Special Issue "Remote Sensing for Shallow and Deep Waters Mapping and Monitoring"
Deadline for manuscript submissions: 31 October 2021.
Interests: Shallow Water Bathymetry Mapping; 3D Computer Vision and Photogrammetry; Remote Sensing; Machine Learning; Deep Learning; Image Analysis; Image Classification
Interests: Optical remote sensing; benthic mapping; water quality; spatial analysis
Interests: Laser Scanning; Laser Bathymetry; Multimedia Photogrammetry; Topography; Geomorphology
Interests: earth observation and remote sensing; geospatial big data and analytics; computer vision and machine learning; environmental monitoring and precision agriculture
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Interests: Underwater, Image-Based Modelling, UAV, Mapping, Photogrammetry, Color Correction
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About 71% of the Earth's surface is water-covered, and the oceans hold about 96.5% of the Earth's water volume. Aquatic environments have a direct interference with society. It was estimated that around 39% of the world population live within 100 km of the marine coastline, and 90% live within 10 km of a freshwater body. However, until today only a small fraction of the subaqueous environments have been mapped in 3D, despite the need for better knowledge of these ecosystems which are pressured by anthropogenic activities such as habitat destruction, marine pollution, damage of cultural heritage, navigation and the increasing demand for offshore energy and resources. On the other hand, natural factors enhanced by climate change effects (e.g. storms, flash floods, sea level rise, coastal erosion, harmful algal blooms) have also an important influence, especially in coastal environments. With the advent of modern remote sensing techniques (e.g., seismic reflection profiling, aerial imagery, satellites, LiDAR), researchers have now gained the ability to effectively interpret and map large portions of these dynamic changing environments. Summing up the above, accurate bathymetric and seafloor mapping are a key element during coastal and offshore studies and engineering applications, sedimentary processes, hydrographic surveys and hydrological studies as well as archaeological mapping and biological research.
This Special Issue focuses on remote sensing, proximate and in-situ instrumentation, data processing and machine learning, bathymetric and seafloor mapping, water quality and pollutant detection applications in aquatic ecosystems, including the following topics:
- Airborne bathymetric mapping for shallow waters (two-media photogrammetry, spectral based bathymetry from UAV imagery etc.)
- Satellite Derived Bathymetry mapping for shallow waters
- Large-scale bathymetric mapping applications (i.e. ESA’s Sentinel-2 Coastal Charting Worldwide project, NOAA’s Deep ocean seafloor etc.)
- Remote Sensing for water quality (chlorophyll, turbidity, harmful algal blooms, etc.)
- Time series analysis/change detection
- Marine litter detection and tracking from UAV and satellite platforms
- Wave models for nearshore and surfzone bathymetry
- Water surface levels mapping
- Advances in Airborne and UAV-borne Laser Hydrography (LiDAR)
- Underwater Mapping using SONAR
- Fusion of hybrid bathymetric data (LiDAR, SONAR, SDB, Multimedia photogrammetry etc.)
- Machine and Deep Learning approaches for improved data processing techniques (refraction correction, object detection, seabed image and point cloud classification, semantic segmentation, etc.)
- Underwater mapping using ROVs, AUVs and Unmanned Surface Vehicles (USV)
Dr. Panagiotis Agrafiotis
Dr. Gema Casal
Dr. Gottfried Mandlburger
Dr. Konstantinos Karantzalos
Dr. Dimitrios Skarlatos
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 papers will be 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 2400 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.
- ROV, AUV and USV
- Fusion of bathymetric data
- Machine Learning
- Seabed classification
- Semantic Segmentation
- Marine Litter
- Water quality
- Time series analysis