Ottawa and Peterborough Digital Soil Maps
These digital soil maps predict soil property variation at a 10 x 10 metre resolution throughout the area of interest. Soil predictions are based on statistical models that link soil and environmental data and use this relationship to infer how soil varies throughout a landscape. Companion “90% prediction interval” maps can be used to quantify uncertainty in soil map predictions. Left-click on the Ottawa/Peterborough county shape (on map viewer) or scroll to the data download links below (on about page) to download the soil map GeoTIFF files.
Description
Digital soil mapping (DSM) is a modern approach to soil mapping that combines geo-referenced soil observations with geo-referenced environmental layers to mathematical model soil variation across a landscape as a function of environmental conditions. These Ottawa and Peterborough digital soil maps describe soil property variation in the Ottawa/Peterborough regions via a collection of raster datasets. For information on how these maps were generated, please see the “DSM Data Description” document below
The Ottawa and Peterborough DSM layers are available as downloadable GeoTIFF files by following the links in the DSM Raster Directory or by clicking the links to the individual raster packages below. GeoTIFF files require spatial software to view correctly, such as ArcGIS or QGIS.
These layers can also be visualized online and analyzed via the Ottawa ArcGIS REST Services or Peterborough ArcGIS REST Services (and then click on your respective soil property for the direct rest service link) or by visiting the Ottawa Experience Viewer or the Peterborough Experience Viewer.
For more information on the functionality of ArcGIS REST services, read the Services User Guide. If you have questions about the data itself, please contact [email protected]
Documentation
Ottawa Data Download
Soil Maps
Uncertainty (90% Prediction Interval) Maps
Peterborough Data Download
Soil Maps
Uncertainty (90% Prediction Interval) Maps
Datasets available for download
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Ottawa_and_Peterborough_CountiesFeature Layer
Layer 0 via ArcGIS REST API
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Ottawa_and_Peterborough_Counties (Explore)HTML
Explore Ottawa_and_Peterborough_Counties on ArcGIS Hub
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FeatureServerURL
Additional resource from ArcGIS Hub
Additional Info
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| Last Updated | September 16, 2026, 06:37 (UTC) |
| Created | June 16, 2026, 17:42 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Ottawa and Peterborough Digital Soil Maps |
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Description
A description of the dataset.
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These digital soil maps predict soil property variation at a 10 x 10 metre resolution throughout the area of interest. Soil predictions are based on statistical models that link soil and environmental data and use this relationship to infer how soil varies throughout a landscape. Companion “90% prediction interval” maps can be used to quantify uncertainty in soil map predictions. Left-click on the Ottawa/Peterborough county shape (on map viewer) or scroll to the data download links below (on about page) to download the soil map GeoTIFF files.
Description Digital soil mapping (DSM) is a modern approach to soil mapping that combines geo-referenced soil observations with geo-referenced environmental layers to mathematical model soil variation across a landscape as a function of environmental conditions. These Ottawa and Peterborough digital soil maps describe soil property variation in the Ottawa/Peterborough regions via a collection of raster datasets. For information on how these maps were generated, please see the “DSM Data Description” document below
The Ottawa and Peterborough DSM layers are available as downloadable GeoTIFF files by following the links in the DSM Raster Directory or by clicking the links to the individual raster packages below. GeoTIFF files require spatial software to view correctly, such as ArcGIS or QGIS.
These layers can also be visualized online and analyzed via the Ottawa ArcGIS REST Services or Peterborough ArcGIS REST Services (and then click on your respective soil property for the direct rest service link) or by visiting the Ottawa Experience Viewer or the Peterborough Experience Viewer.
For more information on the functionality of ArcGIS REST services, read the Services User Guide. If you have questions about the data itself, please contact [email protected]
Documentation
Ottawa Data Download Soil Maps Uncertainty (90% Prediction Interval) Maps
Peterborough Data Download Soil Maps Uncertainty (90% Prediction Interval) Maps |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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432.0 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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OTT_PTBO_DSM |
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Published Date
Published date of the dataset.
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2026-01-27 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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public |
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License
License used to access the dataset.
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Open Government Licence – Ontario |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://ontario-soils-geohub-ontarioca11.hub.arcgis.com/datasets/ontarioca11::ottawa-and-peterborough-digital-soil-maps |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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OMAFRAGIS |
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Contact Point
Who to contact regarding access?
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OMAFRA |
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Contact Point Email
The email to contact regarding access?
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[email protected] |
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Publisher
Publisher of the dataset.
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OMAFRA |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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OMAFRAGIS |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2026-04-23 |
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Identifier
Unique identifier for the dataset.
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ac914a2558604b2bb11db78523ba3538 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://ontario-soils-geohub-ontarioca11.hub.arcgis.com/datasets/ontarioca11::ottawa-and-peterborough-digital-soil-maps |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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OMAFA |
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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2 |
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Number of data columns
If tabular dataset, total number of unique columns.
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4 |
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Number of data cells
If tabular dataset, total number of cells with data.
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8 |
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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