Articles | Volume 8, issue 3
Earth Surf. Dynam., 8, 809–824, 2020
https://doi.org/10.5194/esurf-8-809-2020
Earth Surf. Dynam., 8, 809–824, 2020
https://doi.org/10.5194/esurf-8-809-2020

Research article 25 Sep 2020

Research article | 25 Sep 2020

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

Mariela Perignon et al.

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AR by Paola Passalacqua on behalf of the Authors (31 Jul 2020)  Author's response    Manuscript
ED: Publish as is (01 Aug 2020) by Daniel Parsons
ED: Publish as is (04 Aug 2020) by Tom Coulthard(Editor)
AR by Paola Passalacqua on behalf of the Authors (05 Aug 2020)  Author's response    Manuscript
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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.