Sentinel-2 Cloud-Optimized GeoTIFFs

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/sentinel-2-l2a-cogs-dataset")

fs.listdir("s3://sentinel-cogs")

Description:

The Sentinel-2 mission is a land monitoring constellation of two satellites that provide high resolution optical imagery and provide continuity for the current SPOT and Landsat missions. The mission provides a global coverage of the Earth's land surface every 5 days, making the data of great use in ongoing studies. This dataset is the same as the Sentinel-2 dataset, except the JP2K files were converted into Cloud-Optimized GeoTIFFs (COGs). Additionally, SpatioTemporal Asset Catalog metadata has were in a JSON file alongside the data, and a STAC API called Earth-search is freely available to search the archive. This dataset contains all of the scenes in the original Sentinel-2 Public Dataset and will grow as that does. L2A data are available from April 2017 over wider Europe region and globally since December 2018.

Contact:

The Sentinel-2 mission is a land monitoring constellation of two satellites that provide high resolution optical imagery and provide continuity for the current SPOT and Landsat missions. The mission provides a global coverage of the Earth's land surface every 5 days, making the data of great use in ongoing studies. This dataset is the same as the Sentinel-2 dataset, except the JP2K files were converted into Cloud-Optimized GeoTIFFs (COGs). Additionally, SpatioTemporal Asset Catalog metadata has were in a JSON file alongside the data, and a STAC API called Earth-search is freely available to search the archive. This dataset contains all of the scenes in the original Sentinel-2 Public Dataset and will grow as that does. L2A data are available from April 2017 over wider Europe region and globally since December 2018.

Update Frequency:

New Sentinel data are added regularly, usually within few hours after they are available on Copernicus OpenHub.

Managed By:

https://www.element84.com/

Collabs:

• ASDI:
  • Tags: satellite imagery

Resources:

1. resource:

   • Description: Level 2A scenes and metadata
   • ARN: arn:aws:s3:::sentinel-cogs
   • Region: us-west-2
   • Type: S3 Bucket
   • RequesterPays: False
   • Explore: Earth Search STAC L2A Collection, STAC Browser L2A Collection

2. resource:

   • Description: S3 Inventory files for L1C (ORC and CSV)
   • ARN: arn:aws:s3:::sentinel-cogs-inventory
   • Region: us-west-2
   • Type: S3 Bucket

3. resource:

   • Description: New scene notifications, can subscribe with Lambda or SQS. Message contains entire STAC record for each new Item.
   • ARN: arn:aws:sns:us-west-2:608149789419:cirrus-v0-publish
   • Region: us-west-2
   • Type: SNS Topic

Tags:

aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, sustainability, disaster response, cog, stac

Tutorials:

1. tutorial:

   • Title: How to Work with Landsat and Sentinel-2 on AWS with Python
   • URL: https://www.matecdev.com/posts/landsat-sentinel-aws-s3-python.html
   • AuthorName: Martin D. Maas

2. tutorial:

   • Title: Intake-STAC with sat-search
   • URL: https://github.com/intake/intake-stac/blob/master/examples/aws-earth-search.ipynb
   • AuthorName: Scott Henderson

3. tutorial:

   • Title: Create a Dynamic Tiler with TiTiler
   • URL: https://github.com/developmentseed/titiler/blob/master/docs/examples/notebooks/Create_CustomSentinel2Tiler.ipynb
   • AuthorName: Vincent Sarago

4. tutorial:

   • Title: Use Sentinel-2 data in the Open Data Cube
   • URL: https://github.com/opendatacube/cube-in-a-box
   • AuthorName: Alex Leith

5. tutorial:

   • Title: STAC, COG, Python and QGIS
   • URL: http://www.acgeospatial.co.uk/stac-cog-python-and-qgis/
   • AuthorName: Andrew Cutts

6. tutorial:

   • Title: How to process Sentinel-2 data in a serverless Lambda on AWS?
   • URL: https://www.linkedin.com/pulse/how-sunny-my-city-better-process-stac-sentinel2-lambda-alvaro-huarte
   • AuthorName: Alvaro Huarte
   • Services: Lambda, SNS

7. tutorial:

   • Title: Transforming Geospatial Data to Cloud-Native Frameworks with Element 84 on AWS
   • URL: https://aws.amazon.com/blogs/apn/transforming-geospatial-data-to-cloud-native-frameworks-with-element-84-on-aws/
   • AuthorName: Matt Hanson, Imtranur Rahman, Mary-Elizabeth Morin, and Ariel Walcutt
   • Services: EKS, SageMaker, S3

8. tutorial:

   • Title: Access satellite imagery using Python
   • URL: https://carpentries-incubator.github.io/geospatial-python/05-access-data/
   • AuthorName: The Carpentries

Tools & Applications:

1. tools & applications:

   • Title: Fire detection Twitter bot using satellite imagery
   • URL: https://twitter.com/FirewatchBot
   • AuthorName: Firewatch

2. tools & applications:

   • Title: SpatioTemporal Asset Catalogs
   • URL: https://stacindex.org/
   • AuthorName: STAC Contriubutors

3. tools & applications:

   • Title: Sat-search
   • URL: https://github.com/sat-utils/sat-search
   • AuthorName: Matthew Hanson

4. tools & applications:

   • Title: rio-tiler-pds
   • URL: https://github.com/cogeotiff/rio-tiler-pds
   • AuthorName: Vincent Sarago, et al.

5. tools & applications:

   • Title: SITS - Satellite Image Time Series Analysis for Earth Observation Data Cubes
   • URL: https://github.com/e-sensing/sits
   • AuthorName: e-Sensing
   • AuthorURL: http://www.esensing.org/

6. tools & applications:

   • Title: FilmDrop Demo
   • URL: https://console.demo.filmdrop.io/
   • AuthorName: Element 84

Publication:

1. publication:

   • Title: STAC and Sentinel-2 COGs (ESIP Summer Meeting 2020)
   • URL: https://docs.google.com/presentation/d/14NsKFZ3UF2Swwx_9L7sPMX9ccFUK1ruQyZXWK9Cz4L4/edit?usp=sharing
   • AuthorName: Matthew Hanson

2. publication:

   • Title: OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery
   • URL: https://openaccess.thecvf.com/content/CVPR2022W/EarthVision/papers/Johnson_OpenSentinelMap_A_Large-Scale_Land_Use_Dataset_Using_OpenStreetMap_and_Sentinel-2_CVPRW_2022_paper.pdf
   • AuthorName: Noah Johnson, Wayne Treible, Daniel Crispell