Earth Observation Data Cubes for Brazil

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/brazil-data-cubes-dataset")

fs.listdir("s3://bdc-sentinel-2")

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).

Contact:

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).

Update Frequency:

New EO data cubes are added as soon as there are produced by the Brazil Data Cube project.

Managed By:

http://brazildatacube.org/

Resources:

1. resource:

   • 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

2. resource:

   • 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

3. resource:

   • 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

4. resource:

   • 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

Tags:

earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds

Tutorials:

1. tutorial:

   • 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/

2. tutorial:

   • 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:

1. 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

2. tools & applications:

   • 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

Publication:

1. publication:

   • 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.

2. publication:

   • 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.

3. publication:

   • 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.