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Remote Sensing of Coastal Environment and Evolution: Progress, Challenges and...
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Remote Sensing of Coastal Environment and Evolution: Progress, Challenges and Opportunities

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 3086

Special Issue Editors

Prof. Dr. Chengyi Zhao

E-Mail Website
Guest Editor
School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
Interests: coastline environment; soil science; remote sensing
Prof. Dr. Jianting Zhu

E-Mail Website
Guest Editor
College of Engineering and Physical Sciences, University of Wyoming, Laramie, WY 82071, USA
Interests: soil physics; coastal hydrodynamics; landscape heterogeneity and evolution
Dr. Wen Dai

E-Mail Website
Guest Editor
School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
Interests: remote sensing; geographic information science; geospatial analysis; change detection
Dr. Konstantinos Topouzelis

E-Mail Website
Guest Editor
Head, Marine Remote Sensing Group (MRSG), Department of Marine Sciences, University of the Aegean, 81100 Lesvos, Greece
Interests: analysis of remote sensing datasets, including satellite and aerial images, for marine and coastal applications; oil spill detection, automatic detection of oceanographic phenomena; object-based image analysis; image processing algorithms and coastal mapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Coastal areas play a vital role in global ecosystems, economies, and human settlements. However, they are facing unprecedented challenges due to natural processes and human activities. Understanding the environment and evolution of coastal regions is crucial for their effective management, conservation, and sustainable development. Remote sensing, with its ability to capture large-scale and long-term data, has emerged as a powerful tool for studying coastal environments. Satellite sensors, airborne platforms, and ground-based instruments provide valuable data on coastal morphology, shoreline changes, coastal vegetation, bathymetry, water quality, and other relevant parameters. These observations contribute to our understanding of coastal dynamics, erosion, accretion, sediment transport, and the impact of climate change and human interventions on coastal ecosystems.

This Special Issue aims to explore the advancements, challenges, and opportunities in using remote sensing technologies to monitor and understand coastal regions. This Special Issue provides a platform to present the latest research, methodologies, case studies, and innovations in remote sensing applications for coastal observation and evolution.

Articles may address, but are not limited, to the following topics:

  • Advances in remote sensing techniques for coastal monitoring and analysis;
  • Mapping and monitoring of coastal land cover and land use changes;
  • Quantifying coastal morphology and shoreline evolution using remote sensing data;
  • Assessing coastal erosion, accretion, sediment dynamics, and coastal hazards;
  • Monitoring coastal vegetation, habitats, and their responses to environmental changes;
  • Integration of remote sensing with modeling approaches for coastal studies;
  • Challenges in data acquisition, calibration, and validation in coastal regions;
  • Remote sensing for coastal management and conservation;
  • Opportunities and future directions for remote sensing in coastal research.

Prof. Dr. Chengyi Zhao
Prof. Dr. Jianting Zhu
Dr. Wen Dai
Dr. Konstantinos Topouzelis
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

  • coastal observation
  • UAV techniques
  • coastal erosion
  • coastal & beach dynamics
  • coastal space management solutions
  • coastal evolution
  • coastal dynamics
  • shoreline changes
  • sediment dynamics
  • coastal land cover
  • coastal and offshore topography mapping

Published Papers (3 papers)

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Research

16 pages, 15788 KiB  
Article
A Satellite View of the Wetland Transformation Path and Associated Drivers in the Greater Bay Area of China during the Past Four Decades
by Kun Sun and Weiwei Yu
Remote Sens. 2024, 16(6), 1047; https://doi.org/10.3390/rs16061047 - 15 Mar 2024
Viewed by 501
Abstract
As a highly productive and biologically diverse ecosystem, wetlands provide unique habitat for a wide array of plant and animal species. Owing to the strong disturbance by human activities and climate change, wetland degradation and fragmentation have become a common phenomenon across the [...] Read more.
As a highly productive and biologically diverse ecosystem, wetlands provide unique habitat for a wide array of plant and animal species. Owing to the strong disturbance by human activities and climate change, wetland degradation and fragmentation have become a common phenomenon across the globe. The Guangdong–Hong Kong–Macao Greater Bay Area (GBA) is a typical case. The GBA has experienced explosive growth in the population and economy since the early 1980s, which has resulted in complicated transitions between wetlands and non-wetlands. However, our knowledge about the transformation paths, associated drivers, and ecological influence of the GBA’s wetlands is still very limited. Taking advantage of the land use maps generated from Landsat observations over the period of 1980–2020, here, we quantified the spatiotemporal transformation paths of the GBA’s wetlands and analyzed the associated drivers and ecological influence. We found that the dominant transformation path between wetland and non-wetland was from wetland to built-up land, which accounted for 98.4% of total wetland loss. The primary transformation path among different wetland types was from coastal shallow water and paddy land to reservoir/pond, with the strongest transformation intensity in the 1980s. The driving forces behind the wetland change were found to vary by region. Anthropogenic factors (i.e., population growth and urbanization) dominated in highly developed cities, while climate factors and aquaculture had a greater influence in underdeveloped cities. The findings presented in this study will provide a reference for wetland management and planning in the GBA. Full article
(This article belongs to the Special Issue Remote Sensing of Coastal Environment and Evolution: Progress, Challenges and Opportunities)
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19 pages, 12144 KiB  
Article
Effects of the Construction of Granadilla Industrial Port in Seagrass and Seaweed Habitats Using Very-High-Resolution Multispectral Satellite Imagery
by Antonio Mederos-Barrera, José Sevilla, Javier Marcello, José María Espinosa and Francisco Eugenio
Remote Sens. 2024, 16(6), 945; https://doi.org/10.3390/rs16060945 - 08 Mar 2024
Viewed by 747
Abstract
Seagrass and seaweed meadows hold a very important role in coastal and marine ecosystems. However, anthropogenic impacts pose risks to these delicate habitats. This paper analyses the multitemporal impact of the construction of the largest industrial port in the Canary Islands, near the [...] Read more.
Seagrass and seaweed meadows hold a very important role in coastal and marine ecosystems. However, anthropogenic impacts pose risks to these delicate habitats. This paper analyses the multitemporal impact of the construction of the largest industrial port in the Canary Islands, near the Special Area of Conservation Natura 2000, on Cymodocea nodosa seagrass meadows (sebadales) of the South of Tenerife, in the locality of Granadilla (Canary Islands, Spain). Very-high-resolution WorldView-2 multispectral satellite data were used for the analysis. Specifically, three images were selected before, during, and after the construction of the port (2011, 2014, and 2022, correspondingly). Initially, advanced pre-processing of the images was performed, and then seabed maps were obtained using the machine learning K-Nearest Neighbors (KNN) supervised classification model, discriminating 12 different bottom types in Case-2 complex waters. The maps achieved high-quality metrics with Precision values of 85%, 81%, and 80%, recall of 76%, 77%, and 77%, and F1 scores of 80%, 79%, and 77% for 2011, 2014, and 2022, respectively. The results mainly show that the construction directly affected the seagrass and seaweed habitats. In particular, the impact of the port on the meadows of Cymodocea nodosa, Caulerpa prolifera, and maërl was assessed. The total maërl population was reduced by 1.9 km2 throughout the study area. However, the Cymodocea nodosa population was maintained at the cost of colonizing maërl areas. Furthermore, the port sedimented a total of 0.98 km2 of seabed, especially Cymodocea nodosa and maërl. In addition, it was observed that Caulerpa prolifera was established as a meadow at the entrance of the port, replacing part of the Cymodocea nodosa and maërl areas. As additional results, bathymetric maps were generated from satellite imagery with the Sigmoid model, and the presence of a submarine outfall was, as well, presented. Full article
(This article belongs to the Special Issue Remote Sensing of Coastal Environment and Evolution: Progress, Challenges and Opportunities)
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Graphical abstract

19 pages, 29290 KiB  
Article
Quantitative Analysis of Tidal Creek Evolution and Vegetation Variation in Silting Muddy Flats on the Yellow Sea
by Guanghui Zheng, Yan Wang, Chengyi Zhao, Wen Dai, Giri Raj Kattel and Dian Zhou
Remote Sens. 2023, 15(21), 5107; https://doi.org/10.3390/rs15215107 - 25 Oct 2023
Viewed by 774
Abstract
Coastal wetland ecosystems around the world are facing serious challenges due to rapid economic development, climate change, and sea level rise. These factors have a great influence on the tidal creek network and vegetation ecosystem. Accordingly, based on long-term time-series remote sensing images, [...] Read more.
Coastal wetland ecosystems around the world are facing serious challenges due to rapid economic development, climate change, and sea level rise. These factors have a great influence on the tidal creek network and vegetation ecosystem. Accordingly, based on long-term time-series remote sensing images, the evolution characteristics of tidal creeks and vegetation in silting muddy flats on the Yellow Sea were analyzed, and different quantitative methods were used to describe the relationship between tidal creeks and vegetation. The results showed that the total number of tidal creeks exhibited a downward trend, while the number of small creeks increased over time. The total length of the tidal creeks decreased at a rate of 16.1 km per year during the study period. The length of three-grade tidal creeks, the patch area ratio of Suaeda salsa, and a low vegetation coverage had a great influence on the average return flow length (LOP). LOP was negatively correlated with the patch area ratio of S. salsa, but positively correlated with the reclamation area, both significantly. With the increase in the patch area ratio of S. salsa, the total length of the tidal creeks increased by 12.95 km, and LOP decreased by 35.35 m. Full article
(This article belongs to the Special Issue Remote Sensing of Coastal Environment and Evolution: Progress, Challenges and Opportunities)
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