Articles | Volume 8, issue 3
https://doi.org/10.5194/esurf-8-809-2020
https://doi.org/10.5194/esurf-8-809-2020
Research article
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25 Sep 2020
Research article | Highlight paper |  | 25 Sep 2020

Dominant process zones in a mixed fluvial–tidal delta are morphologically distinct

Mariela Perignon, Jordan Adams, Irina Overeem, and Paola Passalacqua

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Latest update: 29 Jun 2024
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Short summary
We propose a machine learning approach for the classification and analysis of large delta systems. The approach uses remotely sensed data, channel network extraction, and the analysis of 10 metrics to identify clusters of islands with similar characteristics. The 12 clusters are grouped in six main classes related to morphological processes acting on the system. The approach allows us to identify spatial patterns in large river deltas to inform modeling and the collection of field observations.