Land Cover Classification 2014 - 5m Hybrid (Raster)
A land cover classification for Metro Vancouver, Abbotsford and a 5km buffer, providing a contiguous surface mapped to broad biophysical classes. Created using RapidEye 5m multi-spectral satellite imagery and full feature LiDAR data (wherever available). The imagery dates from August 2014.
This is the LCC2014_5m_Hybrid version of the 2014 Land Cover Classification.
A land cover classification for Metro Vancouver, Abbotsford and a 5km buffer, providing a contiguous surface mapped to broad biophysical classes. Created using RapidEye 5m multi-spectral satellite imagery and full feature LiDAR data (wherever available). The imagery dates from August 2014.
Two approaches were taken to create the land cover depending on whether LiDAR data was available or not. Three layers were created in all:
LCC2014_2m_LiDAR – for LiDAR coverage areas, the classification was completed using both LiDAR and RapidEye. The resulting layer has a resolution of 2m because of the addition of LiDAR.
LCC2014_5m_NonHybrid – the entire study area was classified using only RapidEye and the output has a resolution of 5m. This layer is not generally recommended for use so is not provided as standard.
LCC2014_5m_Hybrid – the 2m LiDAR layer was downscaled to 5m, and merged with the 5m non-hybrid, creating a seamless 5m hybrid layer for the study area.
The 5m hybrid or 2m LiDAR are recommended for most uses.
Enquiries concerning this feature class should be directed to Josephine Clark
Classes
Level 1
Level 2
Level 3
Criteria
Built-up
Buildings
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Identified using shape/size, shadow cast, height, relative canopy height, texture.
Paved
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Everything from sidewalks and alleys to highways.
Other Built
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Not concrete/asphalt built surfaces or building roofs. Sports surfaces (artificial turf and running tacks), possibly transit or rail areas, other impervious surfaces, etc.
Bare
Barren
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Beaches, alpine rock, shoreline rock, etc. Lack of vegetation. Likely not soil (colour/context suggests no organic matter and/or imperviousness). Also quarries, gravel pits, dirt roads.
Soil
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Agricultural soils (could be light or dark), cleared/open areas where darker colours indicate organic matter present (as compared to, e.g. sand), potentially riverine/alluvial deposits.
Vegetation
Tree canopy
Coniferous
Predominantly coniferous (>75%)
Deciduous
Predominantly deciduous (>75%)
Shrub
Woody, leafy, and generally rough-textured vegetation shorter than trees (approx. <3-4m), taller than grass.
Grass-herb
Modified Grass-herb
Crops, golf course greens, city park grass, lawns, etc.
Natural Grass-herb
Alpine meadows, near-shore grass areas, bog/wetland areas.
Non-photosynthetic vegetation
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Dead grass, drought stressed vegetation, could include log booms.
Water
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Lakes, rivers, inlets, irrigation channels, retention ponds, pools, etc.
Shadow
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Dark pixels with v/ low reflectance values. Image features not easily visible. Compare w/ RapidEye image for shadow locations.
Clouds/Ice
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Very bright pixels, that are not high-reflectance features from built-up areas.
Datasets available for download
This dataset has no data
Additional Info
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| Last Updated | March 24, 2026, 22:48 (UTC) |
| Created | March 24, 2026, 22:48 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Land Cover Classification 2014 - 5m Hybrid (Raster) |
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Description
A description of the dataset.
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A land cover classification for Metro Vancouver, Abbotsford and a 5km buffer, providing a contiguous surface mapped to broad biophysical classes. Created using RapidEye 5m multi-spectral satellite imagery and full feature LiDAR data (wherever available). The imagery dates from August 2014. This is the LCC2014_5m_Hybrid version of the 2014 Land Cover Classification. A land cover classification for Metro Vancouver, Abbotsford and a 5km buffer, providing a contiguous surface mapped to broad biophysical classes. Created using RapidEye 5m multi-spectral satellite imagery and full feature LiDAR data (wherever available). The imagery dates from August 2014. Two approaches were taken to create the land cover depending on whether LiDAR data was available or not. Three layers were created in all:
The 5m hybrid or 2m LiDAR are recommended for most uses. Enquiries concerning this feature class should be directed to Josephine Clark Classes Level 1 Level 2 Level 3 Criteria Built-up Buildings -- Identified using shape/size, shadow cast, height, relative canopy height, texture. Paved -- Everything from sidewalks and alleys to highways. Other Built -- Not concrete/asphalt built surfaces or building roofs. Sports surfaces (artificial turf and running tacks), possibly transit or rail areas, other impervious surfaces, etc. Bare Barren -- Beaches, alpine rock, shoreline rock, etc. Lack of vegetation. Likely not soil (colour/context suggests no organic matter and/or imperviousness). Also quarries, gravel pits, dirt roads. Soil -- Agricultural soils (could be light or dark), cleared/open areas where darker colours indicate organic matter present (as compared to, e.g. sand), potentially riverine/alluvial deposits. Vegetation Tree canopy Coniferous Predominantly coniferous (>75%) Deciduous Predominantly deciduous (>75%) Shrub Woody, leafy, and generally rough-textured vegetation shorter than trees (approx. <3-4m), taller than grass. Grass-herb Modified Grass-herb Crops, golf course greens, city park grass, lawns, etc. Natural Grass-herb Alpine meadows, near-shore grass areas, bog/wetland areas. Non-photosynthetic vegetation -- Dead grass, drought stressed vegetation, could include log booms. Water -- -- Lakes, rivers, inlets, irrigation channels, retention ponds, pools, etc. Shadow -- -- Dark pixels with v/ low reflectance values. Image features not easily visible. Compare w/ RapidEye image for shadow locations. Clouds/Ice -- -- Very bright pixels, that are not high-reflectance features from built-up areas. |
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Tags / Keywords
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Format (CSV, XLS, TXT, PDF, etc)
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Dataset Size
Dataset size in megabytes.
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24938.03 |
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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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2023-05-17 |
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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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public |
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License
License used to access the dataset.
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Open Government License |
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Limits on use
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Location
Location of the dataset.
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https://open-data-portal-metrovancouver.hub.arcgis.com/datasets/9aace81eb942416ab0cd6189d9a840e3 |
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Data Service
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Owner
Owner of the dataset.
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mvagoladmin |
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Contact Point
Who to contact regarding access?
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Contact Point Email
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Publisher
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Publisher Email
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Author
Author of the dataset.
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mvagoladmin |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2023-05-17 |
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Identifier
Unique identifier for the dataset.
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9aace81eb942416ab0cd6189d9a840e3 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://open-data-portal-metrovancouver.hub.arcgis.com/datasets/9aace81eb942416ab0cd6189d9a840e3 |
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Persistent Identifier
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Globally Unique Identifier
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Contains 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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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
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Is version of another dataset
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Other versions
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Provenance Text
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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
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Number of data columns
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Number of data cells
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Number of data relations
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Number of data properties
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Data quality
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Metric for data quality
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