A review of seagrass detection, mapping and monitoring applications using acoustic systems
European Journal of Remote Sensing, vol.52, pp.1-29, 2019 (SCI-Expanded, Scopus)
- Publication Type: Article / Review
- Volume: 52
- Publication Date: 2019
- Doi Number: 10.1080/22797254.2018.1544838
- Journal Name: European Journal of Remote Sensing
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Geobase, Directory of Open Access Journals
- Page Numbers: pp.1-29
- Keywords: Seagrass, acoustics, mapping, detection, monitoring, bathymetry, backscatter, SIDE-SCAN-SONAR, BENTHIC HABITAT DISTRIBUTION, POSIDONIA-OCEANICA MEADOWS, ANGULAR RESPONSE, MULTIBEAM SONAR, CLASSIFICATION TECHNIQUES, SEABED CLASSIFICATION, SEDIMENTARY PROCESSES, IKONOS SATELLITE, BACKSCATTER DATA
- Yıldız Technical University Affiliated: Yes
Abstract
ABSTRACT
Seagrass meadows are key elements of marine ecosystems as
they affect the physical, chemical and biological environment and provide
habitats for fish and invertebrates. Human activities have caused a
deterioration in seagrass which has led to unstable benthic habitats;
therefore, to prevent major decline, seagrass distribution must be mapped and monitored.
Acoustic systems allow researchers, scientists and decision makers to collect
highresolution datasets such as bathymetry, backscatter and sub-bottom
profiles. These systems are able to characterise the properties of the seafloor
including plants, sediments and habitats. In this review, we examine seagrass
mapping, monitoring and detection applications using acoustic systems in the
literature. Although there are various methodologies for data collection,
processing, classification and validation, these are limited to certain
seagrass species or study areas. Further worldwide research is required to
achieve consistent seagrass detection systems with data acquisition,
pre-processing, classification and post-processing.