Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.0
3.0
Journals
Water
Special Issues
Advanced Remote Sensing for Coastal System Monitoring and Management
water-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Water Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advanced Remote Sensing for Coastal System Monitoring and Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Oceans and Coastal Zones".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 1043

Special Issue Editors

Dr. Chunpeng Chen

E-Mail Website
Guest Editor
Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Interests: coastal remote sensing; coastal wetlands; deep learning; coastal geomorphology
Special Issues, Collections and Topics in MDPI journals
Dr. Ce Zhang

E-Mail Website
Guest Editor
School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK
Interests: remote sensing; deep learning; geospatial data science
Special Issues, Collections and Topics in MDPI journals
Dr. Wenting Wu

E-Mail Website
Guest Editor
Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China
Interests: remote sensing; coastal wetlands; coastal numerical modeling; coastal disturbance monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Coastal areas, home to diverse ecosystems and vital resources, are under constant pressure from climate change, urbanization and industrial activities. Advanced remote sensing technologies, especially time-series remote sensing analysis and deep learning, play a key role in monitoring and managing these dynamic environments.

This Special Issue invites contributions that explore the latest advances in satellite/UAV remote sensing and deep learning technologies for the monitoring and management of coastal systems. Papers may focus on a wide range of topics including, but not limited to, the application of optical satellite imagery, UAVs, LiDAR, radar systems, and other remote sensing tools for mapping, analysis, and management of coastal zones such as offshore/onshore aquaculture, intertidal salt marshes, mangrove forests, tidal flats, seagrass beds, shorelines, and coastal reclamation. We are particularly interested in studies that demonstrate the integration of remote sensing and deep learning for coastal ecosystem monitoring, habitat mapping, driver tracking, and coastal resource management.

Papers should highlight novel techniques, methodologies, and case studies that use remote sensing data for coastal zone management, with an emphasis on the ability to monitor changes in land cover, vegetation health, coastal erosion, water quality, and biodiversity. In addition, priority will be given to research that demonstrates how these tools can be used to inform sustainable management practices, support decision making, and contribute to global conservation efforts.

This Special Issue aims to showcase the immense potential of remote sensing technologies for the conservation and sustainable management of coastal environments. We welcome original research papers, reviews, and case studies that push the boundaries of current remote sensing applications and offer innovative solutions for monitoring and managing coastal systems in an era of rapid environmental change.

Dr. Chunpeng Chen
Dr. Ce Zhang
Dr. Wenting Wu
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. Water 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 2600 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

  • coastal zones
  • remote sensing
  • coastal sustainable management
  • deep learning

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.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 4104 KiB  
Article
Linkage Analysis Between Coastline Change and Both Sides of Coastal Ecological Spaces
by Xianchuang Fan, Chao Zhou, Tiejun Cui, Tong Wu, Qian Zhao and Mingming Jia
Water 2025, 17(10), 1505; https://doi.org/10.3390/w17101505 - 16 May 2025
Viewed by 282
Abstract
As the first marine economic zone, the coastal zone is a complex and active ecosystem, serving as an important resource breeding area. However, during the process of economic development, coastal zone resources have been severely exploited, leading to fragile ecology and frequent natural [...] Read more.
As the first marine economic zone, the coastal zone is a complex and active ecosystem, serving as an important resource breeding area. However, during the process of economic development, coastal zone resources have been severely exploited, leading to fragile ecology and frequent natural disasters. Therefore, it is imperative to analyze coastline changes and their correlation with coastal ecological space. Utilizing long-time series high-resolution remote sensing images, Google Earth images, and key sea area unmanned aerial vehicle (UAV) remote sensing monitoring data, this study selected the coastal zone of Ningbo City as the research area. Remote sensing interpretation mark databases for coastline and typical coastal ecological space were established. Coastline extraction was completed based on the visual discrimination method. With the help of the Modified Normalized Difference Water Index (MNDWI), Normalized Difference Vegetation Index (NDVI) and maximum likelihood classification, a hierarchical classification discrimination process combined with a visual discrimination method was constructed to extract long-time series coastal ecological space information. The changes and the linkage relationship between the coastlines and coastal ecological spaces were analyzed. The results show that the extraction accuracy of ground objects based on the hierarchical classification process is high, and the verification effect is improved with the help of UAV remote sensing monitoring. Through long-time sequence change monitoring, it was found that the change in coastline traffic and transportation is significant. Changes in ecological spaces, such as industrial zones, urban construction, agricultural flood wetlands and irrigation land, dominated the change in artificial shorelines, while the change in Spartina alterniflora dominated the change in biological coastlines. The change in ecological space far away from the coastline on both the land and sea sides has little influence on the coastline. The research shows that the correlation analysis between coastline and coastal ecological space provides a new perspective for coastal zone research. In the future, it can provide technical support for coastal zone protection, dynamic supervision, administration, and scientific research. Full article
(This article belongs to the Special Issue Advanced Remote Sensing for Coastal System Monitoring and Management)
►▼ Show Figures

Figure 1

17 pages, 2949 KiB  
Article
Detection and Characterization of Marine Ecotones Using Satellite-Derived Environmental Indicators
by Hanzhi Zhang, Yugui Zhu, Yuheng Zhao, Daomin Peng, Bin Kang, Chunlong Liu, Yunfeng Wang and Jiansong Chu
Water 2025, 17(7), 1041; https://doi.org/10.3390/w17071041 - 1 Apr 2025
Viewed by 305
Abstract
The delimitation of an ecotone is an important reference for ecosystem conservation; however, the assessment of a marine ecotone from an ecological point of view represents a knowledge gap. The Yellow River Estuary (YRE) serves as both spawning and feeding grounds for numerous [...] Read more.
The delimitation of an ecotone is an important reference for ecosystem conservation; however, the assessment of a marine ecotone from an ecological point of view represents a knowledge gap. The Yellow River Estuary (YRE) serves as both spawning and feeding grounds for numerous economically important organisms. Delineating the boundary of YRE and assessing the boundary change have great importance in maintaining its ecosystem health. This study attempts to apply a Moving Split Window (MSW) to determine marine boundary in YRE. Level 2 remote sensing satellite data spanning from 2012 to 2020 sourced from the Geostationary Ocean Color Imager (GOCI) were utilized. Chlorophyll-a, Chromophoric Dissolved Organic Matter (CDOM), and Total Suspended Solids (TSS) were employed as variables, with Squared Euclidean Distance (SED) serving as the determinant for identifying the marine ecological ecotone within the Yellow Estuary and its adjacent waters. Results indicate the following: (1) SED values exhibit distinct peaks and valleys, facilitating the accurate identification of marine ecotones via MSW. (2) Evident ecotones are observable in both the gate and coastal regions. (3) The influence range of TSS on the gate spans between 10 km and 14 km. In synthesis, the ensuing conclusions are drawn: MSW proves to be a reliable method for quantitatively determining ecotones in marine environments. Furthermore, MSW introduces a novel approach to the delineation of marine ecotones. Full article
(This article belongs to the Special Issue Advanced Remote Sensing for Coastal System Monitoring and Management)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop