Enabling coastal analytics at planetary scale

Floris Reinier Calkoen*, Arjen Pieter Luijendijk, Kilian Vos, Etiënne Kras, Fedor Baart

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Coastal science has entered a new era of data-driven research, facilitated by satellite data and cloud computing. Despite its potential, the coastal community has yet to fully capitalize on these advancements due to a lack of tailored data, tools, and models. This paper demonstrates how cloud technology can advance coastal analytics at scale. We introduce GCTS, a novel foundational dataset comprising over 11 million coastal transects at 100-m resolution. Our experiments highlight the importance of cloud-optimized data formats, geospatial sorting, and metadata-driven data retrieval. By leveraging cloud technology, we achieve up to 700 times faster performance for tasks like coastal waterline mapping. A case study reveals that 33% of the world’s first kilometer of coast is below 5 m, with the entire analysis completed in a few hours. Our findings make a compelling case for the coastal community to start producing data, tools, and models suitable for scalable coastal analytics.
Original languageEnglish
Article number106257
Number of pages12
JournalEnvironmental Modelling and Software
Volume183
DOIs
Publication statusPublished - 2024

Keywords

  • Cloud technology
  • Coastal analytics
  • Coastal change
  • Coastal monitoring
  • Data management
  • Low elevation coastal zone
  • Satellite-derived shorelines

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