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Special Issue "Remote Sensing for Coastal Habitat Mapping and Decade of Ocean Science"

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

Deadline for manuscript submissions: 31 August 2023 | Viewed by 3327

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Special Issue Editors

Dr. Terushisa Komatsu

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Guest Editor

Japan Fisheries Resource Conservation Association, Towa-Akashi Building 5F, 1-1 Akashi, Chuo, Tokyo 104-0044, Japan
Interests: remote sensing; acoustics; satellite image; seaweed; seagrass; echosounder; multibeam sonar; data logger; biotelemetry
Special Issues, Collections and Topics in MDPI journals

Dr. Tatsuyuki Sagawa

E-Mail Website
Guest Editor

Remote Sensing Technology Center of Japan, Tokyo 105-0001, Japan
Interests: bathymetry; ecosystem; shallow water; remote sensing; mapping

Special Issue Information

Dear Colleagues,

Remote sensing is an important tool for filling in critical information gaps for mapping and monitoring coastal habitats that provide indispensable ecosystem services, including blue carbon production; however, significant barriers exist for operational use within ecological and conservation communities. The recent advance of remote sensing technology and free access to high-resolution RS imageries open up new opportunities for applying remote sensing to coastal habitat mapping and monitoring, not only for research, but more importantly for conservation and management. This Special Issue aims to share cutting-edge techniques with respect to coastal habitat mapping and its applications and, thus, aims to generate solutions for coastal habitat conservation for the sustainable development of coastal area by identifying direct and indirect human impacts on coastal waters and developing ICAM/MSP, eventually contributing to the Decade of Ocean Science started in 2021.

This Special Issue aims to share not only novel, improved methods/approaches and/or algorithms of remote sensing to map coastal habitats but also case studies on the conservation of coastal habitats by applying remote sensing to realize the sustainable development of coastal areas. Due to the fact that remote sensing can play an important role in this regard, it is sharing applications of remote sensing for coastal habitat conservation is indispensable. The scope of this Special Issue includes multispectral and hyperspectral remote sensing, active and passive microwave remote sensing, lidar and laser scanning, change detection, image processing and pattern recognition, operational use of remote sensing, and remote sensing applications concerning coastal habitat mapping and conservation

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: remote sensing of coastal habitats such as seagrass, seaweed and coral reefs; mangroves with human impacts such as aquaculture facilities; land use land cover change, etc.; analysis of temporal changes in coastal habitats, and applications of remote sensing to coastal habitat conservation.

Dr. Terushisa Komatsu
Dr. Tatsuyuki Sagawa
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 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.

Keywords

coastal habitat mapping
conservation
blue carbon
LULC change
ecosystem service
human impacts
integrated coastal area management
marine spatial planning

Published Papers (3 papers)

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Open AccessArticle

Predictive Mapping of Mediterranean Seagrasses-Exploring the Influence of Seafloor Light and Wave Energy on Their Fine-Scale Spatial Variability

Elias Fakiris

Vasileios Giannakopoulos

Georgios Leftheriotis

Athanassios Dimas

and

George Papatheodorou

Remote Sens. 2023, 15(11), 2943; https://doi.org/10.3390/rs15112943 - 05 Jun 2023

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Abstract

Seagrasses are flowering plants, adapted to marine environments, that are highly diverse in the Mediterranean Sea and provide a variety of ecosystem services. It is commonly recognized that light availability sets the lower limit of seagrass bathymetric distribution, while the upper limit depends on the level of bottom disturbance by currents and waves. In this work, detailed distribution of seagrass, obtained through geoacoustic habitat mapping and optical ground truthing, is correlated to wave energy and light on the seafloor of the Marine Protected Area of Laganas Bay, Zakynthos Island, Greece, where the seagrasses Posidonia oceanica and Cymodocea nodosa form extensive meadows. Mean wave energy on the seafloor was estimated through wave propagation modeling, while the photosynthetically active radiation through open-access satellite-derived light parameters, reduced to the seafloor using the detailed acquired bathymetry. A significant correlation of seagrass distribution with wave energy and light was made clear, allowing for performing fine-scale predictive seagrass mapping using a random forest classifier. The predicted distributions exhibited >80% overall accuracy for P. oceanica and >90% for C. nodosa, indicating that fine-scale seagrass predictive mapping in the Mediterranean can be performed robustly through bottom wave energy and light, especially when detailed bathymetric data exist to allow for accurate estimations. Full article

(This article belongs to the Special Issue Remote Sensing for Coastal Habitat Mapping and Decade of Ocean Science)

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Open AccessArticle

Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis

Houlang Duan

and

Xiubo Yu

Remote Sens. 2022, 14(24), 6191; https://doi.org/10.3390/rs14246191 - 07 Dec 2022

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Abstract

Coastal wetlands form a transition zone between terrestrial and marine environments and provide important ecosystem services. Land-use change in the coastal zone has a substantial effect on habitat connectivity and biodiversity. However, few studies have characterized the effects of land-use change on coastal habitat connectivity. We conducted remote sensing analysis, modeling with the Integrated Valuation of Ecosystem Services and Trade-offs model, geospatial analysis, and habitat connectivity analysis to evaluate historical spatiotemporal changes in the habitat quality and habitat connectivity of migratory shorebirds in the Yellow River Delta, which is an important stopover site along the East Asian–Australasian Flyway migratory route. Several high- and medium-quality areas have been converted to industrial mining and mariculture sites because of land reclamation. The probability of connectivity decreased by −66.7% between 1975 and 2020. Approximately 71.0%, 11.6%, and 5.8% of patches with high importance have been converted to non-habitat patches, habitat patches with medium importance, and habitat patches with low importance, respectively; approximately 58.9% and 11.7% of the patches with medium importance have been converted to non-habitat patches and habitat patches with low importance, respectively. The total priority conservation area was 389.4 km², and 125.0 km² (32.1%) of this area remains unprotected; these unprotected areas are mainly distributed in the northwestern and eastern parts of the Yellow River Delta. We recommend that the boundary of the Yellow River Delta National Nature Reserve be expanded to incorporate these unprotected areas. Full article

(This article belongs to the Special Issue Remote Sensing for Coastal Habitat Mapping and Decade of Ocean Science)

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Open AccessTechnical Note

Baseline Assessment of Ecological Quality Index (EQI) of the Marine Coastal Habitats of Tonga Archipelago: Application for Management of Remote Regions in the Pacific

and

Remote Sens. 2023, 15(4), 909; https://doi.org/10.3390/rs15040909 - 07 Feb 2023

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Abstract

The loss of coral habitats and associated biodiversity have direct effects both on the physical dynamics of the coast and on natural resources, threatening the survival of local populations. Conservative actions, such as the creation of new Marine Protected Areas, are urgent measures needed to face climate change. Managers need fast and simple methods to evaluate marine habitats for planning conservation areas. Here, we present the application of an Ecological Quality Index (EQI), developed for regional-scale habitat maps of the Atlas of the Marine Coastal Habitats of the Kingdom of Tonga, by processing Copernicus Sentinel-2 imagery. Both the habitat mapping classification and the EQI application were focused on the importance of coral reef, seagrass and mangrove habitats, both as natural defense and sustenance for the local populations. Twelve main Pacific reef habitats were evaluated through a three-level EQI score assigned to six parameters: nursery ground, connectivity, species reservoir, fish attraction, biodiversity and primary production. The EQI was integrated into a developed georeferenced database associated to the QGIS software providing the ability to identify on the maps the area of interest and the associated habitats, and to quantify their ecological relevance. The EQI is proposed as a tool that can offer to stakeholders and environmental managers a simple and direct indicator of the value of the marine coastal environment. The index may be handled for management purposes of vast areas with remote and uninhabited islands. Full article

(This article belongs to the Special Issue Remote Sensing for Coastal Habitat Mapping and Decade of Ocean Science)

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Special Issue "Remote Sensing for Coastal Habitat Mapping and Decade of Ocean Science"

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