TY - JOUR
T1 - Enabling coastal analytics at planetary scale
AU - Calkoen, Floris Reinier
AU - Luijendijk, Arjen Pieter
AU - Vos, Kilian
AU - Kras, Etiënne
AU - Baart, Fedor
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Cloud technology
KW - Coastal analytics
KW - Coastal change
KW - Coastal monitoring
KW - Data management
KW - Low elevation coastal zone
KW - Satellite-derived shorelines
UR - http://www.scopus.com/inward/record.url?scp=85209400601&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2024.106257
DO - 10.1016/j.envsoft.2024.106257
M3 - Article
AN - SCOPUS:85209400601
SN - 1364-8152
VL - 183
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 106257
ER -