Underwater Remote Sensing: Status, New Challenges and Opportunities
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 November 2025
Special Issue Editors
Interests: optical methods of seafloor mapping;blending techniques for construction of photomosaics from imagery acquired underwater; seafloor structure reconstruction from multiple views;probabilistic reconstruction of color in underwater imagery;
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Interests: Marine Remote Sensing; habitat mapping; Target Detection; seabed classification; swath sonar; marine geology; multibeam echosounder; sidescan sonar; geophysics; GIS; geostatistics
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Special Issue Information
Approximately 70 percent of the oceans of Earth remain unexplored to modern standards. However, gathering information about seafloor, vegetation, underwater habitats, mineral deposits, etc., is crucial. Some experts consider the wealth of natural resources hidden beneath the water's surface to exceed that of land-based resources, in part due to the depletion of known resources. Therefore, underwater remote sensing must be performed by all countries that claim ownership of parts of the ocean. While traditional acoustic sensing techniques are predominantly utilized in underwater exploration, optical sensing methods are currently gaining popularity due to their exceptionally wide range of spatial and spectral resolutions: from submillimeter (remotely operated or autonomous underwater vehicles) to several meters (e.g., Pixxel's Fireflies with a 5-meter resolution and ~150 spectral bands, Hyperion with 220 bands, etc.). Some satellites, such as WorldView, provide images with a very high spatial resolution (~30 cm) but only possess a few broad spectral bands. It is therefore unclear whether these satellites could be utilized in seafloor classification.
Lidar occupies an intermediate niche in underwater remote sensing. It is a mature technology with a high spatial resolution (several measurements per square meter), but the recorded data require careful processing. In addition, high deployment costs reduce the applicative potential of airborne lidar in some parts of the world.
Prof. Dr. Yuri Rzhanov
Dr. Elias Fakiris
Guest Editors
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Keywords
- multibeam sonar
- synthetic aperture sonar
- airborne lidar
- underwater vehicles
- hyperspectral satellites
- satellite-derived bathymetry
- satellite-based bathymetric measurements.
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