Topic Editors

Department of Geography, Universitat de València, Avda. Blasco Ibáñez, 28, 46010 Valencia, Spain
Dr. Jesus Palomar-Vazquez
Department of Cartographic Engineering, Geodesy and Photográmmetry, Unversitat Politècnica de València, 46022 Valencia, Spain
Dr. Lluis Gomez-Pujol
Earth Sciences Research Group, Department of Biology, University of the Balearic Islands, 07122 Palma, Illes Balears, Spain

Recent Advances in Iberian Coastal Geomorphology

Abstract submission deadline
30 June 2026
Manuscript submission deadline
30 September 2026
Viewed by
1315

Topic Information

Dear Colleagues,

We are pleased to announce a new Topic titled “Recent Advances in Iberian Coastal Geomorphology”, with papers from different scientific fields related to coastal geomorphology in the Iberian region. The characterisation of coastal forms as beaches, cliffs, dunes, and nearshore spaces constitutes a topic garnering great attention considering their great environmental and social interest. The risks caused by climate change, the anthropic pressure derived from growing tourism, the occupation of coastal territories, and the adverse effects of increasingly frequent and energetic coastal storms make the Iberian region an area with an especially sensitive coastline. It is therefore necessary to understand how these phenomena affect coastline forms and processes and how this knowledge can help us reduce these adverse effects and better manage and conserve the valuable resource that is our coast The aim of this collection is to highlight the contribution of recent techniques, methods, and applications in remote sensing, marine science and engineering, and geosciences to the study of coastal geomorphology. The topics include, but not are limited to:

  • Remote sensing applications in coastal zones, methodologies, and algorithms: evolution and change studies, detection of coastal landforms and processes, shoreline extraction satellite bathymetry, three-dimensional measurements, classification methods, etc;
  • Coastal engineering solutions, dune evolution and management, marine environment, sediment and beach dynamics, coastal management, etc;
  • Studies in hydrology, palaeontology, landform processes, etc;
  • Drone applications in coastal geomorphology studies, monitoring change detection, marine science, etc;
  • Cartographic applications.

Dr. Carlos Cabezas Rabadán
Dr. Jesus Palomar-Vazquez
Dr. Lluis Gomez-Pujol
Topic Editors

Keywords

  • beach dynamics
  • dune dynamics
  • coastal evolution studies
  • coastal geomorphology
  • remote sensing in coastal applications
  • coastal management
  • climate change
  • sedimentology

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Drones
drones
4.8 7.4 2017 20.1 Days CHF 2600 Submit
Geosciences
geosciences
2.1 5.1 2011 23.4 Days CHF 1800 Submit
Journal of Marine Science and Engineering
jmse
2.8 5.0 2013 15.6 Days CHF 2600 Submit
Remote Sensing
remotesensing
4.1 8.6 2009 24.9 Days CHF 2700 Submit

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Published Papers (1 paper)

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36 pages, 17317 KB  
Article
Spectral Unmixing of Coastal Dune Plant Species from Very High Resolution Satellite Imagery
by Katerina Kombiadou, Susana Costas, Juan Bautista Gallego-Fernández, Zhicheng Yang, Luisa Bon de Sousa and Sonia Silvestri
Remote Sens. 2025, 17(24), 3991; https://doi.org/10.3390/rs17243991 - 10 Dec 2025
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Abstract
While improvements in the spectral and spatial resolution of satellite imagery have opened up new prospects for large-scale environmental monitoring, this potential has remained largely unrealised in dune ecogeomorphology. This is especially true for Mediterranean coastal dunes, where the highly mixed and sparse [...] Read more.
While improvements in the spectral and spatial resolution of satellite imagery have opened up new prospects for large-scale environmental monitoring, this potential has remained largely unrealised in dune ecogeomorphology. This is especially true for Mediterranean coastal dunes, where the highly mixed and sparse vegetation requires high resolution satellites and spectral unmixing techniques. To achieve this aim, we employed random forest regressors to predict the fractional cover of dune plant species in two of the sandy barriers of Ria Formosa (S. Portugal) from WorldView-2 imagery (June 2024). The algorithm, tested with spatially upscaled multispectral drone data and satellite imagery, detected the fractional cover of major species (most abundant classes and bushy vegetation) with reasonable to very good accuracy (coefficient of determination, CoD: 0.4 to 0.8) for the former and reasonable to good accuracy (CoD: 0.4 to 0.6) for the latter. Additional tests showed that (a) including the distance to the shoreline can increase model accuracy (CoD by ~0.1); (b) the grouping of species resulted in an insignificant increase in model skill; and (c) testing over independent dune plots showed generalisation beyond the training set and low risk of overfitting or noise. Overall, the approach showed promising results for large-scale observations in highly mixed coastal dunes. Full article
(This article belongs to the Topic Recent Advances in Iberian Coastal Geomorphology)
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