Identification

3D imagery reconstruction Acroporidae Coral finder Coral identification Coral reef Favidae Identification Knowhow Application-Reconstructed by 3D Imagery (RIKA-R3DI) Method

Journal

MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829

Informations de publication

Date de publication:
2019
Historique:
received: 30 03 2019
accepted: 04 05 2019
entrez: 14 6 2019
pubmed: 14 6 2019
medline: 14 6 2019
Statut: epublish

Résumé

With an increase on coral reefs vulnerability worldwide, an efficient and an integrated monitoring technique are required. Photographic and video methods are now becoming more attractive rather than conventional technique to optimize diver time. In this research, the level of effectiveness of RIKA-R3DI method was evaluated using Agisoft Photoscan. The method was based on the reconstructed images in three dimensional image assisted by a computer with Agisoft Photoscan to facilitate data processing. This research aims to identify Acroporidae and Favidae as the models of coral reef-building species. The samples were collected from the waters of Beralas Pasir Island, Bintan Regency. Visual engineering was conducted in the form of 3D viewing with attention to the corallite shape and size, as well as the color of the corals. The result was successful in identifying 4 species, i.e. Acropora microphthalma, A. sarmentosa, Favia maritima, F. vietnamensis. The keys benefit of this methodologies are: •The RIKA-R3DI method allows to reduce diving time during direct visual observation.•The method has high accuracy and is non-invasive, since it does not touch directly to the coral.•The application of RIKA-R3DI can be used to identified the coral species and evaluate the coral health status base on the percent coverage.

Identifiants

pubmed: 31193328
doi: 10.1016/j.mex.2019.05.002
pii: S2215-0161(19)30117-7
pmc: PMC6526297
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1084-1100

Auteurs

Rika Kurniawan (R)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.

Aprilia Ariestasari (A)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.

Roiko Sunarwan Silalahi (RS)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.

Ita Karlina (I)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.

Try Febrianto (T)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.

Dedy Kurniawan (D)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.

Viktor Amrifo (V)

Fisheries and Marine Science Faculty - Riau University, Kampus Bina Widya Km 12,5, Simpang Baru, Pekanbaru, 28293, Indonesia.

Muhammad Abrar (M)

Research Center for Oceanography, Indonesian Institute of Sciences, Jl. Pasir Putih I Ancol Timur, 14430, Jakarta Utara, Indonesia.

Agung Dhamar Syakti (AD)

Marine Science and Fisheries Faculty - Raja Ali Haji Maritime University, Jl. Politeknik Senggarang-Tanjungpinang, Riau Islands Province, 29100, Indonesia.
Center for Maritime Biosciences Studies - Institute for Sciences and Community Service, Jenderal Soedirman University, Kampus Karangwangkal, Jl. dr. Suparno, Purwokerto, 53123, Indonesia.

Classifications MeSH