CITATION.cff

cff-version: 1.2.0
message: "If you use this cookbook, please cite it as below."
authors:
  # add additional entries for each author -- see https://github.com/citation-file-format/citation-file-format/blob/main/schema-guide.md
  - family-names: Wagner
    given-names: Wolfgang
    orcid: https://orcid.org/0000-0001-7704-6857
    website: https://www.tuwien.at/mg/dekanat/mitarbeiter-innen
    affiliation: Technische Universität Wien, Vienna, Austria, EODC Earth Observation Data Centre for Water Resources Monitoring, Austria
  - family-names: Schobben
    given-names: Martin
    orcid: https://orcid.org/0000-0001-8560-0037
    website: https://github.com/martinschobben
    affiliation: Technische Universität Wien, Vienna, Austria
  - family-names: Pikall
    given-names: Nikolas
    website: https://github.com/npikall
    affiliation: Technische Universität Wien, Vienna, Austria
  - family-names: Wagner
    given-names: Joseph
    affiliation: Technische Universität Wien, Vienna, Austria
  - family-names: Festa
    given-names: Davide
    affiliation: Technische Universität Wien, Vienna, Austria
  - family-names: Reuß
    given-names: Felix David
    affiliation: Technische Universität Wien, Vienna, Austria
  - family-names: Jovic
    given-names: Luka
    affiliation: Technische Universität Wien, Vienna, Austria
  - name: "Earth Observation Datascience contributors" # use the 'name' field to acknowledge organizations
    website: "https://github.com/TUW-GEO/eo-datascience-cookbook/graphs/contributors"
title: "Earth Observation Datascience Cookbook"
abstract: "Earth Observation Datascience Cookbook provides training material \
centered around Earth Observation data while honoring the Pangeo Philosophy. \
The examples used in the notebooks represent some of the main research lines \
of the Remote Sensing Unit at the Department of Geodesy and Geoinformation at \
the TU Wien (Austria). In addition, the content familiarizes the reader with \
the data available at the EODC (Earth Observation Data Centre For Water \
Resources Monitoring) as well as the computational resources to process
large amounts of data."