravines, golf courses, cemeteries, and other open space areas such as those offered by various private institutions. These spaces may or may not be publicly accessible and are either publicly owned/maintained or they are privately owned/maintained. Green Spaces is not an exhaustive dataset of all the public and private parks and open spaces within the City. It does not encompass all areas protected by the Ravine and Natural Feature Protection By-Law, by Environmentally Significant Areas or by Natural Heritage Areas. Green Spaces is primarily intended to visualize our existing overall parks and open space system. It is used to symbolize the green coloured areas in many of the City's mapping products such as Toronto's Interactive Map or the Toronto Parkland Strategy[^1]. This dataset is jointly maintained by the Geospatial Competency Centre (GCC) and the Parks, Forestry & Recreation division (PFR). The attribute field in this dataset titled "AREA_CLASS" indicates whether the GCC or PFR maintain the data and the type of green space it is. PFR Green Spaces PFR Green Spaces are owned and/or operated by the City of Toronto and are derived from PFR's Parkland Asset Repository. They include the area classes: Park, Golf Course, Cemetery, Hydro Field/Utility Corridor, and others. Representation of Green Spaces can change overtime – due to new park acquisitions, development/reconfiguration of land etc. – PFR works to continuously improve the City-PFR-owned portions of this dataset as new information arises. GCC Green Spaces All other Green Spaces were created by the GCC and include area classes with the prefix of "OTHER_". These green spaces are derived through city-wide parcel analysis. [^1]This Green Spaces layer cannot be used to reproduce the results of the 2019 Parkland Strategy, however the GCC Green Spaces portions of the dataset was used to help visualize Other Open Spaces in "Figure 06: Toronto’s Parks and Open Space Network" of the report. The Toronto Parkland Strategy is currently in the process of being updated and new parkland data is not yet finalized.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

A hydrologically conditioned Digital elevation Model has been developed for the Greater Toronto Area of southern Ontario and for Lake Ontario. The model has been developed from 1:50 000 NTDB data onshore and Canadian Hydrographic Service bathymetric point data for Lake Ontario. Terrain specific interpolation and drainage enforcement techniques within the ARC/INFO TOPOGRID software module were used to interpolate the data to a gred cell of 30m. Verification of the model demonstrates that elevations are correct to plus or minus 3m. This digital elevation model is suitable for the automatic delineation of watersheds. This report documents the development of the model included on this compact disc. The model was developed as part of the Geological Survey of Canada Oak Ridges Moraine National Mapping and Hydrogeology programs in conjunction with the Ontario Ministry of Natural Resources and the Canadian Hydrographic Service. ; 3 metre accuracy

Available on CD Rom at the Map and Data Library. CD #015.

Zoom in on the map above and click your area of interest or use the Tile Index linked below to determine which package(s) you require for download. The DSM 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. See the detailed User Guide linked below for additional information.

You can monitor the availability and status of lidar projects on the Ontario Lidar Coverage map on the Ontario Elevation Mapping Program hub page.

Now also available through a web service which exposes the data for visualization, geoprocessing and limited download. The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connectionusing the REST endpoint URL. The service draws using the Web Mercator projection.

For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.

Service Endpoints

https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DSM_LidarDerived/ImageServer https://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DSM_LidarDerived/ImageServer (Government of Ontario Internal Users)

Additional Documentation

Ontario DSM (Lidar-Derived) - User Guide (DOCX)

OMAFRA Lidar 2016-2018 -Cochrane-Additional Contractor Metadata (PDF) OMAFRA Lidar 2016-2018 -Peterborough-AdditionalContractorMetadata (PDF) OMAFRA Lidar 2016-2018 -Lake Erie-AdditionalContractorMetadata (PDF) CLOCA Lidar 2018 - Additional Contractor Metadata (PDF) South Nation Lidar 2018-19 - Additional Contractor Metadata (PDF) OMAFRA Lidar 2022 - Lake Huron - Additional Contractor Metadata (PDF) OMAFRA Lidar 2022 - Lake Simcoe - Additional Contractor Metadata (PDF) Huron-Georgian Bay Lidar 2022-23 - Additional Contractor Metadata (Word) Kawartha Lakes Lidar 2023 - Additional Contractor Metadata (Word) Sault Ste Marie Lidar 2023-24 - Additional Contractor Metadata (Word) Thunder Bay Lidar 2023-24 - Additional Contractor Metadata (Word) Timmins Lidar 2024 - Additional Contractor Metadata (Word)

Ontario DSM (Lidar-Derived) - Tile Index (SHP) Ontario Lidar Project Extents (SHP)

Product Packages Download links for the Ontario DSM (Lidar-Derived) (Word) Projects:

LEAP 2009 GTA 2014-18 OMAFRA 2016-18 CLOCA 2018 South Nation CA 2018-19 Muskoka 2018-23 York-Lake Simcoe 2019 Ottawa River 2019-20 Ottawa-Gatineau 2019-20 Lake Nipissing 2020 Hamilton-Niagara 2021 Huron Shores 2021 Eastern Ontario 2021-22 OMAFRA Lake Huron 2022 OMAFRA Lake Simcoe 2022 Belleville 2022 Digital Elevation Data to Support Flood Mapping 2022-26 Huron-Georgian Bay 2022-23 Kawartha Lakes 2023 Sault Ste Marie 2023-24 Sudbury 2023-24 Thunder Bay 2023-24 Timmins 2024

Greater Toronto Area Lidar 2023

Status On going: Data is continually being updated

Maintenance and Update Frequency As needed: Data is updated as deemed necessary

Contact Ontario Ministry of Natural Resources - Geospatial Ontario,geospatial@ontario.ca

Exploring new ways to share information with each other is a cornerstone of improving the planning process. To do this it is essential to have city-wide data in accessible formats. A variety of 3D digital information and models exist but currently the data is not readily available to the general public. Providing a consistent city-wide 3D data source will link these digital city planning models and materials together and will allow us to imagine our city from different perspectives. The Open Data site will enable access to application developers, designers, urban planners and architects, and the public. Ideally this will enable the creation of a visual portal and access to a large collection of city building ideas. Further to the Open Government Licence, the Context Massing Model is being provided by City Planning on the Open Data website for information and illustrative purposes only. City Planning does not warranty the completeness, accuracy, content, or fitness for any precision purpose or use of context massing model for such purposes, nor are any such warranties to be implied or inferred with respect to Context Massing Model as furnished on the website. City Planning and the City are not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use of Context Massing Model, or applications utilizing Context Massing Model, provided by any third party. Context Massing Model MUST BE VERIFIED BY THE USER FOR LEGAL OR OFFICIAL USE. Please use this Interactive Map to locate the 3D Massing tiles for SketchUp and AutoCAD format For further information visit the Urban Design web site A note on property assessments: MPAC (Municipal Property Assessment Corporation) holds copyright on many aspects of data around properties. The City of Toronto is unable to provide this data. From the MPAC website: MPAC 's range of services includes: Preparing annual Assessment Rolls for use by municipalities and the Province to calculate property and education taxes. Assessment Maps and Ontario Parcel (TM) In 2005, MPAC, the Ontario Government and Teranet Enterprises Inc. completed the Ontario Parcel(TM) - an ambitious project that brings assessment, ownership and land parcel data for almost 4.6 million properties into a standardized digital database. ... The Ontario Parcel(TM) is available to Ontario municipalities, public organizations and private businesses. Among other things, the Ontario Parcel(TM) data can be applied to property assessment and taxation, land registration, land use planning, land management and business planning. With the implementation of the Ontario Parcel (TM) and the digital mapping environment, MPAC no longer produces paper assessment maps. If you would like more information about the products and services available under the Ontario Parcel (TM), please visit the Ontario Parcel (TM) website at www.ontarioparcel.ca. You will need to contact MPAC directly for data that you may perceive as missing. MPAC website.

Historical map showing lot and concession numbers, place names, railroads, ward boundaries and county boundaries. Scale: 2 1/2 miles per inch. Map date: 1879 Relief shown by hachures. Map is page 19 of the Atlas of the province of Ontario by counties / published by Miles and Companay, Toronto. Digital reproduction of map (30 x 41 cm.) in the Brock University Map, Data & GIS Library collection. Georeferenced and modified from Brock call# G 3464 S35 1879 M55 by Map, Data and GIS Library, Brock University.

This time-enabled map service depicts the growth of the Canadian Railroad between 1835 and 1995,. This map service also contains data on Railway Station locations across Canada.Map Service published and hosted by Esri Canada, © 2011.Lesson: A web map that combines this map service with a documented lesson can be found here. Canada's Historic Railway lesson leads the student to analyze the scope and spread of the railway's construction from the late 1800's onward.Content Source(s):Historical Atlas of Canada . Volume II: The Land Transformed, 1800-1900. Edited by R. Louis Gentilcore; Assistant editors Don Measner, Ron Walder; Cartographic editor: Geoffrey Matthews. Toronto : University of Toronto Press, 1993.Historical Atlas of Canada . Volume III: Addressing the Twentieth Century. Edited by Donald Kerr and Deryck Holdsworth; Assistant editors:Susan Laskin, Murdo Macpherson; Cartographic editor: Geoffrey Matthews. Toronto : University of Toronto Press, 1987.Andreae, Christopher. Lines of Country: An Atlas of Railway and Waterway History in Canada. Erin, Ontario: Boston Mills Press, 1997Geogratis, National Atlas of Canada, Atlas of Canada Base maps, 1:2 000 000 layers. National Atlas of Canada, National Scale Frameworks, 1:1 000 000 layers. http://geogratis.cgdi.gc.ca/clf/en?action=atlasvectorsHistorical Atlas of Canada Online Learning Project: www.historicalatlas.ca

The Ontario Railway Network (ORWN) is seven data classes that represent the Ontario government’s initiative to adapt the federal GEOBASE standard for the National Railway Network (NRWN) geospatial data.

The seven data classes include:

ORWN Track (Download: Shapefile | File Geodatabase) ORWN Crossing (Download: Shapefile | File Geodatabase) ORWN Junctions (Download: Shapefile | File Geodatabase) ORWN Marker Posts (Download: Shapefile | File Geodatabase) ORWN Structure Lines (Download: Shapefile | File Geodatabase) ORWN Structure Points (Download: Shapefile | File Geodatabase) ORWN Station (Download: Shapefile | File Geodatabase)

Although mainly used as a base data features appearing on cartographic products, users will benefit from having additional railway-associated attributes available to them in the ORWN suite of data.

Additional Documentation

ORWN - User Guide (Word)

ORWN Track - Data Description (PDF)ORWN Track - Documentation (PDF)ORWN Crossing - Data Description (PDF)ORWN Crossing - Documentation (Word)

ORWN Junction - Data Description (PDF)ORWN Junction - Documentation (Word)ORWN Marker Post - Data Description (PDF)ORWN Marker Post - Documentation (Word)

ORWN Structure Line - Data Description (PDF)

ORWN Structure Line - Documentation (Word)ORWN Structure Point - Data Description (PDF)ORWN Structure Point - Documentation (Word)ORWN Station - Data Description (PDF)ORWN Station - Documentation (Word)

Status

Required: data needs to be generated or updated

Maintenance and Update Frequency

Not planned: there are no plans to update the data

Contact

Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca