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1000 Titel
  • Can black coral forests be detected using multibeam echosounder “multi-detect” data?
1000 Autor/in
  1. Feldens, Peter |
  2. Held, Philipp |
  3. Otero-Ferrer, Francisco |
  4. Bramanti, Lorenzo |
  5. Espino, Fernando |
  6. Schneider von Deimling, Jens |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-02-22
1000 Erschienen in
1000 Quellenangabe
  • 4:988366
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/frsen.2023.988366 |
1000 Ergänzendes Material
  • https://www.frontiersin.org/articles/10.3389/frsen.2023.988366/full#h12 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The black coral Anthipatella wollastoni forms marine animal forests in the mesophotic zone. The spatial extent of black coral forests is not well known in many regions. Due to its protein and chitin skeleton, the coral is difficult to image using acoustic remote sensing techniques compared to corals with carbonate skeletons. Several manufacturers have recently introduced an additional data type to their multibeam echosounders, called “multi-detection,” which provides additional target detections per beam in addition to the primary bottom detection. In this study, we used a Norbit chirp multibeam echosounder in multi-detect mode to acquire up to three targets in each beam in an area of black coral below 45 m depth off the coast of Lanzarote (Canary Islands, Spain). Multi-detect allows features above and below the primary bottom detection to be identified without the need to store and process water-column data. Black coral can be detected by comparing “multi-detection” data with ground truthing by technical divers and underwater cameras. However, the repeatability of the detections is limited and further sensitivity studies are required.
1000 Sacherschließung
lokal multibeam echo sounders
lokal marine animal forests
lokal habitat mapping
lokal Lanzarote
lokal multi-detect
lokal Anthipatella wollastoni
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RmVsZGVucywgUGV0ZXI=|https://frl.publisso.de/adhoc/uri/SGVsZCwgUGhpbGlwcA==|https://frl.publisso.de/adhoc/uri/T3Rlcm8tRmVycmVyLCBGcmFuY2lzY28=|https://frl.publisso.de/adhoc/uri/QnJhbWFudGksIExvcmVuem8=|https://frl.publisso.de/adhoc/uri/RXNwaW5vLCBGZXJuYW5kbw==|https://frl.publisso.de/adhoc/uri/U2NobmVpZGVyIHZvbiBEZWltbGluZywgSmVucw==
1000 Label
1000 Förderer
  1. European Union |
  2. Office Français de la Biodiversité |
  3. Agence Française de Développement |
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1000 Dateien
1000 Förderung
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    1000 Förderer European Union |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Office Français de la Biodiversité |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Agence Française de Développement |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6475445.rdf
1000 Erstellt am 2024-04-30T08:41:06.265+0200
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1000 Zuletzt bearbeitet Tue Apr 30 08:42:53 CEST 2024
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