Surficial geology and geohazards of the greater Whitehorse area.
Remote predictive community-scale surficial geology mapping was completed for the greater Whitehorse area, through desktop interpretation of recent high-resolution imagery (primarily 2013–2019 lidar (Light Detection and Ranging) and 2007 air photos), and supported by field investigations carried out during the 2017–2021 field seasons. The nominal scale of mapping is 1:15 000, although some features were mapped at scales as large as 1:5000. This report provides background on the mapping methodology and classification system used, as well as some discussion of geohazards. The surficial geology is provided as a series of ten 1:15 000 scale map sheets in PDF format (Sheets 1 to 10; Fig. 1), and digitally in Esri geodatabase format (with standardized symbology files), as an accompaniment to this open file report. The map was also used to develop an aggregate potential model (Sheet 11), which can be used to help guide future exploration for gravel resources in the study area.
Geohazards that exist within the study area include landslides, radon gas, seismicity, permafrost and flooding. This report focusses on landslides as the primary geohazard, and includes a robust summary of the unprecedented landslide activity along the Whitehorse escarpment that occurred in early 2022. Recent and historical landslide features are also identified in the accompanying surficial geology map.
Landforms that indicate the presence of permafrost are likewise identified in the surficial geology map. Additionally, Yukon Geological Survey (YGS) collaborated with Yukon University Research Centre (YRC) from 2017 to 2021 to characterize permafrost in the region in detail. The results of this work were recently published by Roy et al. (2021). Their report also provides a summary of historical climate trends and future climate change projections for the Whitehorse area.
Datasets available for download
Additional Info
| Field | Value |
|---|---|
| Last Updated | October 20, 2025, 02:19 (UTC) |
| Created | October 20, 2025, 02:19 (UTC) |
|
Domain / Topic
Domain or topic of the dataset being cataloged.
|
|
|
Title
Title for the Dataset.
|
Surficial geology and geohazards of the greater Whitehorse area. |
|
Description
A description of the dataset.
|
Remote predictive community-scale surficial geology mapping was completed for the greater Whitehorse area, through desktop interpretation of recent high-resolution imagery (primarily 2013–2019 lidar (Light Detection and Ranging) and 2007 air photos), and supported by field investigations carried out during the 2017–2021 field seasons. The nominal scale of mapping is 1:15 000, although some features were mapped at scales as large as 1:5000. This report provides background on the mapping methodology and classification system used, as well as some discussion of geohazards. The surficial geology is provided as a series of ten 1:15 000 scale map sheets in PDF format (Sheets 1 to 10; Fig. 1), and digitally in Esri geodatabase format (with standardized symbology files), as an accompaniment to this open file report. The map was also used to develop an aggregate potential model (Sheet 11), which can be used to help guide future exploration for gravel resources in the study area. Geohazards that exist within the study area include landslides, radon gas, seismicity, permafrost and flooding. This report focusses on landslides as the primary geohazard, and includes a robust summary of the unprecedented landslide activity along the Whitehorse escarpment that occurred in early 2022. Recent and historical landslide features are also identified in the accompanying surficial geology map. Landforms that indicate the presence of permafrost are likewise identified in the surficial geology map. Additionally, Yukon Geological Survey (YGS) collaborated with Yukon University Research Centre (YRC) from 2017 to 2021 to characterize permafrost in the region in detail. The results of this work were recently published by Roy et al. (2021). Their report also provides a summary of historical climate trends and future climate change projections for the Whitehorse area. |
|
Tags / Keywords
Keywords/tags categorizing the dataset.
|
|
|
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.
|
2023-03-21 |
|
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).
|
|
|
License
License used to access the dataset.
|
Open Government Licence - Yukon |
|
Limits on use
Limits on use of data.
|
|
|
Location
Location of the dataset.
|
https://open.canada.ca/data/en/dataset/f1480c2e-c8fe-4880-b942-29eae1fb88c8 |
|
Data Service
Data service for accessing a dataset.
|
|
|
Owner
Owner of the dataset.
|
Government of Yukon | Gouvernement du Yukon |
|
Contact Point
Who to contact regarding access?
|
Yukon Geological Survey |
|
Contact Point Email
The email to contact regarding access?
|
|
|
Publisher
Publisher of the dataset.
|
|
|
Publisher Email
Email of the publisher.
|
[email protected] |
|
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
|
|
|
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.
|
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.
|
|
|
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.
|
0 Comments