13 datasets found
  1. Annual Crop Inventory

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +3more
    csv, esri rest +4
    Updated Jun 17, 2024
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    Agriculture and Agri-Food Canada (2024). Annual Crop Inventory [Dataset]. https://open.canada.ca/data/en/dataset/ba2645d5-4458-414d-b196-6303ac06c1c9
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    esri rest, wms, geotif, pdf, html, csvAvailable download formats
    Dataset updated
    Jun 17, 2024
    Dataset provided by
    Agriculture and Agri Food Canadahttps://agriculture.canada.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).

  2. Annual Crop Inventory 2010

    • datasets.ai
    • catalogue.arctic-sdi.org
    • +3more
    0, 21, 23, 33, 52, 8
    Updated Oct 8, 2024
    + more versions
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    Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada (2024). Annual Crop Inventory 2010 [Dataset]. https://datasets.ai/datasets/6dc5170d-4167-47e4-b80a-93ed2b47f023
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    52, 21, 33, 23, 0, 8Available download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    Agriculture and Agri Food Canadahttps://agriculture.canada.ca/
    Authors
    Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
    Description

    In 2010 the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) continued the process of generating annual crop inventory digital maps using satellite imagery. Focusing on the Prairie Provinces, a Decision Tree (DT) based methodology was applied using both optical (AWiFS, Landsat-5, DMC) and radar (RADARSAT-2) based satellite imagery, and having a final spatial resolution of 56m. Methods were also developed to enhance the optical classification with RADARSAT-2 imagery, addressing issues associated with cloud cover. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from our regional AAFC colleagues. The overall process for Crop Inventory Map includes: satellite data acquisition; field data acquisition for classification training and accuracy assessment; and, operational implementation of the classification methodology.

  3. u

    Annual Crop Inventory - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Sep 13, 2024
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    (2024). Annual Crop Inventory - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-ba2645d5-4458-414d-b196-6303ac06c1c9
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    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).

  4. u

    Canada Harmonized Agriculture Forest Land Cover 2015 - Catalogue - Canadian...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
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    (2024). Canada Harmonized Agriculture Forest Land Cover 2015 - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-5c3f7678-6f42-42fe-be57-7b91de4d9c4b
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Canada Harmonized Agriculture Forest Land Cover 2015 The harmonized land cover (HLC) map is produced from Agriculture and Agri-Food Canada (AAFC) and Canadian Forest Service (CFS) data. The HLC product is exhaustive of all area from the northern edge of Canada’s forested ecosystems to the southern border. The land cover is following Intergovernmental Panel on Climate Change (IPCC) categories, represents the year 2015, and is at 30-m spatial resolution. This harmonized land cover map combines two sector-driven land cover products: the Virtual Land Cover Engine or VLCE from the CFS (Hermosilla et al., 2018), and AAFC's Annual Crop Inventory or ACI (Agriculture and Agri-Food Canada, 2018). The harmonization process was conducted using a Latent Dirichlet Allocation (LDA) model. The LDA model used regionalized class co-occurrences from multiple maps to generate a harmonized class label for each pixel by statistically characterizing land attributes from the class co-occurrences, using the information provided by the error matrices and semantic affinity scores. For a complete overview on the data, methods applied, and information on independent accuracy assessment, see Li et al. (2020). When using this data, please cite as: Li, Z., White, J.C., Wulder, M.A., Hermosilla, T., Davidson, A.M., Comber, A.J., 2020. Land cover harmonization using Latent Dirichlet Allocation. International Journal of Geographical Information Science. DOI: https://doi.org/10.1080/13658816.2020.1796131 (Open access) ( Li et al. 2020). For additional resources on the data used and methods applied, please see: Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., 2018. Disturbance-informed annual land cover classification maps of Canada’s forested ecosystems for a 29-year Landsat time series. Canadia Journal of Remote Sensing 44(1), 67-87. https://doi.org/10.1080/07038992.2018.1437719 (Open access) ( Hermosilla et al. 2018). Agriculture and Agri-Food Canada, 2018. Annual Crop Inventory [WWW Document]. URL https://open.canada.ca/data/en/dataset/ba2645d5-4458-414d-b196-6303ac06c1c9. ( AAFC, 2018. Annual Crop Inventory ).

  5. s

    Prairie Landscape Inventory (PLI) - Cypress Upland Classification

    • geohub.saskatchewan.ca
    • environment-saskatchewan.hub.arcgis.com
    Updated Nov 27, 2024
    + more versions
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    Government of Saskatchewan (2024). Prairie Landscape Inventory (PLI) - Cypress Upland Classification [Dataset]. https://geohub.saskatchewan.ca/maps/f6b4e080711441128f6cc8cf770e0070
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Government of Saskatchewan
    License

    https://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdfhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf

    Description

    Download: hereThe Prairie Landscape Inventory (PLI) aims to develop improved methods of assessing land cover and land use for conservation. Native grassland has historically been one of the hardest to map at-risk ecosystems because of the challenges in distinguishing native grassland from tame grassland land cover using remotely sensed imagery. This classification distinguishes native grassland from tame grassland and will provide valuable information for habitat suitability for native grassland species, identifying high biodiversity potential and invasion risk potential. The classification map has seven (7) classes. The mixed grassland class included in the PLI land cover classification for other prairie ecoregions was not modelled in the Cypress Upland.1. CroplandThis class represents all cultivated areas with crop commodities, including corn, pulse, soybeans, canola, grains, and summer-fallow.2. Native grasslandThis class represents the native grassland areas that are composed of at least 75% native grass, sedge and forb species, such as the needle grasses and wheatgrasses along with June grass and blue grama grass. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project. 4. Tame grasslandThis class represents the tame grassland areas that are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, Kentucky bluegrass, alfalfa, and sweet clover.5. WaterThis class represents permanent water locations such as lakes and rivers.6. ShrubsThis class represents the sites dominated by woody vegetation of relatively low height (generally +/-2 meters) with shrub canopy typically >20% of total vegetation cover.7. TreesThis class represents the coniferous/deciduous trees, mixed-wood area, and other trees >2 meters height with tree canopy typically >20% of total vegetation cover.9. Urban areaThis class represents both urban municipalities and buffered roads. Urban municipalities was used to mask the urban/developed area class of the Annual Crop Inventory 2021 (Agriculture Agri-Food Canada).Colour Classes:

    Value

    Label

    Red

    Green

    Blue

    1

    Cropland

    255

    255

    190

    2

    Native grassland

    168

    168

    0

    4

    Tame grassland

    245

    202

    122

    5

    Water

    190

    232

    255

    6

    Shrubs

    205

    102

    153

    7

    Trees

    66

    128

    53

    9

    Urban area

    128

    128

    128

    Accuracy metricsThis model has an overall accuracy of 92 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset.

    Class

    User’s accuracy (%)

    Producer’s accuracy (%)

    F1-score

    Cropland

    96

    96

    0.96

    Native grassland

    90

    93

    0.92

    Tame grassland

    93

    71

    0.82

    Water

    100

    100

    1.00

    Shrubs

    77

    88

    0.83

    Trees

    96

    996

    0.96

  6. G

    Prairie Landscape Inventory (PLI) - Mixed Grassland Classification

    • ouvert.canada.ca
    • geohub.saskatchewan.ca
    • +5more
    html
    Updated May 14, 2025
    + more versions
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    Government of Saskatchewan (2025). Prairie Landscape Inventory (PLI) - Mixed Grassland Classification [Dataset]. https://ouvert.canada.ca/data/dataset/4f5dfd79-445f-e2c2-c6ed-ae3648b1a635
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    htmlAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset provided by
    Government of Saskatchewan
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Land cover imagery for the mixed grassland ecoregion of Saskatchewan with a resolution of 10m. Classification was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery. The goal of this land cover was to distinguish native from tame grasslands, and is classified into several classes: cropland, native grassland, mixed grassland, tame grassland, water, shrubs and trees. Please also refer to the Prairie Landscape Inventory (PLI) - Mixed Grassland Accuracy raster file, which depicts the estimated level of accuracy for this this classification. Download: Here Land cover imagery for the mixed grassland ecoregion of Saskatchewan with a resolution of 10m. Classification was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery. The goal of this land cover was to distinguish native from tame grasslands, and is classified into several classes: cropland, native grassland, mixed grassland, tame grassland, water, shrubs and trees. Badreldin, N.; Prieto, B.; Fisher, R. Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning. Remote Sens. 2021, 13, 4972. https://doi.org/10.3390/rs13244972The Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish, Wildlife and Lands Branch, Ministry of Environment aims to develop improved methods of assessing land cover and land use for conservation. Native grassland, in particular, has been one of the most hard to map at risk ecosystems because of difficulty for imagery classification methods to distinguish native from tame grasslands. Improved classification methods will provide valuable information for habitat suitability, identifying high biodiversity potential and invasion risk potential. The classification map has seven (7) classes: 1. Cropland This class represents all cultivated areas with crop commodities such as corn, Pulses, Soybeans, canola, grains, and summer-fallow. 2. Native This class represents the native grassland areas of the Mixed Grasslands, which are composed primarily of native grass species such as the needle grasses (needle and thread, porcupine grass and green needle grass), wheat grasses (slender wheatgrass, western wheatgrass and awned wheatgrass) along with June grass and blue grama grass. Also includes a variety of additional grass and sedge species, forbs such as pasture sage and some non-vascular species such as selaginella or lichens. 3. Mixed This class represents one or more of the followings cases; o A higher heterogenic grassland terrain with a mix of less than 75% native or/and less than 75% tame; o Native or/and tame grassland affected by high abiotic stresses such as soil salinity and drought; o Native or/and tame grassland affected by soil erosion such as water and wind erosions; o A high disturbed area by livestock and human activities; and o A bare terrain with low vegetation cover < 50% coverage in 100 m2 area. 4. TameThis class represents the tame grassland areas that have in most cases been intentionally modified and seeded or planted with an introduced grass species such as crested wheatgrass and smooth brome. Russian wild rye is encountered typically planted in more saline areas. However, in more recent years’ horticultural varieties of various wheatgrass species have also been introduced. Alfalfa and sweet clover are the most commonly encountered introduced forb species. 5. Water This class represents one of the following hydrological forms: o Lakes; o Rivers; o Water ponds; o Streamflow; o Dugouts; and o Lower elevations in irrigated areas. 6. Shrubs (Modified from ISO 19131 Annual Crop Inventory – Data Product Specifications, Agriculture and Agri-food Canada, 2013.)This class represents the predominantly woody vegetation of relatively low height (generally ±2 m). This class may include grass or wetlands with woody vegetation, and regenerating forest. 7. Trees (Modified from ISO 19131 Annual Crop Inventory – Data Product Specifications, Agriculture and Agri-food Canada, 2013.)This class represents predominantly forest areas such as: o Coniferous trees; o Deciduous trees; o Mixedwood area; and o Other trees > 2 m height. Colour Classes: Value Label Red Green Blue 1 Cropland 255 255 190 2 Native 168 168 0 3 Mixed 199 215 158 4 Tame 245 202 122 5 Water 190 232 255 6 Shrubs 205 102 153 7 Trees 38 115 0 Accuracy:Please refer to the Prairie Landscape Inventory (PLI) - Mixed Grassland Accuracy raster file, which depicts the estimated level of accuracy for this classification.

  7. a

    Prairie Landscape Inventory (PLI) - Moist Mixed Grassland Classification

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 16, 2023
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Government of Saskatchewan
    License

    https://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdfhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf

    Area covered
    Description

    Download: HereThe Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish and Wildlife Branch, Ministry of Environment aims to develop improved methods of assessing land cover and land use for conservation. Native grassland, in particular, has been one of the most hard to map at risk ecosystems because of difficulty for imagery classification methods to distinguish native from tame grasslands. Improved classification methods will provide valuable information for habitat suitability, identifying high biodiversity potential and invasion risk potential. The classification map has seven (7) classes: 1. CroplandThis class represents all cultivated areas with crop commodities: corn, pulse, soybeans, canola, grains, summer-fallow.2. Native grasslandThis class represents the native grassland areas of the Moist Mixed Grassland ecoregion, which are composed of at least 75% native grass species, such as the needle grasses, wheatgrasses along with June grass and blue grama grass. Also includes additional sedge species, forbs, and some non-vascular species. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project. 3. Mixed grasslandThis class represent a heterogenic grassland with a mix of less than 75% native grass species or less than 75% tame species. 4. Tame grasslandThis class represents the tame grassland areas of the Moist Mixed Grassland ecoregion, which are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, alfalfa, sweet clover.5. WaterThis class represents permanent water locations such as lakes and rivers.8. Woody plantsThis class represents the sites dominated by woody vegetation including shrubs and trees with typically more than 20% canopy cover.9. Urban areaThis class was masked using urban/developed area class of the Annual Crop Inventory 2020 (Agriculture Agri-Food Canada), and limited within the urban municipality polygons.Colour Classes:

    Value

    Label

    Red

    Green

    Blue

    1

    Cropland

    255

    255

    190

    2

    Native grassland

    168

    168

    0

    3

    Mixed grassland

    199

    215

    158

    4

    Tame grassland

    245

    202

    122

    5

    Water

    190

    232

    255

    8

    Woody plants

    137

    205

    102

    9

    Urban area

    128

    128

    128

    Accuracy metricsThis model has an overall accuracy of 70.3 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset.

    Class

    User’s accuracy (%)

    Producer’s accuracy (%)

    F1-score

    Cropland

    74.7

    87.1

    0.81

    Native grassland

    61.7

    78.3

    0.69

    Mixed grassland

    57.7

    26.1

    0.36

    Tame grassland

    66.9

    69.8

    0.68

    Water

    96.3

    84.4

    0.90

    Woody plants

    81.1

    73.2

    0.77

  8. G

    Prairie Landscape Inventory (PLI) - Aspen Parkland Classification

    • open.canada.ca
    • catalogue.arctic-sdi.org
    html
    Updated May 14, 2025
    + more versions
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    Government of Saskatchewan (2025). Prairie Landscape Inventory (PLI) - Aspen Parkland Classification [Dataset]. https://open.canada.ca/data/dataset/da65cc4b-3baa-7e42-b881-af22ba859032
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset provided by
    Government of Saskatchewan
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Land cover classification image for the Aspen Parkland ecoregion of Saskatchewan with a spatial resolution of 10m. The goal of this land cover classification was to distinguish native from tame grasslands. The classification was based on Sentinel-1 and Sentinel-2 imagery using machine learning analysis in the Google Earth Engine platform. The classification was conducted on imagery acquired in 2022, and the classification model was built with field data collected in 2020 - 2022. There are eight classes in total: native grassland, tame grassland, mixed/altered grassland, cropland, shrubs, trees, water, and urban area. Download: here The Prairie Landscape Inventory (PLI) aims to develop improved methods of assessing land cover and land use for conservation. Native grassland has historically been one of the hardest to map at-risk ecosystems because of the challenges in distinguishing native grassland from tame grassland land cover using remotely sensed imagery. This classification distinguishes native grassland from tame grassland and will provide valuable information for habitat suitability for native grassland species, identifying high biodiversity potential and invasion risk potential. The classification map has eight (8) classes: 1. Cropland This class represents all cultivated areas with crop commodities, including corn, pulse, soybeans, canola, grains, and summer-fallow. 2. Native grassland This class represents the native grassland areas that are composed of at least 75% native grass, sedge and forb species, such as the needle grasses and wheatgrasses along with June grass and blue grama grass. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project. 3. Mixed/altered grassland This class represents a grassland with a mix of less than 75% native grass, sedge and forb species or less than 75% tame species. These are grassland areas that do not fit into either of the native or tame grassland definitions. 4. Tame grassland This class represents the tame grassland areas that are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, Kentucky bluegrass, alfalfa, and sweet clover. 5. Water This class represents permanent water locations such as lakes and rivers. 6. Shrubs This class represents the sites dominated by woody vegetation of relatively low height (generally +/-2 meters) with shrub canopy typically >20% of total vegetation cover. 7. Trees This class represents the coniferous/deciduous trees, mixed-wood area, and other trees >2 meters height with tree canopy typically >20% of total vegetation cover. 9. Urban area This class represents both urban municipalities and buffered roads. Urban municipalities was used to mask the urban/developed area class of the Annual Crop Inventory 2021 (Agriculture Agri-Food Canada). Colour Classes: Value Label Red Green Blue 1 Cropland 255 255 190 2 Native grassland 168 168 0 3 Mixed/altered grassland 199 215 158 4 Tame grassland 245 202 122 5 Water 190 232 255 6 Shrubs 205 102 153 7 Trees 66 128 53 9 Urban area 128 128 128 Accuracy metrics This model has an overall accuracy of 73 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset. Class User’s accuracy (%) Producer’s accuracy (%) F1-score Cropland 91.2 94.5 0.93 Native grassland 74.8 73.1 0.74 Mixed grassland 44.7 44.1 0.44 Tame grassland 67.9 72.8 0.70 Water 94.8 91.3 0.93 Shrubs 61.2 51.1 0.56 Trees 89.7 94.6 0.92

  9. s

    Prairie Landscape Inventory (PLI) - Moist Mixed Grassland Classification

    • geohub.saskatchewan.ca
    • hub.arcgis.com
    • +1more
    Updated Feb 16, 2023
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    Government of Saskatchewan (2023). Prairie Landscape Inventory (PLI) - Moist Mixed Grassland Classification [Dataset]. https://geohub.saskatchewan.ca/maps/bc632e0b3a314e85a4cf077669af0dda
    Explore at:
    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Government of Saskatchewan
    License

    https://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdfhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf

    Area covered
    Description

    Download: HereThe Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish and Wildlife Branch, Ministry of Environment aims to develop improved methods of assessing land cover and land use for conservation. Native grassland, in particular, has been one of the most hard to map at risk ecosystems because of difficulty for imagery classification methods to distinguish native from tame grasslands. Improved classification methods will provide valuable information for habitat suitability, identifying high biodiversity potential and invasion risk potential. The classification map has seven (7) classes: 1. CroplandThis class represents all cultivated areas with crop commodities: corn, pulse, soybeans, canola, grains, summer-fallow.2. Native grasslandThis class represents the native grassland areas of the Moist Mixed Grassland ecoregion, which are composed of at least 75% native grass species, such as the needle grasses, wheatgrasses along with June grass and blue grama grass. Also includes additional sedge species, forbs, and some non-vascular species. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project. 3. Mixed grasslandThis class represent a heterogenic grassland with a mix of less than 75% native grass species or less than 75% tame species. 4. Tame grasslandThis class represents the tame grassland areas of the Moist Mixed Grassland ecoregion, which are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, alfalfa, sweet clover.5. WaterThis class represents permanent water locations such as lakes and rivers.8. Woody plantsThis class represents the sites dominated by woody vegetation including shrubs and trees with typically more than 20% canopy cover.9. Urban areaThis class was masked using urban/developed area class of the Annual Crop Inventory 2020 (Agriculture Agri-Food Canada), and limited within the urban municipality polygons.Colour Classes:

    Value

    Label

    Red

    Green

    Blue

    1

    Cropland

    255

    255

    190

    2

    Native grassland

    168

    168

    0

    3

    Mixed grassland

    199

    215

    158

    4

    Tame grassland

    245

    202

    122

    5

    Water

    190

    232

    255

    8

    Woody plants

    137

    205

    102

    9

    Urban area

    128

    128

    128

    Accuracy metricsThis model has an overall accuracy of 70.3 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset.

    Class

    User’s accuracy (%)

    Producer’s accuracy (%)

    F1-score

    Cropland

    74.7

    87.1

    0.81

    Native grassland

    61.7

    78.3

    0.69

    Mixed grassland

    57.7

    26.1

    0.36

    Tame grassland

    66.9

    69.8

    0.68

    Water

    96.3

    84.4

    0.90

    Woody plants

    81.1

    73.2

    0.77

  10. s

    Prairie Landscape Inventory (PLI) - Aspen Parkland Classification

    • geohub.saskatchewan.ca
    • hub.arcgis.com
    • +3more
    Updated Nov 27, 2024
    + more versions
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    Government of Saskatchewan (2024). Prairie Landscape Inventory (PLI) - Aspen Parkland Classification [Dataset]. https://geohub.saskatchewan.ca/maps/e75628d63bf646df99d70cc8e5e5e391
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Government of Saskatchewan
    License

    https://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdfhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf

    Description

    Download: hereThe Prairie Landscape Inventory (PLI) aims to develop improved methods of assessing land cover and land use for conservation. Native grassland has historically been one of the hardest to map at-risk ecosystems because of the challenges in distinguishing native grassland from tame grassland land cover using remotely sensed imagery. This classification distinguishes native grassland from tame grassland and will provide valuable information for habitat suitability for native grassland species, identifying high biodiversity potential and invasion risk potential.The classification map has eight (8) classes: 1. CroplandThis class represents all cultivated areas with crop commodities, including corn, pulse, soybeans, canola, grains, and summer-fallow.2. Native grasslandThis class represents the native grassland areas that are composed of at least 75% native grass, sedge and forb species, such as the needle grasses and wheatgrasses along with June grass and blue grama grass. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project. 3. Mixed/altered grasslandThis class represents a grassland with a mix of less than 75% native grass, sedge and forb species or less than 75% tame species. These are grassland areas that do not fit into either of the native or tame grassland definitions. 4. Tame grasslandThis class represents the tame grassland areas that are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, Kentucky bluegrass, alfalfa, and sweet clover.5. WaterThis class represents permanent water locations such as lakes and rivers.6. ShrubsThis class represents the sites dominated by woody vegetation of relatively low height (generally +/-2 meters) with shrub canopy typically >20% of total vegetation cover.7. TreesThis class represents the coniferous/deciduous trees, mixed-wood area, and other trees >2 meters height with tree canopy typically >20% of total vegetation cover.9. Urban areaThis class represents both urban municipalities and buffered roads. Urban municipalities was used to mask the urban/developed area class of the Annual Crop Inventory 2021 (Agriculture Agri-Food Canada). Colour Classes:

    Value

    Label

    Red

    Green

    Blue

    1

    Cropland

    255

    255

    190

    2

    Native grassland

    168

    168

    0

    3

    Mixed/altered grassland

    199

    215

    158

    4

    Tame grassland

    245

    202

    122

    5

    Water

    190

    232

    255

    6

    Shrubs

    205

    102

    153

    7

    Trees

    66

    128

    53

    9

    Urban area

    128

    128

    128

    Accuracy metricsThis model has an overall accuracy of 73 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset.

    Class

    User’s accuracy (%)

    Producer’s accuracy (%)

    F1-score

    Cropland

    91.2

    94.5

    0.93

    Native grassland

    74.8

    73.1

    0.74

    Mixed grassland

    44.7

    44.1

    0.44

    Tame grassland

    67.9

    72.8

    0.70

    Water

    94.8

    91.3

    0.93

    Shrubs

    61.2

    51.1

    0.56

    Trees

    89.7

    94.6

    0.92

  11. u

    Southern Digital Landcover - Catalogue - Canadian Urban Data Catalogue...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 22, 2024
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    (2024). Southern Digital Landcover - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-005c6b86-bd92-0d6c-47be-d4232f2a5415
    Explore at:
    Dataset updated
    Oct 22, 2024
    Area covered
    Canada
    Description

    Landcover dataset created for the agricultural portion of Saskatchewan. Download: here A satellite imagery classification of Southern Saskatchewan based mainly on 1994 Landsat5 imagery. Developed by the Saskatchewan Research Council after 1997. Background: A group of Provincial and Federal Agencies formed a partnership in March of 1997 to share the cost of obtaining satellite imagery and interpreting this imagery to create a landcover dataset for the agricultural portion of Saskatchewan. The partnership included Saskatchewan Research Council (SRC), Saskatchewan Agriculture and Food (SAF), Saskatchewan Crop Insurance (SCI), Saskatchewan Property Management Corporation (SPMC), Environment Canada, the Prairie Farm Rehabilitation Administration (PFRA) and Saskatchewan Environment Resource Management (SERM). The University of Regina was also involved as an 'in kind' partner providing research services in the area of land cover classifications, accuracy assessment and data conversions. The Partnership Agreement required SRC (partner doing the bulk of data processing) to provide digital files for each of 328 1:50,000 NTS map sheets. The digital files included not only raw imagery, but also one file for each map sheet where the imagery was classified into 24 landcover types. The accuracy of this classification was to be demonstrated by SRC to be at least 90 per cent correct. In addition to the data processing done by SRC, SPMC provided the necessary positional control data (road intersection coordinates) and verified the positional accuracy of the final product. The other partners provided feedback to SRC on classification errors, which improved the overall accuracy of the final product. Classification Value No Data 0 Crop Land 1 Hay Crops (Forage) 2 Native Dominant Grass Lands 3 Tall Shrubs 4 Pasture (Seeded Grass Lands) 5 Hardwoods (Open Canopy) 6 Hardwoods (Closed Canopy) 7 Jack Pine (Closed Canopy) 8 Jack Pine (Open Canopy) 9 Spruce (Close Canopy) 10 Treed Rock 13 Recent Burns 14 Revegetating Burns 15 Cutovers 16 Water Bodies 17 Marsh 18 Herbaceous Fen 19 Mud/Sand/Saline 20 Shrub Fen (Treed Swamp) 21 Treed Bog 22 Open Bog 23 Slopes 25 Slopes 26 0. No Data 1. Crop Land - All lands dedicated to the production of annual cereal, oil seed and other specialty crops, and typically cultivated on an annual basis. 2. Hay Crops (Forage) - Alfalfa and alfalfa/tame grass mixtures. 3. Native Dominant Grass Lands - Native dominant grasslands/may contain tame grasses and herbs. 4. Tall Shrubs - Communities containing both low and tall shrub, snowberry, saskatoon, chokecherry, buffaloberry, and willow. 5. Pasture (Seeded Grass Lands) - Grassland dominated by tame grass species. 6. Hardwoods (Open Canopy) - Corresponds to Provincial Forest Inventory: over 75% hardwoods; 10-30% crown closure. 7. Hardwoods (Closed Canopy) - Corresponds to Provincial Forest Inventory: over 75% hardwoods; 30-100% crown closure. 8. Jack Pine (Closed Canopy) - Similar to Provincial Forest Inventory: 75% or greater Jack Pine; 30-100% crown closure. 9. Jack Pine (Open Canopy) - Similar to Provincial Forest Inventory: 75% or greater Jack Pine; 10-30% crown closure. 10. Spruce (Close Canopy) - Similar to Provincial Forest Inventory: 75% or greater Black and White Spruce; 10-30% crown closure. 11. Spruce: Open Canopy - Similar to Provincial Forest Inventory: 75% or greater Black and White Spruce; 10-30% crown closure. 12. Mixed Woods - All softwood/hardwood mixtures. 13. Treed Rock - Areas of exposed bedrock with generally less then 10% tree cover. Dominant species are Jack Pine and Black Spruce. 14. Recent Burns - All areas that have been recently burned over by wildfires. 15. Revegetating Burns - Burns with a regrowth of commercial timber generally 1-5 metres in height. 16. Cutovers - Areas where commercial timber has been completely or partially removed by logging operations. 17. Water Bodies - Consists of all open water - lakes, rivers, streams, ponds, and lagoons. 18. Marsh - Dominated by sedge and wetland grasses. 19. Herbaceous Fen - Fens dominated by herbaceous species. 20. Mud/Sand/Saline 21. Shrub Fen (Treed Swamp) - Fens dominated by shrubby species. 22. Treed Bog - Peat-covered or peat-filled depressions with a high water table and a surface carpet of moss, chiefly sphagnum. The bogs have 25% or more canopy by trees greater than one metre tall. The primary species is black spruce. 23. Open Bog - Peat-covered or peat-filled depressions with a high water table and a surface carpet of moss, chiefly sphagnum. 24. Farmstead - Farmstead types, towns, cities, Exposed areas with little or no vegetation or Cloud coverage. 25. Slopes - Steep Valley slopes or hill slopes where aspect and slope prohibit classification. 26. Slopes - Steep Valley slopes or hill slopes where aspect and slope prohibit classification.

  12. s

    Southern Digital Landcover

    • geohub.saskatchewan.ca
    • environment-saskatchewan.hub.arcgis.com
    Updated Nov 26, 2019
    + more versions
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    Government of Saskatchewan (2019). Southern Digital Landcover [Dataset]. https://geohub.saskatchewan.ca/maps/southern-digital-landcover
    Explore at:
    Dataset updated
    Nov 26, 2019
    Dataset authored and provided by
    Government of Saskatchewan
    Area covered
    Description

    Download: hereA satellite imagery classification of Southern Saskatchewan based mainly on 1994 Landsat5 imagery. Developed by the Saskatchewan Research Council after 1997. Background: A group of Provincial and Federal Agencies formed a partnership in March of 1997 to share the cost of obtaining satellite imagery and interpreting this imagery to create a landcover dataset for the agricultural portion of Saskatchewan. The partnership included Saskatchewan Research Council (SRC), Saskatchewan Agriculture and Food (SAF), Saskatchewan Crop Insurance (SCI), Saskatchewan Property Management Corporation (SPMC), Environment Canada, the Prairie Farm Rehabilitation Administration (PFRA) and Saskatchewan Environment Resource Management (SERM). The University of Regina was also involved as an 'in kind' partner providing research services in the area of land cover classifications, accuracy assessment and data conversions. The Partnership Agreement required SRC (partner doing the bulk of data processing) to provide digital files for each of 328 1:50,000 NTS map sheets. The digital files included not only raw imagery, but also one file for each map sheet where the imagery was classified into 24 landcover types. The accuracy of this classification was to be demonstrated by SRC to be at least 90 per cent correct. In addition to the data processing done by SRC, SPMC provided the necessary positional control data (road intersection coordinates) and verified the positional accuracy of the final product. The other partners provided feedback to SRC on classification errors, which improved the overall accuracy of the final product.

    Classification

    Value

    No Data

    0

    Crop Land

    1

    Hay Crops (Forage)

    2

    Native Dominant Grass Lands

    3

    Tall Shrubs

    4

    Pasture (Seeded Grass Lands)

    5

    Hardwoods (Open Canopy)

    6

    Hardwoods (Closed Canopy)

    7

    Jack Pine (Closed Canopy)

    8

    Jack Pine (Open Canopy)

    9

    Spruce (Close Canopy)

    10

    Treed Rock

    13

    Recent Burns

    14

    Revegetating Burns

    15

    Cutovers

    16

    Water Bodies

    17

    Marsh

    18

    Herbaceous Fen

    19

    Mud/Sand/Saline

    20

    Shrub Fen (Treed Swamp)

    21

    Treed Bog

    22

    Open Bog

    23

    Slopes

    25

    Slopes

    26

    1. No Data1. Crop Land - All lands dedicated to the production of annual cereal, oil seed and other specialty crops, and typically cultivated on an annual basis. 2. Hay Crops (Forage) - Alfalfa and alfalfa/tame grass mixtures. 3. Native Dominant Grass Lands - Native dominant grasslands/may contain tame grasses and herbs. 4. Tall Shrubs - Communities containing both low and tall shrub, snowberry, saskatoon, chokecherry, buffaloberry, and willow. 5. Pasture (Seeded Grass Lands) - Grassland dominated by tame grass species. 6. Hardwoods (Open Canopy) - Corresponds to Provincial Forest Inventory: over 75% hardwoods; 10-30% crown closure. 7. Hardwoods (Closed Canopy) - Corresponds to Provincial Forest Inventory: over 75% hardwoods; 30-100% crown closure. 8. Jack Pine (Closed Canopy) - Similar to Provincial Forest Inventory: 75% or greater Jack Pine; 30-100% crown closure. 9. Jack Pine (Open Canopy) - Similar to Provincial Forest Inventory: 75% or greater Jack Pine; 10-30% crown closure. 10. Spruce (Close Canopy) - Similar to Provincial Forest Inventory: 75% or greater Black and White Spruce; 10-30% crown closure. 11. Spruce: Open Canopy - Similar to Provincial Forest Inventory: 75% or greater Black and White Spruce; 10-30% crown closure. 12. Mixed Woods - All softwood/hardwood mixtures. 13. Treed Rock - Areas of exposed bedrock with generally less then 10% tree cover. Dominant species are Jack Pine and Black Spruce. 14. Recent Burns - All areas that have been recently burned over by wildfires. 15. Revegetating Burns - Burns with a regrowth of commercial timber generally 1-5 metres in height. 16. Cutovers - Areas where commercial timber has been completely or partially removed by logging operations. 17. Water Bodies - Consists of all open water - lakes, rivers, streams, ponds, and lagoons. 18. Marsh - Dominated by sedge and wetland grasses. 19. Herbaceous Fen - Fens dominated by herbaceous species. 20. Mud/Sand/Saline 21. Shrub Fen (Treed Swamp) - Fens dominated by shrubby species. 22. Treed Bog - Peat-covered or peat-filled depressions with a high water table and a surface carpet of moss, chiefly sphagnum. The bogs have 25% or more canopy by trees greater than one metre tall. The primary species is black spruce. 23. Open Bog - Peat-covered or peat-filled depressions with a high water table and a surface carpet of moss, chiefly sphagnum. 24. Farmstead - Farmstead types, towns, cities, Exposed areas with little or no vegetation or Cloud coverage. 25. Slopes - Steep Valley slopes or hill slopes where aspect and slope prohibit classification.26. Slopes - Steep Valley slopes or hill slopes where aspect and slope prohibit classification.
  13. G

    Southern Digital Landcover

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html
    Updated Feb 5, 2025
    + more versions
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    Government of Saskatchewan (2025). Southern Digital Landcover [Dataset]. https://open.canada.ca/data/dataset/005c6b86-bd92-0d6c-47be-d4232f2a5415
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Government of Saskatchewan
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Landcover dataset created for the agricultural portion of Saskatchewan. Download: here A satellite imagery classification of Southern Saskatchewan based mainly on 1994 Landsat5 imagery. Developed by the Saskatchewan Research Council after 1997. Background: A group of Provincial and Federal Agencies formed a partnership in March of 1997 to share the cost of obtaining satellite imagery and interpreting this imagery to create a landcover dataset for the agricultural portion of Saskatchewan. The partnership included Saskatchewan Research Council (SRC), Saskatchewan Agriculture and Food (SAF), Saskatchewan Crop Insurance (SCI), Saskatchewan Property Management Corporation (SPMC), Environment Canada, the Prairie Farm Rehabilitation Administration (PFRA) and Saskatchewan Environment Resource Management (SERM). The University of Regina was also involved as an 'in kind' partner providing research services in the area of land cover classifications, accuracy assessment and data conversions. The Partnership Agreement required SRC (partner doing the bulk of data processing) to provide digital files for each of 328 1:50,000 NTS map sheets. The digital files included not only raw imagery, but also one file for each map sheet where the imagery was classified into 24 landcover types. The accuracy of this classification was to be demonstrated by SRC to be at least 90 per cent correct. In addition to the data processing done by SRC, SPMC provided the necessary positional control data (road intersection coordinates) and verified the positional accuracy of the final product. The other partners provided feedback to SRC on classification errors, which improved the overall accuracy of the final product. Classification Value No Data 0 Crop Land 1 Hay Crops (Forage) 2 Native Dominant Grass Lands 3 Tall Shrubs 4 Pasture (Seeded Grass Lands) 5 Hardwoods (Open Canopy) 6 Hardwoods (Closed Canopy) 7 Jack Pine (Closed Canopy) 8 Jack Pine (Open Canopy) 9 Spruce (Close Canopy) 10 Treed Rock 13 Recent Burns 14 Revegetating Burns 15 Cutovers 16 Water Bodies 17 Marsh 18 Herbaceous Fen 19 Mud/Sand/Saline 20 Shrub Fen (Treed Swamp) 21 Treed Bog 22 Open Bog 23 Slopes 25 Slopes 26 0. No Data 1. Crop Land - All lands dedicated to the production of annual cereal, oil seed and other specialty crops, and typically cultivated on an annual basis. 2. Hay Crops (Forage) - Alfalfa and alfalfa/tame grass mixtures. 3. Native Dominant Grass Lands - Native dominant grasslands/may contain tame grasses and herbs. 4. Tall Shrubs - Communities containing both low and tall shrub, snowberry, saskatoon, chokecherry, buffaloberry, and willow. 5. Pasture (Seeded Grass Lands) - Grassland dominated by tame grass species. 6. Hardwoods (Open Canopy) - Corresponds to Provincial Forest Inventory: over 75% hardwoods; 10-30% crown closure. 7. Hardwoods (Closed Canopy) - Corresponds to Provincial Forest Inventory: over 75% hardwoods; 30-100% crown closure. 8. Jack Pine (Closed Canopy) - Similar to Provincial Forest Inventory: 75% or greater Jack Pine; 30-100% crown closure. 9. Jack Pine (Open Canopy) - Similar to Provincial Forest Inventory: 75% or greater Jack Pine; 10-30% crown closure. 10. Spruce (Close Canopy) - Similar to Provincial Forest Inventory: 75% or greater Black and White Spruce; 10-30% crown closure. 11. Spruce: Open Canopy - Similar to Provincial Forest Inventory: 75% or greater Black and White Spruce; 10-30% crown closure. 12. Mixed Woods - All softwood/hardwood mixtures. 13. Treed Rock - Areas of exposed bedrock with generally less then 10% tree cover. Dominant species are Jack Pine and Black Spruce. 14. Recent Burns - All areas that have been recently burned over by wildfires. 15. Revegetating Burns - Burns with a regrowth of commercial timber generally 1-5 metres in height. 16. Cutovers - Areas where commercial timber has been completely or partially removed by logging operations. 17. Water Bodies - Consists of all open water - lakes, rivers, streams, ponds, and lagoons. 18. Marsh - Dominated by sedge and wetland grasses. 19. Herbaceous Fen - Fens dominated by herbaceous species. 20. Mud/Sand/Saline 21. Shrub Fen (Treed Swamp) - Fens dominated by shrubby species. 22. Treed Bog - Peat-covered or peat-filled depressions with a high water table and a surface carpet of moss, chiefly sphagnum. The bogs have 25% or more canopy by trees greater than one metre tall. The primary species is black spruce. 23. Open Bog - Peat-covered or peat-filled depressions with a high water table and a surface carpet of moss, chiefly sphagnum. 24. Farmstead - Farmstead types, towns, cities, Exposed areas with little or no vegetation or Cloud coverage. 25. Slopes - Steep Valley slopes or hill slopes where aspect and slope prohibit classification. 26. Slopes - Steep Valley slopes or hill slopes where aspect and slope prohibit classification.

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Agriculture and Agri-Food Canada (2024). Annual Crop Inventory [Dataset]. https://open.canada.ca/data/en/dataset/ba2645d5-4458-414d-b196-6303ac06c1c9
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Annual Crop Inventory

Explore at:
146 scholarly articles cite this dataset (View in Google Scholar)
esri rest, wms, geotif, pdf, html, csvAvailable download formats
Dataset updated
Jun 17, 2024
Dataset provided by
Agriculture and Agri Food Canadahttps://agriculture.canada.ca/
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Description

Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).

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