Project Returns for Identification and Characterization of Abandoned Padded Wellsites Using Remote Sensing

The objective of this project was to map and characterize abandoned padded wellsites (i.e., constructed with imported mineral soil materials between 1940 and 2020) in peatlands within the Boreal and Foothills Regions of the Green area in Alberta. This Project used high-resolution LiDAR data combined with open-access optical data from Sentinel-2 to build a supervised machine learning model that detected padded sites. The classification procedure achieved 81.2% accuracy when predicting no pad and 73.9% accuracy when predicting a pad, for an overall classification accuracy of 78%. As a result, a total of 7,077 padded sites and 8,006 unpadded sites in peatland areas were obtained from the supervised classification. This dataset contains the locations of those 7,077 padded sites. These sites will be used by the Project team to select sites for a field-based research program and will be provided to EPA to enable improved regulatory efficiency in the Province of Alberta.

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• -CANADA
• ABANDONED-WELLS
• ALBERTA
• BOREAL-FOREST-REGION
• DOWNLOADABLE-DATA
• ENVIRONMENT
• FOOTHILLS-REGION
• LAND-COVER
• LIABILITY-MANAGEMENT
• NORTHERN-ALBERTA
• PADDED-WELLS
• PEATLANDS
• RECLAMATION
• REMOTE-SENSING

Additional Info

• Maturity Level 1 (38%)
• Maturity Level 2 (38%)
• Maturity Level 3 (11%)
• Maturity Level 4 (10%)
• Maturity Level 5 (0%)
• Maturity Level 6 (0%)

Field	Value
Last Updated	October 20, 2025, 00:39 (UTC)
Created	October 20, 2025, 00:39 (UTC)
Domain / Topic Domain or topic of the dataset being cataloged.
Title Title for the Dataset.	Project Returns for Identification and Characterization of Abandoned Padded Wellsites Using Remote Sensing
Description A description of the dataset.	The objective of this project was to map and characterize abandoned padded wellsites (i.e., constructed with imported mineral soil materials between 1940 and 2020) in peatlands within the Boreal and Foothills Regions of the Green area in Alberta. This Project used high-resolution LiDAR data combined with open-access optical data from Sentinel-2 to build a supervised machine learning model that detected padded sites. The classification procedure achieved 81.2% accuracy when predicting no pad and 73.9% accuracy when predicting a pad, for an overall classification accuracy of 78%. As a result, a total of 7,077 padded sites and 8,006 unpadded sites in peatland areas were obtained from the supervised classification. This dataset contains the locations of those 7,077 padded sites. These sites will be used by the Project team to select sites for a field-based research program and will be provided to EPA to enable improved regulatory efficiency in the Province of Alberta.
Tags / Keywords Keywords/tags categorizing the dataset.	-CANADA ABANDONED-WELLS ALBERTA BOREAL-FOREST-REGION DOWNLOADABLE-DATA ENVIRONMENT FOOTHILLS-REGION LAND-COVER LIABILITY-MANAGEMENT NORTHERN-ALBERTA PADDED-WELLS PEATLANDS RECLAMATION REMOTE-SENSING
Format (CSV, XLS, TXT, PDF, etc) File format of the dataset.
Dataset Size Dataset size in megabytes.
Metadata Identifier Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date Published date of the dataset.
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).	unrestricted
License License used to access the dataset.	Open Government Licence - Alberta
Limits on use Limits on use of data.
Location Location of the dataset.	https://open.alberta.ca/opendata/gda-3710ba91-ee59-419d-aff3-f0249c2cd0a3
Data Service Data service for accessing a dataset.
Owner Owner of the dataset.
Contact Point Who to contact regarding access?	{"Alberta Environment and Protected Areas, Government of Alberta","Alberta Energy Regulator"}
Contact Point Email The email to contact regarding access?	[email protected]
Publisher Publisher of the dataset.
Publisher Email Email of the publisher.
Author Author of the dataset.
Author Email Email of the author.
Accessed At Date the data and metadata was accessed.

Field	Value
Identifier Unique identifier for the dataset.
Language Language(s) of the dataset	English
Link to dataset description A URL to an external document describing the dataset.
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.	https://geodiscover.alberta.ca/geoportal/rest/metadata/item/9ace2795439a4eb0943249c3203cc1ca
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.
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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