remotesensing-logo

Journal Browser

Journal Browser

Application of Remote Sensing and Numerical Modelling in River, Estuarine and Coastal Environments

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 831

Special Issue Editors


E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow G1 1XJ, UK
Interests: remote sensing; beach profile; sandbars; nearshore morphodynamics; river; estuary; bridge-scour; risk assessment; monitoring; numerical modelling

E-Mail Website
Guest Editor
Department of Civil Engineering and Architecture (DICEA), Università Politecnica delle Marche, 60131 Ancona, Italy
Interests: numerical modelling; computational fluid dynamics; coastal morphodynamics; oceanography; sand bars

E-Mail Website
Guest Editor
Centre National D’Etudes Spatiales (CNES), 31400 Toulouse, France
Interests: remote sensing solutions for coastal monitoring

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to the Special Issue on “Application of Remote Sensing and Numerical Modelling in River, Estuarine and Coastal Environments”.

Heavy rainfall, storm surges, and sea level rise pose significant challenges to both riverine and coastal areas, particularly in estuarine regions where their combined effects can significantly increase the risk of flooding. In-depth knowledge of the physical processes occurring in these environments is therefore crucial to understanding the behaviour of these systems, especially under extreme conditions.

In recent decades, technological advances have led to the rapid and extensive development of remote sensing techniques, the increasing availability of satellite data, and the growing use of unmanned aerial vehicles (UAVs). To complement the fruitful application of remote sensing, numerical modelling is fundamental for the simulation of specific dynamics, the proper design of mitigation works, and the prediction of future events. However, the creation and validation of numerical models require crucial external information to obtain reliable results. In this sense, remote sensing data can be integrated into computational modelling, providing real-time and affordable datasets. Improvements in remote sensing and modelling also enhance early warning, sustainable urban planning, and resilient infrastructure, minimising natural impacts.

This Special Issue aims to provide a comprehensive overview of current research and to explore advanced approaches in local- and regional-scale applications of remote sensing and numerical modelling. Authors are encouraged to submit papers on, but not limited to, the following topics:

  • River, estuarine, and coastal dynamics;
  • Innovative applications of satellite, airborne, or land-based sensors in aquatic environments;
  • Large-scale image velocimetry and other indirect approaches to achieve flow and wave information;
  • Remote sensing applications for coastal erosion and protection;
  • Methodologies for flood analysis and risk assessment;
  • Informed decision support systems for natural hazards and emergency management;
  • Studies of combined hazards under climate change;
  • Numerical modelling using remote sensing data for model forcing, calibration, or validation.

Dr. Eleonora Perugini
Dr. Lorenzo Melito
Dr. Erwin Bergsma
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

  • remote sensing
  • numerical modelling
  • flood risk
  • coastal erosion
  • waves
  • river flow
  • surface velocity
  • video monitoring
  • hydro-morphodynamics
  • CFD

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

22 pages, 5776 KiB  
Article
Using Pleiades Satellite Imagery to Monitor Multi-Annual Coastal Dune Morphological Changes
by Olivier Burvingt, Bruno Castelle, Vincent Marieu, Bertrand Lubac, Alexandre Nicolae Lerma and Nicolas Robin
Remote Sens. 2025, 17(9), 1522; https://doi.org/10.3390/rs17091522 - 25 Apr 2025
Abstract
In the context of sea levels rising, monitoring spatial and temporal topographic changes along coastal dunes is crucial to understand their dynamics since they represent natural barriers against coastal flooding and large sources of sediment that can mitigate coastal erosion. Different technologies are [...] Read more.
In the context of sea levels rising, monitoring spatial and temporal topographic changes along coastal dunes is crucial to understand their dynamics since they represent natural barriers against coastal flooding and large sources of sediment that can mitigate coastal erosion. Different technologies are currently used to monitor coastal dune topographic changes (GNSS, UAV, airborne LiDAR, etc.). Satellites recently emerged as a new source of topographic data by providing high-resolution images with a rather short revisit time at the global scale. Stereoscopic or tri-stereoscopic acquisition of some of these images enables the creation of 3D models using stereophotogrammetry methods. Here, the Ames Stereo Pipeline was used to produce digital elevation models (DEMs) from tri-stereo panchromatic and high-resolution Pleiades images along three 19 km long stretches of coastal dunes in SW France. The vertical errors of the Pleiades-derived DEMs were assessed by comparing them with DEMs produced from airborne LiDAR data collected a few months apart from the Pleiades images in 2017 and 2021 at the same three study sites. Results showed that the Pleiades-derived DEMs could reproduce the overall dune topography well, with averaged root mean square errors that ranged from 0.5 to 1.1 m for the six sets of tri-stereo images. The differences between DEMs also showed that Pleiades images can be used to monitor multi-annual coastal dune morphological changes. Strong erosion and accretion patterns over spatial scales ranging from hundreds of meters (e.g., blowouts) to tens of kilometers (e.g., dune retreat) were captured well, and allowed to quantify changes with reasonable errors (30%). Furthermore, relatively small averaged root mean square errors (0.63 m) can be obtained with a limited number of field-collected elevation points (five ground control points) to perform a simple vertical correction on the generated Pleiades DEMs. Among different potential sources of errors, shadow areas due to the steepness of the dune stoss slope and crest, along with planimetric errors that can also occur due to the steepness of the terrain, remain the major causes of errors still limiting accurate enough volumetric change assessment. However, ongoing improvements on the stereo matching algorithms and spatial resolution of the satellite sensors (e.g., Pleiades Neo) highlight the growing potential of Pleiades images as a cost-effective alternative to other mapping techniques of coastal dune topography. Full article
Show Figures

Figure 1

Back to TopTop