brazil-data-cubes.yaml

Name: Earth Observation Data Cubes for Brazil
Description: "Earth observation (EO) data cubes produced from analysis-ready data (ARD) of CBERS-4, Sentinel-2 A/B and Landsat-8 satellite images for Brazil. The datacubes are regular in time and use a hierarchical tiling system. Further details are described in [Ferreira et al. (2020)](https://www.mdpi.com/2072-4292/12/24/4033)."
Documentation: http://brazildatacube.org/en/home-page-2/
Contact: brazildatacube@inpe.br
ManagedBy: "[INPE - Brazil Data Cube](http://brazildatacube.org/)"
UpdateFrequency: New EO data cubes are added as soon as there are produced by the Brazil Data Cube project.
Tags:
  - earth observation
  - satellite imagery
  - geoscience
  - geospatial
  - image processing
  - open source software
  - cog
  - stac
  - aws-pds
License:  |
  The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 and Sentinel-2 satellites. Data usage is subject to Terms and Conditions for the use and distribution of [Landsat data](https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con), Legal Notice on the use and distribution of [Sentinel-2 data](https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice/) and License for use and distribution of [CBERS data](https://creativecommons.org/licenses/by-sa/3.0/). When using data produced by the Brazil Data Cube, please acknowledge the work of the Brazilian National Institute for Space Research (INPE) in producing such data.
  CBERS-4 image courtesy of the National Institute for Space Research (INPE).
  Landsat-8 image courtesy of the U.S. Geological Survey.
  Sentinel-2 (ESA) image courtesy of the Copernicus SciHub.
  Sentinel-2 Cloud-Optimized GeoTIFFs data 2017-2018, was accessed on June/2021 from https://registry.opendata.aws/sentinel-2-l2a-cogs.
Resources:
  - Description: Earth Observation Data Cubes for Brazil - Sentinel 2A/2B
    ARN: arn:aws:s3:::bdc-sentinel-2
    Region: us-west-2
    Type: S3 Bucket
    RequesterPays: False
    Explore:
    - '[BDC STAC V0.9.0 endpoint](https://bdc-sentinel-2.s3.us-west-2.amazonaws.com/catalog.json)'
  - Description: Earth Observation Data Cubes for Brazil - CBERS 4
    ARN: arn:aws:s3:::bdc-cbers
    Region: us-west-2
    Type: S3 Bucket
    RequesterPays: False
    Explore:
    - '[BDC STAC V0.9.0 endpoint](https://bdc-cbers.s3.us-west-2.amazonaws.com/catalog.json)'
  - Description: Notifications for new EO Data Cubes Sentinel-2 scenes
    ARN: arn:aws:sns:us-west-2:896627514407:bdc-sentinel-2-object_created
    Region: us-west-2
    Type: SNS Topic
  - Description: Notifications for new EO Data Cubes CBERS scenes
    ARN: arn:aws:sns:us-west-2:896627514407:bdc-cbers-object_created
    Region: us-west-2
    Type: SNS Topic
DataAtWork:
  Tutorials:
    - Title: Using Python to Access Image Collections Data (Jupyter notebook)
      URL: https://github.com/brazil-data-cube/code-gallery/blob/master/jupyter/Python/stac/stac-aws-introduction.ipynb
      AuthorName: Brazil Data Cube
      AuthorURL: https://brazil-data-cube.github.io/
    - Title: Tile Map Service to view Image Collections from Brazil Data Cube Catalog
      URL: https://github.com/brazil-data-cube/code-gallery/blob/master/jupyter/Python/tiler/bdc-tiler_introduction.ipynb
      AuthorName: Brazil Data Cube
      AuthorURL: https://brazil-data-cube.github.io
  Tools & Applications:
    - Title: rstac - R library to query and download Image Collections from Brazil Data Cube Catalog on Amazon S3
      URL: https://github.com/brazil-data-cube/rstac
      AuthorName: Brazil Data Cube
      AuthorURL: https://brazil-data-cube.github.io
    - Title: cube-builder-aws - Application to generate data cubes on AWS environment.
      URL: https://github.com/brazil-data-cube/cube-builder-aws
      AuthorName: Brazil Data Cube
      AuthorURL: https://brazil-data-cube.github.io
  Publications:
    - Title: "Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products."
      URL: https://www.mdpi.com/2072-4292/12/24/4033
      AuthorName: K. R. Ferreira, et al.
    - Title: Using Remote Sensing Images and Cloud Services on AWS to Improve Land Use and Cover Monitoring
      URL: https://ieeexplore.ieee.org/abstract/document/9165649
      AuthorName: K. R. Ferreira, et al.
    - Title: Building Earth Observation Data Cubes on AWS
      URL: https://www.proquest.com/openview/070d2a753cc88d26535c98293171a5ac/1?
      AuthorName: Ferreira, K R; Queiroz, G R; Marujo, R F B; Costa, R W.