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Related Experiment Video

Updated: Jan 8, 2026

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Reconstructing Late Quaternary coastal landscapes by a machine-learning framework.

Gaia Mattei1, Alessia Sorrentino2, Gerardo Pappone1

  • 1Department of Science and Technology, University of Naples Parthenope, Naples, Italy.

Scientific Reports
|December 17, 2025
PubMed
Summary
This summary is machine-generated.

Machine learning accurately maps ancient sea cliffs and coastal features, revealing past climate-landscape interactions. This automated approach aids in understanding Quaternary coastal evolution and assessing future climate-related hazards.

Keywords:
Automated mappingCoastal changeCoastal landformsCoastal paleo-landscapeMediterranean areaSea level change

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Area of Science:

  • Geomorphology
  • Machine Learning
  • Paleoclimatology

Background:

  • Coastal landforms like sea cliffs provide crucial data on sea-level changes, tectonics, and paleoclimate.
  • Understanding Quaternary coastal evolution is vital for reconstructing past environmental conditions.

Purpose of the Study:

  • To apply a supervised machine learning model for detecting and classifying inherited and active coastal features.
  • To reconstruct coastal morphogenesis using geomorphological data and sea-level markers.

Main Methods:

  • A RandomForestClassifier was trained on an expert-labeled geomorphological dataset.
  • Digital Terrain Models (DTM) and morphometric indicators were utilized.
  • The model's accuracy was validated against independent geomorphological mapping and sea-level data.

Main Results:

  • The machine learning model accurately identified spatial signatures of Quaternary coastal evolution.
  • The study successfully detected paleo-sea cliffs and polycyclic sea cliffs.
  • Coastal morphogenesis was reconstructed in relation to the last interglacial cycle.

Conclusions:

  • Machine learning can automate the identification of coastal paleo-landscapes.
  • This approach provides insights into climate-landscape interactions and their morphological imprints.
  • The framework supports future coastal hazard assessments under changing climate conditions.