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Remote Sensing
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Remote Sensing Application in Coastal Geomorphology and Processes II
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Remote Sensing Application in Coastal Geomorphology and Processes II

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 2045

Special Issue Editors

Dr. Cristina Ponte Lira

E-Mail Website
Guest Editor
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Interests: coastal processes; coastal monitoring systems; remote sensing; GIS and image processing and analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Ana Nobre Silva

E-Mail Website
Guest Editor
Faculdade de Ciências, Universidade de Lisboadisabled, Lisbon, Portugal
Interests: coastal processes; coastal monitoring; geographic information systems (GIS); modelling; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Coastal zones are characterized by exceptional environmental, social, and economic importance. At the same time, they are particularly vulnerable to climate-related changes. Remote sensing applications have enormous potential to monitor this intrinsically dynamic environment through remote observations and measurements that can provide important insights into coastal condition and coastal evolution at different geomorphologic settings and timescales.

This Special Issue invites scholars in the field to submit high-quality research that makes the most of remote sensing applications (from optical, radar and others) at the coastal zone. Articles should addressing issues that include, but are not limited to:

  • Sediment dynamic processes on deltas, beaches, dunes, and barrier islands;
  • Coastal processes in erosional landscapes as rocky cliffs;
  • Forcing mechanisms of the coastal processes as waves, tides, and currents;
  • Coastal geomorphology;
  • Coastal evolution;
  • Close-range remote sensing applications as plane or UAVs, and onsite cameras or webcams;
  • Contributions of remote sensing to coastal management.

Dr. Cristina Ponte Lira
Dr. Ana Nobre Silva
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geomorphology of the coastal zone
  • coastal hydrodynamics and morphodynamics
  • beach and dune processes
  • oceanographic forcing
  • coastal processes and management
  • remote sensing applications in the coastal zone

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Related Special Issue

Published Papers (2 papers)

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Research

17 pages, 41292 KiB  
Article
A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery
by Richa Dutt, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli and Zhe Jiang
Remote Sens. 2024, 16(14), 2659; https://doi.org/10.3390/rs16142659 - 20 Jul 2024
Viewed by 667
Abstract
Tidal creeks play a vital role in influencing geospatial evolution and marsh ecological communities in coastal landscapes. However, evaluating the geospatial characteristics of numerous creeks across a site and understanding their ecological relationships pose significant challenges due to the labor-intensive nature of manual [...] Read more.
Tidal creeks play a vital role in influencing geospatial evolution and marsh ecological communities in coastal landscapes. However, evaluating the geospatial characteristics of numerous creeks across a site and understanding their ecological relationships pose significant challenges due to the labor-intensive nature of manual delineation from imagery. Traditional methods rely on manual annotation in GIS interfaces, which is slow and tedious. This study explores the application of Attention-based Dense U-Net (ADU-Net), a deep learning image segmentation model, for automatically classifying creek pixels in high-resolution (0.5 m) orthorectified aerial imagery in coastal Georgia, USA. We observed that ADU-Net achieved an outstanding F1 score of 0.98 in identifying creek pixels, demonstrating its ability in tidal creek mapping. The study highlights the potential of deep learning models for automated tidal creek mapping, opening avenues for future investigations into the role of creeks in marshes’ response to environmental changes. Full article
(This article belongs to the Special Issue Remote Sensing Application in Coastal Geomorphology and Processes II)
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20 pages, 7199 KiB  
Article
Short-Term Foredune Dynamics in Response to Invasive Vegetation Control Actions
by Ana Pestana Bastos, Rui Taborda, César Andrade, Cristina Ponte Lira and Ana Nobre Silva
Remote Sens. 2024, 16(9), 1487; https://doi.org/10.3390/rs16091487 - 23 Apr 2024
Viewed by 906
Abstract
Efforts to control the spread of invasive alien species (IAS) in coastal dunes are essential to protect biodiversity and maintain the integrity of the ecosystem. However, the timing and extent of these control measures often do not consider their potential impact on dune [...] Read more.
Efforts to control the spread of invasive alien species (IAS) in coastal dunes are essential to protect biodiversity and maintain the integrity of the ecosystem. However, the timing and extent of these control measures often do not consider their potential impact on dune morphodynamics. This study investigated how IAS control measures can affect sand dune mobility. Research involved monitoring short-term morphological and vegetation changes using close-range remote sensing along with historical wind data. Findings revealed that changes in vegetation cover significantly impacted dune system evolution, notably increasing sand mobility when IAS vegetation was removed. Considering the seasonal wind regime, dominated by offshore winds in the summer, removing vegetation during this period can promote seaward sediment transport, potentially resulting in sediment loss to the beach. These findings highlight the importance of understanding sediment mobility patterns when planning vegetation control actions within dune restoration strategies. Full article
(This article belongs to the Special Issue Remote Sensing Application in Coastal Geomorphology and Processes II)
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