2 datasets found
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    Crop Map of England (CROME) 2016 - North

    • gimi9.com
    • environment.data.gov.uk
    • +1more
    Updated Dec 14, 2024
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    (2024). Crop Map of England (CROME) 2016 - North [Dataset]. https://gimi9.com/dataset/uk_crop-map-of-england-crome-2016-north
    Explore at:
    Dataset updated
    Dec 14, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    England
    Description

    The Crop Map of England (CROME) North is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2016 – August 2016. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. refer to the CROME specification document Attribution statement: © Rural Payments Agency

  2. Crop Map of England (CROME) 2016 - North - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 3, 2025
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    ckan.publishing.service.gov.uk (2025). Crop Map of England (CROME) 2016 - North - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/crop-map-of-england-crome-2016-north
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    England
    Description

    The Crop Map of England (CROME) North is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2016 – August 2016. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. refer to the CROME specification document Attribution statement: © Rural Payments Agency

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2024). Crop Map of England (CROME) 2016 - North [Dataset]. https://gimi9.com/dataset/uk_crop-map-of-england-crome-2016-north

Crop Map of England (CROME) 2016 - North

Explore at:
Dataset updated
Dec 14, 2024
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Area covered
England
Description

The Crop Map of England (CROME) North is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2016 – August 2016. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. refer to the CROME specification document Attribution statement: © Rural Payments Agency

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