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uav imagery by Sean Frey, acquired 2025-10-15 to 2025-10-15, 3.4 cm per pixel, published on OpenAerialMap.
uav imagery by Sean Frey, acquired 2025-08-04 to 2025-08-04, 3.7 cm per pixel, published on OpenAerialMap.
balloon imagery by Scott Shawcroft, acquired 2025-08-07 to 2025-08-07, 1.6 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-08-08 to 2025-08-08, 2.0 cm per pixel, published on OpenAerialMap.
uav imagery by Hawkinson Aerial Photography, LLC, acquired 2025-08-19 to 2025-08-19, 14.9 cm per pixel, published on OpenAerialMap.
uav imagery by Alsid Prime, acquired 2025-09-24 to 2025-09-24, 4.5 cm per pixel, published on OpenAerialMap.
uav imagery by Sean Frey, acquired 2026-05-13 to 2026-05-13, 3.5 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-08-10 to 2025-08-10, 2.0 cm per pixel, published on OpenAerialMap.
Official Plan Land use structure for Brampton Plan Schedule 1A. Land Use Designations identify the general intended use and function of land throughout the city. These designations provide the framework for growth and development by directing where rCommunity Areas, Employment Areas, Natural Heritage System, Provincial Highways, and other land uses are permitted, helping to create complete and connected communities. This data is intended to be used in conjuction with other related mapping layers for this schedule, and may be impacted by other schedules, with consideration to the text of Brampton Plan.
uav imagery by Robert Howe, acquired 2025-10-07 to 2025-10-07, 2.7 cm per pixel, published on OpenAerialMap.
uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 3.6 cm per pixel, published on OpenAerialMap.
satellite imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.1 cm per pixel, published on OpenAerialMap.
uav imagery by Sean Frey, acquired 2025-10-22 to 2025-10-22, 3.4 cm per pixel, published on OpenAerialMap.
The dataset was created to make social value catering options available to municipal staff across every district who are seeking catering services. Metadata
satellite imagery by -, acquired 2025-12-02 to 2025-12-02, 48.6 cm per pixel, published on OpenAerialMap.
The National Flood Hazard Layer (NFHL) dataset represents the current effective flood risk data for those parts of the country where maps have been modernized by the Federal Emergency Management Agency (FEMA). The data in this service was published by FEMA as of July 18, 2025 (Latest Study Effective Date = 07/08/2025; Latest LOMR Effective Date = 07/09/2025). Also see the Feature Service and Tile service. See full details.
uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 3.3 cm per pixel, published on OpenAerialMap.
To provide transparent, self‑serve access to arena scheduling for planning, reporting, and public insight, while giving partners and vendors consistent, automated data and reducing reliance on manual report requests. Not all HRM arenas are yet included. Data reflects the booking system at the time of extract and may change. Times use Atlantic Time (Halifax, NS; DST observed). Individual client names are masked as “Private Booking”. Metadata
uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.0 cm per pixel, published on OpenAerialMap.
Mapping depicts the Lester B. Pearson International Airport (LBPIA) operating area, which effects various land use requirements. This layer is similar to the linear dataset on other schedules. The Lester B. Pearson International Airport Operating Area identifies lands influenced by airport operations, including aircraft noise and flight activity. Planning and development within this area must consider aviation safety, noise compatibility, and airport protection requirements while supporting appropriate land uses. This data is intended to be used in conjuction with other related mapping layers for this schedule, and may be impacted by other schedules, with consideration to the text of Brampton Plan.
Mapping depicts Brampton Plan High Potential Mineral Aggregate Resource Area (HPMARA) in Schedule 9 identifies primary and secondary sand and gravel resources, as well as bedrock resources that are not constrained by Provincial, Region of Peel or City of Brampton policies and are to be protected for long-term use. Further constraints to extraction within and outside of HPMARA are subject to the Region of Peel Official Plan, Secondary Plan Area 52 – Heritage Heights (upon approval), and Corridor Protection Policies of this Plan and Greenbelt Plan. This data is intended to be used in conjuction with other related mapping layers for this schedule, and may be impacted by other schedules, with consideration to the text of Brampton Plan.
Brampton Plan (Official Plan) Land Use data is composed of polygons defining the Land Use policies areas for NW Brampton Urban Development Area. This data is part of the Official Plan mapping data series and is intended to be combined with all of the related Official Plan datasets to form a complete map. Brampton Plan establishes a range of designations shown on Schedule 2, which form Our Strategy for Building an Urban City. Schedule 1A identifies the different overlays that apply, identifying key areas for growth over the planning horizon of this Plan. The Northwest Brampton Development Area is a strategically planned growth area intended to accommodate new residential communities, employment opportunities, parks, schools, infrastructure, and supporting services. Development is guided by approved secondary plans and city-building objectives that promote complete and connected communities. This data is intended to be used in conjuction with other related mapping layers for this schedule, and may be impacted by other schedules, with consideration to the text of Brampton Plan.
This dataset represents the locations of licenced and permitted pits and quarries regulated by the Ministry of Natural Resources and Forestry (MNRF) under the Aggregate Resources Act, R.S.O. 1990. Aggregate site data has been divided into active and inactive sites. Active sites may be further subdivided into partial surrenders. In partial surrenders, defined areas of a site are inactive while the rest of the site remains active. The data includes: site location and size licensee name approval type (licence or permit) operation type (pit or quarry) maximum annual tonnage limit the MNRF district responsible for the site Use our interactive Pits and Quarries map to find active sites. This data does not include aggregate sites regulated by the Ministry of Transportation. Additional Documentation Aggregate Site Authorized - User Guide (PDF) Aggregate Site Authorized - Partial Surrender - Data Description (PDF) Aggregate Site Authorized - Partial Surrender - Documentation (Word) Status On going: Data is continually being updated Maintenance and Update Frequency Continual: Data is repeatedly and frequently updated Contact Ryan Lenethen, Policy Analyst, ryan.lenethen@Ontario.ca
Overview This feature service provides bike lane information for Westbank First Nation (WFN), supporting the mapping and management of current and proposed cycling infrastructure within the community. Feature Layer Bike Lanes — A line feature layer representing bike lane routes and related trail segments. It includes descriptive attributes such as lane name, location, ownership, trail type, current or future status, roadway context, speed limit, lane count, and notes to support planning and reference. Geographic Coverage The service covers Westbank First Nation (WFN) lands in the Central Okanagan region of British Columbia. Use Cases Cycling and active transportation planning Public information and route reference Infrastructure inventory and maintenance support Transportation and recreation mapping Source and Licensing Owned and maintained by Westbank First Nation (WFN), the content is made available under the Regional District of Central Okanagan open data license and related terms of use.
Overview This feature service provides parcel-level cadastre for Westbank First Nation lands. It includes parcel polygons and related linework used to represent legal land boundaries, parcel locations, and associated land records. Content Parcel boundaries and supporting linework for land administration and mapping. Reference information such as legal descriptions, folio details, civic address components, parcel identifiers. Area and positional accuracy attributes that support interpretation of parcel extent and confidence in mapped geometry. Geographic Coverage The service covers the Westbank First Nation area within the Central Okanagan region of British Columbia. Use Cases Viewing and identifying parcel boundaries and legal land information. Supporting land administration, planning, and cadastral reference workflows. Locating parcels by address, plan, lot, or related property identifiers. Reviewing parcel attributes for zoning, land use, and basic property context. Data Notes Distances and areas should be treated as approximate.
Overview This feature service provides a municipal planning layer for the Hillside Development Permit Area in Peachland. It represents the area designated for hillside development permit oversight and supports land use review, development planning, and geographic reference within the District of Peachland. Layer Hillside Development Permit Area (PCH) contains polygon features that define the permit area boundary associated with hillside planning and development regulations. The layer includes a name attribute for identifying the area and standard feature identifiers for GIS use. Geographic Coverage The service covers The District of Peachland within the Regional District of Central Okanagan Use Cases Planning and development permit administration Land use review and environmental screening Municipal and regional mapping Public reference for hillside development areas Source and Use Information Owned by the Distrcit of Pleachand, published by the GIS Section of the Regional District of Central Okanagan for Peachland and distributed under the Regional District of Central Okanagan Open Data License.
This image service is a mosaic of colour digital air photos of the municipality of Kingston, Ontario captured as part of the Digital Raster Acquisition Project for the East (DRAPE) project in spring 2019. UTM Zone 18, NAD83 projection. Original images captured at 20cm resolution, CSRS projection
Overview This map layer prepared by the Commission for Environmental Cooperation (CEC) presents the cumulative impact of human activities on marine ecosystems across North America based on Halpern et al. 2008. A global map of human impact on marine ecosystems. Science 319 (5865): 948–952. To generate this map, a research team collected or created global maps of 17 different human activities, such as fishing and pollution, that have an impact on marine ecosystems, as well as maps of different marine ecosystems. The team quantified the vulnerability of each marine ecosystem to the different human activities, and this map of human impacts was made by combining the threat maps and the vulnerability scores. Geographic Coverage The coverage spans North American marine areas, including the Atlantic, Pacific, and Arctic Oceans, the Gulf of Mexico, and the Caribbean Sea. Data Sources and Licensing Commission for Environmental Cooperation (CEC), National Center for Ecological Analysis and Synthesis, Halpern et al. (2008). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Not planned Limitations of use: Acknowledgment of the Commission for Environmental Cooperation and/or the National Center for Ecological Analysis and Synthesis is appreciated in products derived from these data. Vintage: 2007–2008 Applications (Intended Use) Marine spatial planning and ecosystem-based management. Allocation of conservation resources and identification of priority areas for protection. Assessing cumulative human pressures on ocean ecosystems for research and education. Supporting cross-border environmental cooperation and policy-making among North American nations. Files Download
Overview This layer, prepared by the Commission for Environmental Cooperation (CEC), represents the month of March within a dataset of 12 raster files (one for each month) representing total precipitation values across North America for the 1981–2010 climatological reference period, in millimeters. The dataset is derived from a kilometer-scale climate product generated using the CHELSA downscaling model and represents long-term climatological means. The North American monthly precipitation layers were derived from the CHELSA Climatologies v2.1 dataset, which is based on statistically downscaled temperature and precipitation data at a spatial resolution of 30 arc-seconds (~1 km). CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) applies a statistical downscaling approach to atmospheric precipitation fields to produce high-resolution climate surfaces. Additional technical details on the downscaling methodology and derived climate predictors are provided in: Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122 Geographic Coverage The coverage spans North America, including Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC). Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Karger et al. (2017). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation and the (CHELSA) initiative at the Swiss Federal Research Institute WSL (Land Change Science group) would be appreciated in products derived from these data. Vintage: 1981-2010 Applications (Intended Use) Analyzing spatial and seasonal patterns of monthly precipitation across North America. Supporting climate, hydrological, and water-resource research and planning. Informing agricultural and ecological modeling and land-use planning. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download
Overview This layer, prepared by the Commission for Environmental Cooperation (CEC), represents the month of May within a dataset of 12 raster files (one for each month) representing total precipitation values across North America for the 1981–2010 climatological reference period, in millimeters. The dataset is derived from a kilometer-scale climate product generated using the CHELSA downscaling model and represents long-term climatological means. The North American monthly precipitation layers were derived from the CHELSA Climatologies v2.1 dataset, which is based on statistically downscaled temperature and precipitation data at a spatial resolution of 30 arc-seconds (~1 km). CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) applies a statistical downscaling approach to atmospheric precipitation fields to produce high-resolution climate surfaces. Additional technical details on the downscaling methodology and derived climate predictors are provided in: Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122 Geographic Coverage The coverage spans North America, including Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC). Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Karger et al. (2017). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation and the (CHELSA) initiative at the Swiss Federal Research Institute WSL (Land Change Science group) would be appreciated in products derived from these data. Vintage: 1981-2010 Applications (Intended Use) Analyzing spatial and seasonal patterns of monthly precipitation across North America. Supporting climate, hydrological, and water-resource research and planning. Informing agricultural and ecological modeling and land-use planning. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download
Overview This layer, prepared by the Commission for Environmental Cooperation (CEC), represents the month of June within a dataset of 12 raster files (one for each month) representing total precipitation values across North America for the 1981–2010 climatological reference period, in millimeters. The dataset is derived from a kilometer-scale climate product generated using the CHELSA downscaling model and represents long-term climatological means. The North American monthly precipitation layers were derived from the CHELSA Climatologies v2.1 dataset, which is based on statistically downscaled temperature and precipitation data at a spatial resolution of 30 arc-seconds (~1 km). CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) applies a statistical downscaling approach to atmospheric precipitation fields to produce high-resolution climate surfaces. Additional technical details on the downscaling methodology and derived climate predictors are provided in: Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122 Geographic Coverage The coverage spans North America, including Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC). Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Karger et al. (2017). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation and the (CHELSA) initiative at the Swiss Federal Research Institute WSL (Land Change Science group) would be appreciated in products derived from these data. Vintage: 1981-2010 Applications (Intended Use) Analyzing spatial and seasonal patterns of monthly precipitation across North America. Supporting climate, hydrological, and water-resource research and planning. Informing agricultural and ecological modeling and land-use planning. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download
Overview This layer, prepared by the Commission for Environmental Cooperation (CEC), represents the month of October within a dataset of 12 raster files (one for each month) representing total precipitation values across North America for the 1981–2010 climatological reference period, in millimeters. The dataset is derived from a kilometer-scale climate product generated using the CHELSA downscaling model and represents long-term climatological means. The North American monthly precipitation layers were derived from the CHELSA Climatologies v2.1 dataset, which is based on statistically downscaled temperature and precipitation data at a spatial resolution of 30 arc-seconds (~1 km). CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) applies a statistical downscaling approach to atmospheric precipitation fields to produce high-resolution climate surfaces. Additional technical details on the downscaling methodology and derived climate predictors are provided in: Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122 Geographic Coverage The coverage spans North America, including Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC). Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Karger et al. (2017). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation and the (CHELSA) initiative at the Swiss Federal Research Institute WSL (Land Change Science group) would be appreciated in products derived from these data. Vintage: 1981-2010 Applications (Intended Use) Analyzing spatial and seasonal patterns of monthly precipitation across North America. Supporting climate, hydrological, and water-resource research and planning. Informing agricultural and ecological modeling and land-use planning. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download
Overview This layer, prepared by the Commission for Environmental Cooperation (CEC), represents the minimum temperature of the coldest month across North America for the 1981–2010 climatological reference period, in degrees Celsius. The dataset shows the lowest monthly mean of daily minimum temperatures across the year, highlighting winter cold intensity, and is derived from a kilometer-scale climate product generated using the CHELSA downscaling model, representing long-term climatological means. The North American minimum temperature layer was derived from the CHELSA v2.1 bioclimatic variables (BIO6) dataset, which is based on statistically downscaled temperature data at a spatial resolution of 30 arc-seconds (~1 km). CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) applies a mechanistic, terrain-informed downscaling framework that accounts for orographic effects, atmospheric lapse rates, and wind-driven processes to produce high-resolution climate surfaces. Additional technical details on the downscaling methodology and derived climate predictors are provided in: Brun, P., Zimmermann, N. E., Hari, C., Pellissier, L., & Karger, D. N. (2022). Global climate-related predictors at kilometer resolution for the past and future. Earth System Science Data, 14(12), 5573–5603. https://doi.org/10.5194/essd-14-5573-2022 Geographic Coverage The coverage spans North America, including Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC). Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Brun et al. (2022). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation and the (CHELSA) initiative at the Swiss Federal Research Institute WSL (Land Change Science group) would be appreciated in products derived from these data. Vintage: 1981-2010 Applications (Intended Use) Analyzing spatial patterns of minimum monthly temperature across North America. Supporting cold stress, frost risk, and climate risk assessment. Informing agricultural, ecological, and species distribution modeling. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download
Overview This layer, prepared by the Commission for Environmental Cooperation (CEC), represents mean monthly temperature values for the month of January across North America for the 1981–2010 climatological reference period, in degrees Celsius. The layer is part of a 12-raster-file (one per month) dataset derived from a kilometer-scale climate product generated using the CHELSA downscaling model, and represents long-term climatological means. The North American monthly temperature layers were derived from the CHELSA Climatologies v2.1 dataset, which is based on statistically downscaled temperature and precipitation data at a spatial resolution of 30 arc-seconds (~1 km). CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) applies a statistical downscaling approach to atmospheric temperature fields to produce high-resolution climate surfaces. Additional technical details on the downscaling methodology and derived climate predictors are provided in: Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122 Geographic Coverage The coverage spans North America, including Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC). Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Karger et al. (2017). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation and the (CHELSA) initiative at the Swiss Federal Research Institute WSL (Land Change Science group) would be appreciated in products derived from these data. Vintage: 1981-2010 Applications (Intended Use) Analyzing spatial and seasonal patterns of monthly temperature across North America. Supporting climate, hydrological, and water-resource research and planning. Informing agricultural and ecological modeling and land-use planning. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download