TerraceM-3: Marine terrace mapping using machine learning and satellite altimetry (v.3.2)

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Autori principali: Jara Muñoz, Julius, Mey, Jürgen, Freisleben, Roland, Melnick, Daniel, Markus, Weiss, Winckler, Patricio, Mavoungou, Chrystelle, Strecker, Manfred
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2026
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author Jara Muñoz, Julius
Mey, Jürgen
Freisleben, Roland
Melnick, Daniel
Markus, Weiss
Winckler, Patricio
Mavoungou, Chrystelle
Strecker, Manfred
author_facet Jara Muñoz, Julius
Mey, Jürgen
Freisleben, Roland
Melnick, Daniel
Markus, Weiss
Winckler, Patricio
Mavoungou, Chrystelle
Strecker, Manfred
contents <p>Marine terraces record past sea levels and serve as strain markers to quantify vertical deformation from tectonic and climatic processes. Accurate mapping of these ephemeral features is essential but often limited by data quality and operator subjectivity. TerraceM-3 reduces both non-systematic and systematic mapping errors by integrating machine learning that replicates expert interpretation within standardized workflows. A new TerraceM-ICESat module enables global, vegetation-free, high-resolution mapping using ICESat-2 altimetry, including shallow offshore bathymetry. Tested in Peru and Algeria, TerraceM-3 reveals detailed coastal deformation patterns and advances research in tectonic geomorphology and coastal hazard assessment.</p> <p>Financial support:</p> <p>This study was supported by TANTA “Earthquakes and coastal deformation in subduction zones at continental scale” grant P2022-13-001 funded by the Carl-Zeiss-Stiftung; the Millennium Nucleus CYCLO “The Seismic Cycle Along Subduction Zones” grant NC160025 funded by the Millennium Scientific Initiative (ICM) of the Chilean Government; the Chilean National Fund for Development of Science and Technology (FONDECYT) grant 1150321; and the German Science Foundation (DFG) grant STR373/41-1.</p> <p> </p> <p><strong>Latest Version TerraceM 3.2</strong></p> <p><strong>Log date: 05.03.2026</strong><br><strong>Author: Prof. Julius Jara, HBC</strong></p> <p><strong>Fixes</strong><br><strong>1) Fix query and download requests for TerraceM ICESat_MAP for different Matlab versions</strong><br><strong>2) Added functionalities to TerraceM BAT</strong><br><strong>3) Fixes for Matlab 2020b - 2026 compatibility</strong></p> <p> </p> <p> </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18882765
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle TerraceM-3: Marine terrace mapping using machine learning and satellite altimetry (v.3.2)
Jara Muñoz, Julius
Mey, Jürgen
Freisleben, Roland
Melnick, Daniel
Markus, Weiss
Winckler, Patricio
Mavoungou, Chrystelle
Strecker, Manfred
Geomorphology
Tectonics
Tectonic geomorphology
Seismotectonics
Marine terraces
TerraceM
<p>Marine terraces record past sea levels and serve as strain markers to quantify vertical deformation from tectonic and climatic processes. Accurate mapping of these ephemeral features is essential but often limited by data quality and operator subjectivity. TerraceM-3 reduces both non-systematic and systematic mapping errors by integrating machine learning that replicates expert interpretation within standardized workflows. A new TerraceM-ICESat module enables global, vegetation-free, high-resolution mapping using ICESat-2 altimetry, including shallow offshore bathymetry. Tested in Peru and Algeria, TerraceM-3 reveals detailed coastal deformation patterns and advances research in tectonic geomorphology and coastal hazard assessment.</p> <p>Financial support:</p> <p>This study was supported by TANTA “Earthquakes and coastal deformation in subduction zones at continental scale” grant P2022-13-001 funded by the Carl-Zeiss-Stiftung; the Millennium Nucleus CYCLO “The Seismic Cycle Along Subduction Zones” grant NC160025 funded by the Millennium Scientific Initiative (ICM) of the Chilean Government; the Chilean National Fund for Development of Science and Technology (FONDECYT) grant 1150321; and the German Science Foundation (DFG) grant STR373/41-1.</p> <p> </p> <p><strong>Latest Version TerraceM 3.2</strong></p> <p><strong>Log date: 05.03.2026</strong><br><strong>Author: Prof. Julius Jara, HBC</strong></p> <p><strong>Fixes</strong><br><strong>1) Fix query and download requests for TerraceM ICESat_MAP for different Matlab versions</strong><br><strong>2) Added functionalities to TerraceM BAT</strong><br><strong>3) Fixes for Matlab 2020b - 2026 compatibility</strong></p> <p> </p> <p> </p>
title TerraceM-3: Marine terrace mapping using machine learning and satellite altimetry (v.3.2)
topic Geomorphology
Tectonics
Tectonic geomorphology
Seismotectonics
Marine terraces
TerraceM
url https://doi.org/10.5281/zenodo.18882765