Land Cover 2019 Kitchener (TIF)

A gridded land cover map derived from aerial imagery and lidar terrain data. Land Cover 2019 (20190819 - 15 cm) Point Density NA, Horizontal Accuracy: NA, Vertical AccurcacyNAm, (Airborne Imaging for City of Kitchener) NAD83 UTM Zone 17N (EPSG: 26917) Metadata Link

Land Cover 2019

Abstract: A gridded land cover map derived from aerial imagery and lidar terrain data.

General Information

Source Year 2019 Category Elevation Model Feature Type Grid LC Methodology High resolution land cover dataset for Kitchener,ON. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2019 LiDAR data and 2019 3 band orthomosaic imagery. Ancillary data sources included GIS data provided by Kitchener,ON or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2500 Meters and all observable errors were corrected. Geographic Extent City of Kitchener Spatial Projection NAD83 UTM Zone 17N (EPSG: 26917)

Georeferencing and Accuracy

Acquistion Period 20190819 Horizontal Datum North American Datum 1983 (EPSG: 6269) Vertical Datum Canadian Geodet Horizontal Accuracy NA Vertical Accuracy NA Grid Resolution 1 m Spectral Bands Point Density NA File Format LAS, IMG

Source and Contraints

Use Constraint Open Data Agency Originator University of Vermont Agency Distributor City of Kitchener Process Description Aerial Surveying Lidar Data Flying Height Above Ground (m) 1100 Spatial Area (km2) 139 Spatial Resolution (cm) Producer Airborne Imaging System Leica ALS7 Owner City of Kitchener

Contact and Links

Open Data https://app2.kitchener.ca/appdocs/opendata/ORTHO/Land_Cover_2019_Kitchener.tif Contact Manager Geospatial Data and Analytics, City of Kitchener

Citation

Citation Land Cover 2019 (20190819 - 15 cm) Point Density NA, Horizontal Accuracy: NA, Vertical AccurcacyNAm, (Airborne Imaging for City of Kitchener) NAD83 UTM Zone 17N (EPSG: 26917)
© 2023 City of Kitchener | 200 King Street West, Kitchener, Ontario | Telephone: 519-741-2345, TTY: 1-866-969-9994

Datasets available for download

Additional Info

Field Value
Last Updated September 2, 2026, 07:18 (UTC)
Created March 25, 2026, 01:53 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Land Cover 2019 Kitchener (TIF)
Description
A description of the dataset.

A gridded land cover map derived from aerial imagery and lidar terrain data. Land Cover 2019 (20190819 - 15 cm) Point Density NA, Horizontal Accuracy: NA, Vertical AccurcacyNAm, (Airborne Imaging for City of Kitchener) NAD83 UTM Zone 17N (EPSG: 26917) Metadata Link

Land Cover 2019

Abstract: A gridded land cover map derived from aerial imagery and lidar terrain data.

General Information

Source Year 2019 Category Elevation Model Feature Type Grid LC Methodology High resolution land cover dataset for Kitchener,ON. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2019 LiDAR data and 2019 3 band orthomosaic imagery. Ancillary data sources included GIS data provided by Kitchener,ON or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2500 Meters and all observable errors were corrected. Geographic Extent City of Kitchener Spatial Projection NAD83 UTM Zone 17N (EPSG: 26917)

Georeferencing and Accuracy

Acquistion Period 20190819 Horizontal Datum North American Datum 1983 (EPSG: 6269) Vertical Datum Canadian Geodet Horizontal Accuracy NA Vertical Accuracy NA Grid Resolution 1 m Spectral Bands Point Density NA File Format LAS, IMG

Source and Contraints

Use Constraint Open Data Agency Originator University of Vermont Agency Distributor City of Kitchener Process Description Aerial Surveying Lidar Data Flying Height Above Ground (m) 1100 Spatial Area (km2) 139 Spatial Resolution (cm) Producer Airborne Imaging System Leica ALS7 Owner City of Kitchener

Contact and Links

Open Data https://app2.kitchener.ca/appdocs/opendata/ORTHO/Land_Cover_2019_Kitchener.tif Contact Manager Geospatial Data and Analytics, City of Kitchener

Citation

Citation Land Cover 2019 (20190819 - 15 cm) Point Density NA, Horizontal Accuracy: NA, Vertical AccurcacyNAm, (Airborne Imaging for City of Kitchener) NAD83 UTM Zone 17N (EPSG: 26917)
© 2023 City of Kitchener | 200 King Street West, Kitchener, Ontario | Telephone: 519-741-2345, TTY: 1-866-969-9994
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
0.08
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2023-07-31
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
public
License
License used to access the dataset.
Open Government Licence – Ontario
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open-KitchenerGIS.opendata.arcgis.com/datasets/KitchenerGIS::land-cover-2019-kitchener-tif
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
KitchenerGIS
Contact Point
Who to contact regarding access?
City of Kitchener
Contact Point Email
The email to contact regarding access?
[email protected]
Publisher
Publisher of the dataset.
City of Kitchener
Publisher Email
Email of the publisher.
Author
Author of the dataset.
KitchenerGIS
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2025-09-05
Field Value
Identifier
Unique identifier for the dataset.
d408f24a5ae848f2bdaea569044f42a0
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://open-KitchenerGIS.opendata.arcgis.com/datasets/KitchenerGIS::land-cover-2019-kitchener-tif
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
City of Kitchener
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
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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