3D Building Sets 2020

3D Building Sets 2020, Burlington Ontario

The 2020 3D building data set is a compilation of models without photo textures within the Burlington downtown growth area and surrounding residential area, current as of July 2020 and created from:

1. photogrammetrically collected polygons procedurally modelled using ESRI's CityEngine2. Pictometry 3D models accurately produced from geo-referenced oblique imagery3. ESRI CityEngine procedurally produced 3D models4. Developer submitted 3D models. 


It is available in AutoCAD 2013, 2018 and ESRI file geodatabase multipatch feature class formats. The data is available for download from the City at:  https://opendata.burlington.ca/3D/2020/


Please note both 2015 and 2020 data sets are quite large requiring a very robust computer to allow working with an entire file.  It is recommended that users subset a required area of interest to make working with the data more manageable.
 Please download the files from our site, or Contact Us to request this data.

Datasets available for download

Additional Info

Field Value
Last Updated March 25, 2026, 02:15 (UTC)
Created March 25, 2026, 02:15 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
3D Building Sets 2020
Description
A description of the dataset.

3D Building Sets 2020, Burlington Ontario

The 2020 3D building data set is a compilation of models without photo textures within the Burlington downtown growth area and surrounding residential area, current as of July 2020 and created from:

1. photogrammetrically collected polygons procedurally modelled using ESRI's CityEngine2. Pictometry 3D models accurately produced from geo-referenced oblique imagery3. ESRI CityEngine procedurally produced 3D models4. Developer submitted 3D models. 


It is available in AutoCAD 2013, 2018 and ESRI file geodatabase multipatch feature class formats. The data is available for download from the City at:  https://opendata.burlington.ca/3D/2020/


Please note both 2015 and 2020 data sets are quite large requiring a very robust computer to allow working with an entire file.  It is recommended that users subset a required area of interest to make working with the data more manageable.
 Please download the files from our site, or Contact Us to request this data.
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
0.04
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2020-12-01
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.
The use of the data is subject only to the Open Data Terms of Use
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://navburl-Burlington.opendata.arcgis.com/datasets/Burlington::3d-building-sets-2020
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
GISCOB
Contact Point
Who to contact regarding access?
City of Burlington
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
City of Burlington
Publisher Email
Email of the publisher.
Author
Author of the dataset.
GISCOB
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2023-05-16
Field Value
Identifier
Unique identifier for the dataset.
08e1c5a7e74a4c13bca3b8361d169164
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://navburl-Burlington.opendata.arcgis.com/datasets/Burlington::3d-building-sets-2020
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 Burlington
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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