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NRCan/canada_landcover_spot_2005_2010_en (ImageServer)

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Service Description:

The Government of Canada acquired a national image coverage from the Systeme Pour l'Observation de la Terre (SPOT 4-5) satellites that includes four multispectral bands in the visible to shortwave infrared region at 20m spatial resolution. Five years from 2005-2010 were necessary to image all of Canada under clear-sky conditions, while acquisition anniversary dates were less important provided the data were imaged during the snow-free period. These data were downloaded from the GeoBase Orthoimage 2005-2010 dataset (http://www.geobase.ca/geobase/en/data/imagery/imr/description.html) and used to map 2005-2010 land cover south of treeline. Northern Canada has not currently been remapped since circa-2000 due to technical challenges associated with land cover variability and image acquisition dates relative to short summers. This land cover product includes 16 generic classes based on plant functional type and a minimum mapping unit of 20m. Radiometric normalization was applied to balance images acquired near mid-summer during the 'peak-of-season' temporal window. The combined Enhancement and Classification by Progressive Generalization methods were used to classify large-area balanced mosaics over twenty mapping zones. Image interpretation was guided using high resolution imagery and other content in Google Earth. Knowledge of land cover spectral signatures, field experience and published reports were also used to assist interpretation in many regions. Remaining images acquired outside the peak-of-season window in early spring or late fall were subsequently classified using decision trees trained on data from overlapping classified peak-of-season images. Accuracy was assessed using ground truth data acquired during several field campaigns conducted with other government departments such as Parks Canada and the Geological Survey. This sample was enhanced using points interpreted in Google Earth as described above to provide a more even spatial coverage of Canada. Overall accuracy was assessed at 71% using 1566 reference points, more than half of which were acquired in the field. When assessed using only land cover that was homogeneous within 3 by 3 pixels to account for potential geolocation errors, accuracy increased to 85% for 349 points that were biased towards easily classified classes such as water.

The source data is accessible at https://neodf.nrcan.gc.ca/neodf_cat3/



Name: NRCan/canada_landcover_spot_2005_2010_en

Description:

The Government of Canada acquired a national image coverage from the Systeme Pour l'Observation de la Terre (SPOT 4-5) satellites that includes four multispectral bands in the visible to shortwave infrared region at 20m spatial resolution. Five years from 2005-2010 were necessary to image all of Canada under clear-sky conditions, while acquisition anniversary dates were less important provided the data were imaged during the snow-free period. These data were downloaded from the GeoBase Orthoimage 2005-2010 dataset (http://www.geobase.ca/geobase/en/data/imagery/imr/description.html) and used to map 2005-2010 land cover south of treeline. Northern Canada has not currently been remapped since circa-2000 due to technical challenges associated with land cover variability and image acquisition dates relative to short summers. This land cover product includes 16 generic classes based on plant functional type and a minimum mapping unit of 20m. Radiometric normalization was applied to balance images acquired near mid-summer during the 'peak-of-season' temporal window. The combined Enhancement and Classification by Progressive Generalization methods were used to classify large-area balanced mosaics over twenty mapping zones. Image interpretation was guided using high resolution imagery and other content in Google Earth. Knowledge of land cover spectral signatures, field experience and published reports were also used to assist interpretation in many regions. Remaining images acquired outside the peak-of-season window in early spring or late fall were subsequently classified using decision trees trained on data from overlapping classified peak-of-season images. Accuracy was assessed using ground truth data acquired during several field campaigns conducted with other government departments such as Parks Canada and the Geological Survey. This sample was enhanced using points interpreted in Google Earth as described above to provide a more even spatial coverage of Canada. Overall accuracy was assessed at 71% using 1566 reference points, more than half of which were acquired in the field. When assessed using only land cover that was homogeneous within 3 by 3 pixels to account for potential geolocation errors, accuracy increased to 85% for 349 points that were biased towards easily classified classes such as water.

The source data is accessible at https://neodf.nrcan.gc.ca/neodf_cat3/



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.001

Pixel Size Y: 0.001

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"name":"None","description":"A No-Op Function.","help":""}, {"name":"Barren","description":"A raster function template.","help":""}, {"name":"Bryoid","description":"A raster function template.","help":""}, {"name":"Deciduous_forest_medium_to_high","description":"A raster function template.","help":""}, {"name":"Erect_shrub","description":"A raster function template.","help":""}, {"name":"Evergreen_conifer_forest_high","description":"A raster function template.","help":""}, {"name":"Evergreen_conifer_forest_low","description":"A raster function template.","help":""}, {"name":"Evergreen_conifer_forest_medium","description":"A raster function template.","help":""}, {"name":"Herb_shrub","description":"A raster function template.","help":""}, {"name":"Herb_shrub_wetlands","description":"A raster function template.","help":""}, {"name":"Herbaceous","description":"A raster function template.","help":""}, {"name":"Ice","description":"A raster function template.","help":""}, {"name":"Mixed_forest_low_to_high","description":"A raster function template.","help":""}, {"name":"Recent_disturbance","description":"A raster function template.","help":""}, {"name":"Sparse_conifer_lichen","description":"A raster function template.","help":""}, {"name":"Water","description":"A raster function template.","help":""}, {"name":"Young_forest","description":"A raster function template.","help":""}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Government of Canada; Natural Resources Canada

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 0

Max Values: 16

Mean Values: 6.487005407039293

Standard Deviation Values: 5.776539526491152

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Get Samples   Compute Class Statistics