Acoustic Approach to Determining Seabed Substrates Distribution at Mandi Darah Island, Sabah
Autor: | Mohd Norsyarizad Razali, Mohd Najib Abdul Ghani Yolhamid, Nazirah Md Tarmizi, Mohd Shukri Mohd Yusop, M.N. Azzeri, Ainul Husna Abdul Rahman |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
biology
Climate change Ocean Engineering Transportation biology.organism_classification Substrate (marine biology) Scuba diving Oceanography Echo sounding Seagrass Habitat Automotive Engineering Environmental science Marine ecosystem Seabed substrate Mandi Darah island Single beam Habitat mapping Acoustic signal RoxAnn GD-X Law Seabed Water Science and Technology |
Zdroj: | Transactions on Maritime Science Volume 10 Issue 02 |
ISSN: | 1848-3313 1848-3305 |
Popis: | Marine ecosystems and natural habitat play the important role of the Earth’s life support system. They significantly contribute to economies and food safety and help preserve ecological processes. However, the devastation of the marine ecosystem in Malaysia due to the human factor and climate change is quite alarming. Therefore, spatial marine information, especially on the distribution of seabed substrates and habitat mapping, are of utmost importance for marine ecosystem management and conservation. Traditionally, seabed substrate and habitat mapping were classified based on direct observation techniques such as photography, video, sampling, coring and scuba diving. These techniques are often limited due to water clarity and weather conditions and only suitable for smaller scale surveys. In this study, we employed an acoustic approach using the RoxAnn Acoustic Ground Discrimination System (AGDS) with a high-frequency single-beam echo sounder to examine the distribution of seabed substrate at the Mandi Darah Island, Sabah. The acoustic signals recorded by AGDS are translated into hardness and roughness indices which are then used to identify the unique characteristics of the recorded seabed types. The analysis has shown that fifteen types of substrates, ranging from silt to rough/some seagrass, have been identified and classified. The findings demonstrated that the acoustic method was a better alternative for seabed substrate determination than the conventional direct observation techniques in terms of cost and time spent, especially in large scale surveys. The seabed substrate dataset from this study could be used as baseline information for the better management and conservation of the marine ecosystem. |
Databáze: | OpenAIRE |
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