deafrica-crop-extent.yaml

Name: Digital Earth Africa Cropland Extent Map (2019)
Description: |
  Digital Earth Africa's cropland extent map (2019) shows the estimated location of croplands in Africa for the period January to December 2019. Cropland is defined as: "a piece of land of minimum 0.01 ha (a single 10m x 10m pixel) that is sowed/planted and harvest-able at least once within the 12 months after the sowing/planting date." This definition will exclude non-planted grazing lands and perennial crops which can be difficult for satellite imagery to differentiate from natural vegetation. 
  This provisional cropland extent map has a resolution of 10m, and was built using Copernicus Sentinel-2 satellite images from 2019. The cropland extent map was produced using extensive training data from regions across Africa, coupled with a Random Forest machine learning model. The continental service contains maps built separately for eight Agro-Ecological Zones (AEZs). For a detailed exploration of the methods used to produce the cropland extent map, read the Jupyter Notebooks in DE Africa’s crop-mask GitHub repository.
Documentation: https://docs.digitalearthafrica.org/en/latest/data_specs/Cropland_extent_specs.html
Contact: helpdesk@digitalearthafrica.org
ManagedBy: "[Digital Earth Africa](https://www.digitalearthafrica.org/)"
UpdateFrequency: To be defined.
Collabs:
  ASDI:
    Tags:
      - satellite imagery
Tags:
  - aws-pds
  - agriculture
  - earth observation
  - food security
  - geospatial
  - satellite imagery
  - sustainability
  - deafrica
  - stac
  - cog
License: |
  DE Africa makes this data available under the Creative Commons Attribute 4.0 license https://creativecommons.org/licenses/by/4.0/.
Resources:
  - Description: Cropland extent map 2019
    ARN: arn:aws:s3:::deafrica-services/crop_mask
    Region: af-south-1
    Type: S3 Bucket
    RequesterPays: False
    Explore:
    - '[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/crop_mask)'
  - Description: "[S3 Inventory](https://docs.aws.amazon.com/AmazonS3/latest/dev/storage-inventory.html#storage-inventory-contents)"
    ARN: arn:aws:s3:::deafrica-services-inventory
    Region: af-south-1
    Type: S3 Bucket
  - Description: Bucket creation event notification, can subscribe with [Lambda](https://aws.amazon.com/lambda/) or [SQS](https://aws.amazon.com/sqs/). Message sent by the s3 bucket for all object create events.
    ARN: arn:aws:sns:af-south-1:543785577597:deafrica-services-topic
    Region: af-south-1
    Type: SNS Topic
DataAtWork:
  Tutorials:
    - Title: Digital Earth Africa Training
      URL: http://learn.digitalearthafrica.org/
      AuthorName: Digital Earth Africa Contributors
  Tools & Applications:
    - Title: "Digital Earth Africa Explorer (Cropland Extent Map)"
      URL: https://explorer.digitalearth.africa/products/crop_mask
      AuthorName: Digital Earth Africa Contributors
    - Title: "Digital Earth Africa web services"
      URL: https://ows.digitalearth.africa
      AuthorName: Digital Earth Africa Contributors
    - Title: "Digital Earth Africa Map"
      URL: https://maps.digitalearth.africa/
      AuthorName: Digital Earth Africa Contributors
    - Title: "Digital Earth Africa Sandbox"
      URL: https://sandbox.digitalearth.africa/
      AuthorName: Digital Earth Africa Contributors
    - Title: "Digital Earth Africa Notebook Repo"
      URL: https://github.com/digitalearthafrica/deafrica-sandbox-notebooks
      AuthorName: Digital Earth Africa Contributors
    - Title: "Digital Earth Africa Geoportal"
      URL: https://www.africageoportal.com/pages/digital-earth-africa
      AuthorName: Digital Earth Africa Contributors
  Publications:
    - Title: "Cropland Extent is now available for the entire African continent"
      URL: https://www.digitalearthafrica.org/media-center/blog/cropland-extent-now-available-entire-african-continent
      AuthorName: Digital Earth Africa Contributors
    - Title: "Co-Production of a 10-m Cropland Extent Map for Continental Africa using Sentinel-2, Cloud Computing, and the Open-Data-Cube"
      URL: https://agu2021fallmeeting-agu.ipostersessions.com/Default.aspx?s=BA-E4-89-84-15-50-25-89-AE-A8-EF-C5-32-7D-19-EE
      AuthorName: Chad Burton, Fang Yuan, Chong Ee-Faye, Meghan Halabisky, David Ongo, Fatou Mar, Victor Addabor, Bako Mamane and Sena Adimou