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Coastal Erosion Monitoring Based on Earth Observation Products

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

Deadline for manuscript submissions: closed (17 October 2022) | Viewed by 5310

Special Issue Editors


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Guest Editor
Campus Universitário de Santiago, CESAM - Universidade de Aveiro, 3810-193 Aveiro, Portugal
Interests: monitoring systems for morphodynamic proposes; data acquisition methods; digital image analysis; remote sensing for nearshore applications; morphological analysis; sandy shore environments; risk management; short to medium term shoreline modelling

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Guest Editor
National Laboratory for Civil Engineering (LNEC), Lisbon, Portugal
Interests: coastal hydrodynamics; sediment transport and morphological modelling; shoreline evolution; data acquisition and coastal monitoring; coastal hazards; coastal vulnerability and risk assessment and mapping; remote sensing of coastal parameters and bathymetry; nature-based solutions.
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Special Issue Information

Dear Colleagues,

Erosion has become one of the biggest threats in many coastal regions of the world, and it is estimated that 70% of the shorelines are in retreat. Considering the large number of people living in coastal areas, this process implies many societal challenges. Since coastal areas are very dynamic at different spatial and temporal scales, the monitoring of morphological changes requires good data sources and dedicated methodological approaches.

Presently, there is a vast range of remote sensing (RS)-based sensors from varied platforms which make it possible to cover these different scales. When the RS-acquired data are explored through novel methods and algorithms, a great potential for quantifying changes occurring in coastal areas is evidenced.

Several coastal erosion indicators can be considered in both rocky and sandy shores, such as waterlines, maximum swash execution (run-up), dune foot or cliff foot of apex, beach width, tidal creeks, underwater seabed type, and morphology such as nearshore bathymetry, coastal habitats, and cover mapping. This Special Issue will focus on research concerned with innovative approaches to retrieving coastal erosion indicators from RS, the associated limits of application, and the achieved accuracies useful for coastal management proposes.

Papers are welcome linking coastal erosion with various aspects of RS, such as multi-spectral and hyperspectral RS, lidar surveying, geometric reconstruction, image processing and pattern recognition, data fusion and data assimilation, and spaceborne, airborne and terrestrial platforms.

Dr. Paulo Renato Baganha Baptista
Dr. Francisco Sancho
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
  • coastal erosion indicators
  • algorithms
  • validation
  • management applications
  • coastal mapping

Published Papers (1 paper)

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Research

24 pages, 6596 KiB  
Article
State of the Vietnamese Coast—Assessing Three Decades (1986 to 2021) of Coastline Dynamics Using the Landsat Archive
by Ronja Lappe, Tobias Ullmann and Felix Bachofer
Remote Sens. 2022, 14(10), 2476; https://0-doi-org.brum.beds.ac.uk/10.3390/rs14102476 - 21 May 2022
Cited by 8 | Viewed by 3793
Abstract
Vietnam’s 3260 km coastline is densely populated, experiences rapid urban and economic growth, and faces at the same time a high risk of coastal hazards. Satellite archives provide a free and powerful opportunity for long-term area-wide monitoring of the coastal zone. This paper [...] Read more.
Vietnam’s 3260 km coastline is densely populated, experiences rapid urban and economic growth, and faces at the same time a high risk of coastal hazards. Satellite archives provide a free and powerful opportunity for long-term area-wide monitoring of the coastal zone. This paper presents an automated analysis of coastline dynamics from 1986 to 2021 for Vietnam’s entire coastal zone using the Landsat archive. The proposed method is implemented within the cloud-computing platform Google Earth Engine to only involve publicly and globally available datasets and tools. We generated annual coastline composites representing the mean-high water level and extracted sub-pixel coastlines. We further quantified coastline change rates along shore-perpendicular transects, revealing that half of Vietnam’s coast did not experience significant change, while the remaining half is classified as erosional (27.7%) and accretional (27.1%). A hotspot analysis shows that coastal segments with the highest change rates are concentrated in the low-lying deltas of the Mekong River in the south and the Red River in the north. Hotspots with the highest accretion rates of up to +47 m/year are mainly associated with the construction of artificial coastlines, while hotspots with the highest erosion rates of −28 m/year may be related to natural sediment redistribution and human activity. Full article
(This article belongs to the Special Issue Coastal Erosion Monitoring Based on Earth Observation Products)
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