Reconstructing Late Quaternary coastal landscapes by a machine-learning framework
Gaia Mattei, Alessia Sorrentino, Gerardo Pappone, Angelo Ciaramella, Pietro P C Aucelli · 2025
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Description
Mattei, Sorrentino, Pappone, Ciaramella, and Aucelli reconstruct late Quaternary coastal landscapes with a machine learning framework, in a study from twenty twenty-five. Sea cliffs and wave-cut platforms record past sea levels and climate. Experts label an original geomorphology data set for training. A random forest learns from terrain and shape indicators.
The model detects inherited and active cliff features accurately. Independent mapping and sea-level data cross-validate the results. Classification combines with sea-level markers to rebuild coastal history. The last interglacial cycle anchors the reconstruction timeline. Automated mapping scales to other coasts and hazard studies.
Catalog record
| CREATOR | Gaia Mattei, Alessia Sorrentino, Gerardo Pappone, Angelo Ciaramella, Pietro P C Aucelli |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |