Dynamic Surface Water Maps of Canada from 1984-2023 Landsat Satellite Imagery
Datasets available for download
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Yearly Water Mask 1984TIFF
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Dynamic Surface Water Maps 1984-2023 - Frequency MapWMS
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Yearly Water Mask 1985TIFF
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Yearly Water Mask 1986TIFF
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Yearly Water Mask 1987TIFF
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Yearly Water Mask 1988TIFF
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Yearly Water Mask 1989TIFF
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Yearly Water Mask 1990TIFF
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Yearly Water Mask 1991TIFF
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Yearly Water Mask 1992TIFF
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Yearly Water Mask 1993TIFF
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Yearly Water Mask 1994TIFF
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Yearly Water Mask 1995TIFF
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Yearly Water Mask 1996TIFF
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Yearly Water Mask 1997TIFF
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Yearly Water Mask 1998TIFF
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Yearly Water Mask 1999TIFF
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Yearly Water Mask 2000TIFF
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Yearly Water Mask 2001TIFF
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Yearly Water Mask 2002TIFF
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Yearly Water Mask 2003TIFF
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Yearly Water Mask 2004TIFF
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Yearly Water Mask 2005TIFF
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Yearly Water Mask 2006TIFF
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Yearly Water Mask 2007TIFF
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Yearly Water Mask 2008TIFF
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Yearly Water Mask 2009TIFF
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Yearly Water Mask 2010TIFF
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Yearly Water Mask 2011TIFF
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Yearly Water Mask 2012TIFF
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Yearly Water Mask 2013TIFF
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Yearly Water Mask 2014TIFF
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Yearly Water Mask 2015TIFF
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Yearly Water Mask 2016TIFF
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Yearly Water Mask 2017TIFF
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Yearly Water Mask 2018TIFF
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Yearly Water Mask 2019TIFF
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Dynamic Surface Water Maps 1984-2023 - Web Map ServiceWMS
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Yearly Water Mask 2020TIFF
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Yearly Water Mask 2021TIFF
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Inundation Frequency 1984-2023TIFF
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Inundation Trends 1984-2023TIFF
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Dynamic Surface Water Maps 1984-2023 - Frequency MapWMS
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Yearly Water Mask 2022TIFF
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Yearly Water Mask 2023TIFF
Additional Info
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Last Updated | October 22, 2024, 15:55 (UTC) |
Created | October 1, 2024, 07:37 (UTC) |
Domain / Topic
Domain or topic of the dataset being cataloged.
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Geoscientific Information, Inland Waters |
Description
A description of the dataset.
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Knowledge of the location of Earth’s surface water in time and space is critical to inform policy decisions on environment, wildlife, and human security. Dynamic surface water maps generally represent water occurrence, also referred to as inundation frequency, depicting the percentage of valid observations when water is detected at the surface. The location and duration of surface water varies from areas of permanent water with 100% inundation frequency where water is always observed, to areas of permanent land with 0% inundation where water never occurs. Between these two extremes are areas of ephemeral water that experience periodic flooding with inundation frequencies between 0-100%. National-scale dynamic surface water information was generated for years 1984-2023 at 30m spatial resolution from the historical Landsat archive over Canada. The complete dataset consists of annual water maps and derived products including inundation frequency and inter-annual wetting and drying trends calculated using per-pixel logistic regression. The complete dataset enables an assessment of the timing, duration, and trends towards wetting or drying at regional to national scales. Associated publication: https://www.sciencedirect.com/science/article/pii/S0034425722002358 |
Tags
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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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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2022-01-01 |
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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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence - Canada |
Limits on use
Limits on use of data.
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Location
Location of the dataset.
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Environment and Climate Change Canada | Environnement et Changement climatique Canada |
Contact Point
Who to contact regarding access?
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Government of Canada;Natural Resources Canada;Canada Centre for Mapping and Earth Observation, thomas.rainville@nrcan-rncan.gc.ca |
Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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ian.olthof@ec.gc.ca |
Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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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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Source
Source of the dataset.
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https://open.canada.ca/data/en/dataset/62de5952-a5eb-4859-b086-22a8ba8024b8 |
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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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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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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