Economic Development Zones in Ontario County, New York.

Single photon lidar light detection and ranging (SPL LiDAR) is an active remote sensing technology for: * mapping vegetation aspects including cover, density and height * representing the earth's terrain and elevation contours We acquired SPL data on an airborne acquisition platform under leaf-on conditions to support Forest Resources Inventory (FRI) development. FRI provides: * information to support resource management planning and land use decisions within Ontario’s Managed Zone * information on tree species, density, heights, ages and distribution The SPL data point density ranges from a min of 25pts/m. Each point represents heights of objects such as: * ground level terrain points * heights of vegetation * buildings The lidar was classified according to the Ontario lidar classifications. Low, medium and tall vegetation are classed as 3, 4, 5 and 12 classes. The FRI SPL products include the following digital elevation models: * digital terrain model * canopy height model * digital surface model * intensity model (signal width to return ratio) * forest inventory raster metrics * forest inventory attributes * predicted streams * hydro break lines * block control points Lidar fMVA data supports developing detailed 3D analysis of: * forest inventory * terrain * hydrology * infrastructure * transportation * other mapping applications We made significant investments in Single Photon LiDAR data, now available on the Open Data Catalogue. Derivatives are available for streaming or through download. The map reflects areas with LiDAR data available for download. Zoom in to see data tiles and download options. Select individual tiles to download the data. You can download: * classified point cloud data can also be downloaded via .laz format * derivatives in a compressed .tiff format * Forest Resource Inventory leaf-on LiDAR Tile Index. Download | Shapefile | File Geodatabase | GeoPackage Web raster services You can access the data through our web raster services. For more information and tutorials, read the Ontario Web Raster Services User Guide. If you have questions about how to use the Web raster services, email Geospatial Ontario (GEO) at geospatial@ontario.ca. Note: Internal users replace "https://ws.” with “https://intra.ws." * CHM https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_CHM_SPL/ImageServer * DSM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_DSM_SPL/ImageServer * DTM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_DTM_SPL/ImageServer * T1 Imagery - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/FRI_Imagery_T1/ImageServer * T2 Imagery - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/FRI_Imagery_T2/ImageServer * Landcover - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Thematic/Ontario_Land_Cover_Compilation_v2/ImageServer

These data provide an accurate high-resolution shoreline compiled from imagery of LAKE ONTARIO, SOUTHWICK BEACH TO WOLFE ISLAND, NY-ONT . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

The spatial extent of service territory boundaries for Ontario's local distribution companies (LDCs). ENERGY's data consumers require visualization of the service territory boundaries of local distribution companies (LDCs) to support policy development.

Using the Imagery Orders Web App, users can select the stereo frames from the live index, as required. For more information and to order imagery products please refer to the How to Order Imagery Guide and the Imagery Order Form.Time of Capture: May 15th, 2022 - November 2nd, 2022 Number of Frames: 41,232 frames Resolution: 16 centimetre Bit-depth: 16-bit Number of bands: Four band (RGBN) Format: TIFF (ISAT AT model setup) Camera(s): Vexcel UltraCam X and Vexcel UltraCam Eagle frame-based For more information on the North Western Ontario Orthophotography Project (NWOOP) 2022 please see the main NWOOP 2022 GeoHub record. Available Products: Stereo Frames North Western Ontario Orthophotography Project (NWOOP) 2022 - Stereo Frames and associated AT Models Contact: Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry - Provincial Mapping, imagery@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...

This dataset shows the boundaries of fire response plan areas and provides the recommended response type that corresponds to the official fire response plan for each area. Fire response types include:

full response modified response monitored response prescribed fire

The Forest Fire Info Map shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

Additional Documentation

Fire Response Plan Area - Data Description (PDF)

Fire Response Plan Area - Documentation (Word)

Status

Under development: data is currently in the process of being created Maintenance and Update Frequency

As needed: data is updated as deemed necessary

Contact
Darryl Pajunen, darryl.pajunen@ontario.ca

The Ontario Watershed Boundaries (OWB) collection represents the authoritative watershed boundaries for Ontario. The data is based on a framework similar to the Atlas of Canada Fundamental Drainage Areas and the United States Watershed Boundary Dataset, however it adopts a more stringent scientific approach to watershed delineation. The Ontario Watershed Boundaries (OWB) collection includes five data classes:OWB Main (OWB) (Download: Shapefile | File Geodatabase | Open Data Service | QGIS Layer )all watershed levels from primary to quaternary, and level 5 and 6 watersheds for select areas of the province;OWB Primary (OWBPRIM) (Download: SHP | FGDB | ODS | QLR-Diverted Flow | QLR-Natural Flow)all primary watersheds or major drainage areas (WSCMDA) in the Canadian classification;OWB Secondary (OWBSEC) (Download: SHP | FGDB | ODS | QLR*)all secondary watersheds or sub drainage areas (WSCSDA);OWB Tertiary (OWBTERT) (Download: SHP | FGDB | ODS | QLR*)all tertiary watersheds or sub-sub drainage areas (WSCSSDA);OWB Quaternary (OWBQUAT) (Download: SHP | FGDB | ODS | QLR)all quaternary watersheds or 6-digit drainage areas (WSC6).*Display issues in QGIS are currently being investigated for these services. See the RSS feed below for details.IMPORTANT NOTE: The OWB data replaces the following data classes:Provincial Watersheds, HistoricalAdditional DocumentationUser Guide for Ontario Watershed Boundaries (Word)Watershed Delineation Principles and Guidelines for Ontario (Word) Atlas of Canada 1,000,000 National Frameworks Data, Hydrology - Fundamental Drainage Areas United States Geological Survey Watershed Boundary Dataset (Website)

Status Completed: Production of the data has been completed

Maintenance and Update Frequency Irregular: data is updated in intervals that are uneven in duration - usually after the completion of major updates to source data (e.g. OIH), but could also include spot updates and expansion of the dataset over time based on user needs. RSS FeedFollow our feed to get the latest announcements and developments concerning our watersheds. Visit our feed at the bottom of our ArcGIS Online OWB page.

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

A Significant Ecological Area is a polygon feature that identifies an area of interest to the Ministry that is ecologically significant, and warrants special consideration, excluding ANSI's, parks, reserves or ESA's.

Different Significant Ecological Area types include:

Significant Valley Significant Woodland No-Cut Area Designated Old Growth Forest Old Growth Forest Significant Ecological Community.

Significant Woodlands

The significant woodland mapping in this data set is not a definitive source of significant woodland mapping as the identification of significant woodlands rests with the planning authority.

This mapping was created in 2011 through a desktop exercise that used the best available data at the time and was never field verified. This mapping represents a snapshot in time and does not account for recent changes in forest cover. This mapping only exists in eastern Ontario.

Planning authorities are encouraged to undertake a municipal-wide comprehensive study to identify significant woodlands within their administrative area.

Additional Documentation

  Significant Ecological Area - Data Description (PDF)

Significant Ecological Area - Documentation (Word)

Status

On going: data is being continually updated

Maintenance and Update Frequency

As needed: data is updated as deemed necessary

Contact

Emily Hill, Ministry of Natural Resources and Forestry, emily.hill@ontario.ca

The data referenced here is licensed Electronic Intellectual Property of the Ontario Ministry of Natural Resources and Forestry and is provided for professional, non-commercial use only.

The built boundary identifies built-up urban areas across the Greater Golden Horseshoe. It is a fixed line that reflects what was built and on the ground when the Growth Plan came into effect in June 2006. The boundaries are an important implementation and monitoring tool for the Growth Plan for the Greater Golden Horseshoe. The built boundary will allow the province and others to measure intensification and redevelopment within the built-up area, and also allow us to monitor suburban development outside the built-up area. The built boundary was released in its final form on April 2, 2008, along with the methodology used to create it.This product requires the use of GIS software.

Status

Completed: production of the data has been completed

Maintenance and Update Frequency

Not Stated

Contact

Geoffrey Singer, Geoffrey.Singer@ontario.ca

To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.

Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment D - Lake Ontario at Ninemile Point near Webster, NY (station number 0423205342). These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In this study, wind and seiche effects were not represented; therefore, the flood inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake. This item is a package of flood inundation data for segment D - Lake Ontario at Ninemile Point near Webster, NY (station number 0423205342) including: 1) 1 shapefile showing 5 estimated flood extents as polygons, 2) 5 raster datasets showing the depth of the water at 5 flood stages, 3) 1 shapefile showing the study limit extent of segment D, and 4) a metadata file. The polygon flood extent shapefiles were developed from digital elevation models (DEMs) derived from the lidar to represent the estimated areal extent for five flood stages for segment D. The raster files depict the depth, in feet, of the water in the inundated areas along the shoreline of Lake Ontario during the five theoretical flood stages. The depth grids were created by subtracting the digital elevation model (DEM) values (in feet) from each of five raster files representing the flood extent at each constant water level (in feet). An approximately 100-meter buffer was used as the extent into the lake. First posted June 21, 2021, ver 1.0 Revised November 2021, ver 2.0 Version 2.0: This version of the dataset has the same data as version 1.0, but some shapefile attributes were renamed to be more accurate and clearer, and the depth-grid rasters were renamed to include the associated water surface elevation within the raster file name. Detailed version history is included in Version_History_LakeOntarioFIMDataRelease.txt. Version 1.0: This version is a package of flood inundation data for Lake Ontario including: 1) 8 shapefiles showing 40 estimated flood extents as polygons, 2) 40 raster datasets showing the depth of the water at 5 flood stages, divided into 8 shoreline segments, 3) 8 shapefiles showing the study limit extent of each segment, and 4) a metadata file.

The Ontario Land Inventory (OLI) database provides a digital representation of a series of historical maps created between 1963 and 1977 describing and evaluating Ontario's land resources for its capability for Timber Use, Wildlife Use, Recreation Use and for Shoreland Recreation. Land Classification as used by the Ontario Land Inventory (OLI) is a system of describing the physical features of the land which exert the most significant influence upon the growth of the plant community. The Timber Use Capability ratings of the OLI indicate the potential ability of land to grow tree crops. These ratings are specifically related to the physical features which control the rate of tree growth. Wildlife Use Capability indicates the natural ability of the land to provide the required habitat for a given species. The selection of wildlife species for which an area is rated, is based on the natural range of each species. Recreation Use Capability classifies the land for its inherent ability to attract and sustain recreation use. The physical features of the land determine the intensity of use that can be attracted and sustained. A recreation feature that can attract and sustain use by many people rates higher than a feature that can only attract and sustain a few. The Shoreland Recreation information describes the physical features of the wet beach and backshore of a lake and rates the sites for their capability for bathing and camping activities and lodging and deep water activities. Originally produced as published maps only the Land Classification, Wildlife and Timber information are currently avaliable in a digital format. Support hardcopy published maps, worksheets and source documentation can be assessed through the Archives of Ontario. (excluding Land Classification Series).

Status

On going: Data is continually being updated

Maintenance and Update Frequency

Unknown: Frequency of maintenance for the data is not known

Contact

Ian Smyth, Science and Research Branch, ian.smyth@ontario.ca

Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials, and transportation, it has played an important role in the city’s settlement and development. The river valley has changed dramatically in the years since European settlement, particularly during the late nineteenth and early twentieth century, when the Lower Don River was straightened and channelized and the huge marsh at its mouth drained and filled. Today, the Lower Valley forms the foundation for one of the most densely populated areas in Canada, outlining as it does the eastern portion of Toronto’s downtown core and radiating residential areas. This project documents historical changes in the landscape of the Don River Valley. Drawing from the wide range of geographical information available for the Don River watershed (and the Lower Don in particular), including historical maps, geological maps, fire insurance plans, planning documents, and city directories, the project uses Geographic Information Systems software to place, compile, synthesize and interpret this information and make it more accessible as geospatial data and maps. The project is a work in progress. To date, we have scanned several dozen historical maps of Toronto and the Don River watershed, and compiled the following geospatial datasets: 1) changes to the river channel and shoreline of Toronto harbour, 1858-1918; 2) industrial development in the Lower Don River Watershed, 1857-1951 (as points, and in some cases polygons); 3) historical mill sites in the Don River Watershed, 1825; 18524) land ownership in the watershed, 1860 and 1878; and 4) points of interest in the watershed. In the future, we hope to expand the project to include data from other Toronto area watersheds and other parts of the city. The project was conducted through a collaboration between Jennifer Bonnell, a doctoral student in the History of Education program at the University of Toronto's Ontario Institute for Studies in Education (OISE/UT) - now at York University in the History Department and Marcel Fortin, the Geographic Information Systems (GIS) and Map Librarian at the University of Toronto's Map and Data Library. Financial and in-kind support was provided by the Network in Canadian History and Environment (NiCHE) and the University of Toronto Libraries. Valuable research support for the Points of Interest pages came from Lost Rivers, a community-based urban ecology organization focused on building public awareness of the City's river systems. Jordan Hale, a University of Toronto Geography student conducted much of the digitization and database work.This project could not have been completed without their skilled assistance and dedication.

A Ministry of Natural Resources (MNR) Road Barrier is when access to a road segment or network is restricted or controlled.Road authorities in Ontario have the mandated responsibility to construct roads or have them constructed on their behalf. They include:Ministry of Natural Resources (resource access roads and park roads)MunicipalitiesMinistry of TransportationMinistry of Northern Development and MinesFederal government (roads on federal lands, e.g. national parks, Dept. of Defense)First NationsOther, e.g., local roads boardsAdditional DocumentationMNR Road Barrier - Data Description (PDF)MNR Road Barrier - Documentation (Word)Status On going: data is being continually updated Maintenance and Update FrequencyIrregular: data is updated in intervals that are uneven in duration ContactShawn Mason, Regional GIS Support Officer, shawn.mason@ontario.ca

The effect of acid inputs on the environment depends on the quantity and acidity of atmospheric inputs, and the buffering capacity of the terrestrial and aquatic ecosystems. The effect of acidic precipitation on soil is potentially significant because the soil is the reservoir of plant nutrients and the source of much of the water for aquatic systems. Changes in the soil's chemistry may therefore be reflected in both the terrestrial and aquatic environments. Information on the effects of acidic precipitation on soils is available from effects near point sources of pollution, from experimentation with simulated rain solutions, from natural changes observed in soil over time, and from models and soil forming theories. Anticipated effects of soil acidification include: reduced pH, leaching of basic cations (such as magnesium and calcium) and other exchangeable plant nutrients, reduction in base saturation and cation-exchange capacity, mobilization of soil-bound metals such as aluminum, and changes in biological activity such as decreased nitrification and soil respiration.The principal objective of the baseline program is to establish a uniform data base for soils across the province. This data base 1) provides current data to identify future trends, 2) enables the development of laboratory experiments which define soil sensitivity criteria to acidic precipitation, and 3) provides information required for sensitivity mapping of soils throughout Ontario.L'effet des apports acides sur l'environnement dépend de la quantité et de l'acidité des apports atmosphériques et de la capacité tampon des écosystèmes terrestres et aquatiques. L'effet des précipitations acides sur le sol est potentiellement important car le sol est le réservoir de nutriments des plantes et la source d'une grande partie de l'eau pour les systèmes aquatiques. Les changements dans la chimie du sol peuvent donc se refléter à la fois dans les environnements terrestres et aquatiques. Des informations sur les effets des précipitations acides sur les sols sont disponibles à partir des effets à proximité de sources ponctuelles de pollution, de l'expérimentation de solutions de pluie simulées, des changements naturels observés dans le sol au fil du temps, et de modèles et de théories de formation du sol. Les effets anticipés de l'acidification du sol comprennent: pH réduit, lessivage des cations basiques (tels que le magnésium et le calcium) et d'autres nutriments végétaux échangeables, réduction de la saturation en bases et de la capacité d'échange de cations, mobilisation de métaux liés au sol tels que l'aluminium et changements dans activité biologique telle que diminution de la nitrification et respiration du sol.Le principal objectif du programme de référence est d'établir une base de données uniforme pour les sols de la province. Cette base de données 1) fournit des données actuelles pour identifier les tendances futures, 2) permet le développement d'expériences de laboratoire qui définissent les critères de sensibilité du sol aux précipitations acides, et 3) fournit les informations nécessaires à la cartographie de la sensibilité des sols à travers l'Ontario.Additional DocumentationDataDescription_APIOS (docx) - Data description document for the APIOS dataset | Document avec description des données pour le projet APIOS (170KB)APIOS_Sites (csv) - Site information collected at the APIOS sampling locations | Informations au niveau du site pour les sites d'échantillonnages du projet APIOS (69 KB)APIOS_HorizonsAll (csv) - Raw analytical data for APIOS sample sites | Données analytiques brutes pour les sites d'échantillonnages du projet APIOS (319 KB)APIOS_HorizonAverages (csv) - Analytical data averaged by soil horizon for APIOS sample sites, since horizons were often sampled in duplicate | Moyenne des données analytiques pour les sites d'échantillonnages du projet APIOS puisque les horizons ont souvent été échantillonnées en double (185 KB)APIOS Methods Manual - Report describing the sampling and analytical methods for the project | Rapport qui décrit les méthodes d'échantillonages et les analyses de laboratoires pour le projet. (1.0 MB)APIOS002_85_OntarioSoilBaselineSurvey_Vol1 - Report (1985) providing a description of the APIOS program, including objectives, overview of sampling methods, and introduction to soil formation and distribution across Ontario | Rapport (1985) qui décrit le programme APIOS, y inclus les méthodes d'échantillonnages, une introduction au développement et à la distribution des sols en Ontario. (1.0 MB).APIOS002_85_OntarioSoilBaselineSurvey_Vol2 - Report (1985) providing analytical data collected for southern Ontario | Rapport (1985) qui présente les données analytiques provenant du sud Ontarien. (46 MB).APIOS002_85_OntarioSoilBaselineSurvey_Vol3 - Report (1985) providing analytical data collected for northern Ontario | Rapport (1985) qui présente les données analytiques provenant du nord Ontarien. (1.3 MB).APIOS008_83_OntarioSoilBaselineSurvey_Vol1 - Report (1983) providing a description of the APIOS program, including objectives, overview of sampling methods, and introduction to soil formation and distribution across Ontario | Rapport (1983) qui décrit le programme APIOS, y inclus les méthodes d'échantillonnages, une introduction au développement et à la distribution des sols en Ontario. (500 KB).APIOS008_83_OntarioSoilBaselineSurvey_Vol2 - Report (1983) providing analytical data collected for southern Ontario | Rapport (1983) qui présente les données analytiques provenant du sud Ontarien. (51 MB).APIOS008_83_OntarioSoilBaselineSurvey_Vol3 - Report (1983) providing analytical data collected for northern Ontario | Rapport (1985) qui présente les données analytiques provenant du nord Ontarien. (23 MB).StatusCompleteMaintenance and Update FrequencyCompleteContactDaniel Saurette, omafra.gis@ontario.ca

This highly specialized publication (Ontario Tree Seed Transfer Policy data) is available in English only in accordance with Regulation 671/92, which exempts it from translation under the French Language Services Act. To obtain information in French, please contact the Ministry of Natural Resources and Forestry at (1-800-667-1940). The Ontario Tree Seed Transfer Policy ensures that seed used to regenerate forests has a good chance of producing trees that are adapted to their growing environment. It specifies where seed can be collected and used and the conditions under which seed may be transferred. The data is provided as part of Appendix 1 of the Ontario Tree Seed Transfer Policy. It is available in both table and map formats , and also includes CSV and shape files. Tabular display This dataset includes three tables that show the spatial direction of the seed transfer policy based on the climate similarity analysis (refer to Appendix 1 of the policy for information on the climate similarity analysis): * Table 1. For transitional period: Acceptable seed transfer from the 2010 Seed Zones of Ontario to current seed zones * Table 2. Acceptable seed transfer from the 2010 Seed Zones of Ontario to ecodistricts * Table 3. Acceptable seed transfer among ecodistricts Within the tables, you can click and sort by your location of interest to understand the best seed sources to collect from or deploy to. You can sort by either seed zone or ecodistrict. The policy recommends a climate similarity of 0.9 or greater to the targeted collection or deployment site. Visual display The climate similarity analysis used in developing this policy is also available as an interactive map. Maps are available to help you make seed collection and deployment decisions, including: * collecting seed by ecodistrict or county * deploying seed by ecodistrict * deploying seed by seed zone You can also view: * a detailed map of management unit by seed zone or by ecodistrict * maps to help you make seed transfer decisions related to growing season, precipitation and temperature

These data provide an accurate high-resolution shoreline compiled from imagery of WELLAND CANAL, LAKE ERIE TO LAKE ONTARIO, ONT-NY . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

The Infant Hearing Program serves the needs of children who are deaf or hard of hearing and their families. The Infant Hearing Program: * Offers universal hearing screening for all newborns to identify infants who are born deaf or hard of hearing, or who are at risk for developing hearing loss in early childhood * Provides services for infants and young children who are deaf or hard of hearing, and their families to support language development These shapefiles provide geospatial data used for mapping the 12 Infant Hearing Program service regions in Ontario.

This spatial dataset comprises polygons that represent property parcels within the City of Niagara Falls. Although this layer closely follows Tax Roll parcels, there may be some instances where the ownership parcel's geometry to the PIN is used. The parcel layer is regularly updated using various sources, including Certificate of Consent documents from the CNF Committee of Adjustment, Registered Plans (of Subdivision or Condominium), Agreements of a Registered development (Subdivision or Condominium), Registered Deeds, Registered Reference Plans, and MPAC SCIF reports. To verify legal descriptions and ownership, PIN Details and maps from the Land Registry Office are also referenced, as needed. The original version of this product, a hybrid property dataset provided by the Region, was created using Ontario Base Mapping hard copy base (likely North American Datum of 1927 (NAD27) UTM 17) and would have been checked for quality using Ortho imagery available at the time. This information has been compiled from numerous sources and standards over the years, so spatial inaccuracies are to be expected. It's important to note that this layer is strictly intended for mapping and reference purposes, and should not be used to define the boundaries of individual parcels of land for legal purposes. Attribute details contain the primary address for the parcel and are not reflective of all valid addresses in the City of Niagara Falls for individual parcels.