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Special Issue "Multi-Source Data Observations of Shallow Water Area — Methods, Ecosystem, Geomorphology and Environment"

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

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 1662

Special Issue Editors

United States Geological Survey, Reston, VA 20192, USA
Interests: satellite imagery; lidar; UAS/UAV; spatial statistics; coastal geomorphology; satellite derived bathymetry
Earth Observation and Science (EROS) Center, U.S. Geological Survey, Sioux Falls, SD 57198, USA
Interests: topograpgy; GIS; remote sensing; geostatistics; coastal geomorphology
School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, USA
Interests: GIS; coastal engineering; geomatics; full-waveform lidar; topographic-bathymetric lidar; hyperspectral imagery; uncertainty modeling
United States Geological Survey, Reston, VA 20192, USA
Interests: topography; GIS; remote sensing; geostatistics

Special Issue Information

Dear Colleagues,

Improved understanding of physical changes in the Earth’s shallow to intermediate water regions is crucial to understanding the impacts of sea-level rise, extreme storm events, submarine environments, sediment transport, and growing human population pressure on coastal, lacustrine, and polar ecosystems. Bathymetric variations across a range of scales occur due to both natural sediment transport and deposition processes and coastal storm protective infrastructures. Recent advances in sensor and platform technologies have led to the development and deployment of sensors with fine spatial and spectral resolutions and low sensor noise on a variety of platforms, including autonomous underwater vehicles (AUVs), moorings, autonomous surface vehicles, unpiloted aerial vehicles (UAVs), and CubeSats, in addition to conventional airborne and spaceborne systems.

These advances allow access to datasets with increasingly high resolution, both in time (seconds to days) and space (sub-meter), allowing for detailed observations of changes in coastal landscapes and the related nearshore and beach processes driving those changes. High-resolution and accuracy coastal remote sensing facilitate interdisciplinary studies and contribute to a new understanding of the patterns, rates, and causes of coastal change and morpho-dynamics, as well as research of ongoing and future effects of storms, sea-level rise, coastal restoration, and human impacts on coastal environments. Advances in data fusion, data harmonization, and other approaches are providing unique opportunities to combine data from multiple sensors and extend the sensors' realm of applications beyond what were originally intended.

We welcome scientific papers that cover technique development, applications, and science advances on: 1. near-shore bathymetry mapping (unoccupied systems, satellite platforms, close range remote sensing); 2. optimal fusion of direct and remote observations; 3. artificial intelligence and machine learning techniques to derive key ecosystem variables; 4. near-shore and submerged geomorphic change analysis; 5. impact of nearshore bathymetry on coastal hazards and sediment transport; and 6. innovative sensors, platforms, and algorithms to quantify coastal protection using nature-based solutions (reefs, beaches, dunes, mangroves and wetlands, vegetation).

Dr. Monica Palaseanu-Lovejoy
Dr. Dean B. Gesch
Dr. Christopher E. Parrish
Jeff Danielson
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 2500 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.


  • coastal hazards
  • coastal geomorphology
  • coastal remote sensing
  • satellite-derived bathymetry
  • near-shore bathymetry mapping
  • data fusion
  • innovative sensors, platforms, and algorithms
  • sediment transport
  • artificial intelligence and machine learning

Published Papers (1 paper)

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Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery
Remote Sens. 2022, 14(23), 6035; - 29 Nov 2022
Viewed by 1093
Short-term changes in shallow bathymetry affect the coastal zone, and therefore their monitoring is an essential task in coastal planning projects. This study provides a novel approach for monitoring shallow bathymetry changes based on drone multispectral imagery. Particularly, we apply a shallow water [...] Read more.
Short-term changes in shallow bathymetry affect the coastal zone, and therefore their monitoring is an essential task in coastal planning projects. This study provides a novel approach for monitoring shallow bathymetry changes based on drone multispectral imagery. Particularly, we apply a shallow water inversion algorithm on two composite multispectral datasets, being acquired five months apart in a small Mediterranean sandy embayment (Chania, Greece). Initially, we perform radiometric corrections using proprietary software, and following that we combine the bands from standard and multispectral cameras, resulting in a six-band composite image suitable for applying the shallow water inversion algorithm. Bathymetry inversion results showed good correlation and low errors (<0.3 m) with sonar measurements collected with an uncrewed surface vehicle (USV). Bathymetry maps and true-color orthomosaics assist in identifying morphobathymetric features representing crescentic bars with rip channel systems. The temporal bathymetry and true-color data reveal important erosional and depositional patterns, which were developed under the impact of winter storms. Furthermore, bathymetric profiles show that the crescentic bar appears to migrate across and along-shore over the 5-months period. Drone-based multispectral imagery proves to be an important and cost-effective tool for shallow seafloor mapping and monitoring when it is combined with shallow water analytical models. Full article
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