CITATION.cff

cff-version: 1.2.0
title: "Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book"
message: "If you use this software, please cite it using the metadata from this file."
type: software
authors:
  - family-names: Mifdal
    given-names: Jamila
    website: https://github.com/jmifdal
    affiliation: European Space Agency Φ-lab
  - family-names: Carmo
    given-names: Raquel
    website: https://github.com/raquelcarmo
    affiliation: European Space Agency Φ-lab
  - name: "This EDS book notebook contributors"
    website: "https://github.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9/graphs/contributors"
version: v1.1.2 # This is automatically set using the bumpversion tool.
identifiers:
  - type: doi
    value: 10.5281/zenodo.8308843
    description: The concept DOI for the collection containing all versions of the notebook.
abstract: "Notebook developed to demonstrate the use of deep neural networks for the detection of floating objects on Sentinel-2 data."
references:
  - authors:
      - family-names: Mifdal
        given-names: Jamila
      - family-names: Haynes
        given-names: Longepe
      - family-names: Rußwurm
        given-names: Marc
    doi: 10.5194/isprs-annals-V-3-2021-285-2021
    type: proceedings
    scope: "Related paper describing the model."
    title: "Towards detecting floating objects on a global scale with learned spatial features using sentinel 2"
    booktitle: "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences"
    year: 2021
keywords:
  - Environmental Data Science
  - Oceanography
  - Modelling
  - Deep learning