2025 Fall Imagery
2025 fall imagery for the City of Kingston, ON
This cached leaf-on imagery service is made from a mosaic of colour digital air photos of the municipality of Kingston, Ontario captured by Nearmap on September 15, 2025. Original images and web service provided in Web Mercator projection. Original images captured at 7.5cm resolution. Cached down to 1:1128 scale with the ability to zoom in further.
Datasets available for download
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Ortho2025FallMosaic Layer
Layer 0 via ArcGIS REST API
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Ortho2025Fall (Explore)HTML
Explore Ortho2025Fall on ArcGIS Hub
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BoundaryFeature Layer
Layer 1 via ArcGIS REST API
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Boundary (Explore)HTML
Explore Boundary on ArcGIS Hub
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FootprintFeature Layer
Layer 2 via ArcGIS REST API
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Footprint (Explore)HTML
Explore Footprint on ArcGIS Hub
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ImageRaster Layer
Layer 3 via ArcGIS REST API
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Image (Explore)HTML
Explore Image on ArcGIS Hub
Additional Info
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| Last Updated | July 17, 2026, 07:33 (UTC) |
| Created | June 17, 2026, 08:58 (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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2025 Fall Imagery |
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Description
A description of the dataset.
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2025 fall imagery for the City of Kingston, ON This cached leaf-on imagery service is made from a mosaic of colour digital air photos of the municipality of Kingston, Ontario captured by Nearmap on September 15, 2025. Original images and web service provided in Web Mercator projection. Original images captured at 7.5cm resolution. Cached down to 1:1128 scale with the ability to zoom in further. |
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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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9737493.26 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2026-04-15 |
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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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Identifier
Unique identifier for the dataset.
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1a00cc2e598f477595b4ae5920f6f814 |
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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://opendatakingston.cityofkingston.ca/datasets/cityofkingston::2025-fall-imagery |
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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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The City of Kingston |
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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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| Field | Value |
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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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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