black_marble_combustion.yaml

Name: Nighttime-Fire-Flare
Description: Detection of nighttime combustion (fire and gas flaring) from daily top of atmosphere data from NASA's Black Marble VNP46A1 product using VIIRS Day/Night Band and VIIRS thermal bands.
Documentation: https://docs.google.com/document/d/e/2PACX-1vSeDj3BbmvKCrFY3aimZ7-0eMhEN0OFIFk1JDTv3Fvfe4BjfFTwuS8OSMuSGa5vDs2fQKjlrJN8Ut2X/pub
Contact: schakraborty@usra.edu
ManagedBy: "[USRA](https://srijachakraborty.com/) and [NASA Black Marble](https://blackmarble.gsfc.nasa.gov/)"
UpdateFrequency: New combustion detections are added whenever it is available and with model updates.
Tags:
  - aws-pds
  - anomaly detection
  - classification
  - earth observation
  - satellite imagery
  - disaster response
  - socioeconomic
  - environmental
  - urban
  - NASA SMD AI
License: There are no restrictions on the use of this data.
Resources: 
  - Description: NASA Black Marble Combustion Detections, Earth Science Training Data
    ARN: arn:aws:s3:::us-west-2.opendata.source.coop/vnp46a1_thermal_anomaly/
    Region: us-west-2
    Type: S3 Bucket
    Explore:
DataAtWork:
  Publications:
  - Title: NASA SMD AI Workshop Report
    URL: https://science.nasa.gov/files/atoms/files/NASA%20SMD%20AI%20Workshop%2021%20(spreads)%20(1).pdf
    AuthorName: SMD Artificial Intelligence Machine Learning (AI/ML) Working Group
  - Title: Potentially underestimated gas flaring activities—a new approach to detect combustion using machine learning and NASA's Black Marble product suite
    URL: https://doi.org/10.1088/1748-9326/acb6a7
    AuthorName: Srija Chakraborty, Tomohiro Oda, Virginia Kalb, Zhuosen Wang, Miguel O Román