{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T13:30:18Z","timestamp":1793194218769,"version":"4.5.0"},"reference-count":68,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T00:00:00Z","timestamp":1685059200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union\u2019s LIFE program","award":["LIFE15 IPE ES 012"],"award-info":[{"award-number":["LIFE15 IPE ES 012"]}]},{"name":"Biodiversity Foundation of the Ministry for Ecological Transition and Demographic Challenge","award":["LIFE15 IPE ES 012"],"award-info":[{"award-number":["LIFE15 IPE ES 012"]}]},{"name":"European Maritime and Fisheries Fund","award":["LIFE15 IPE ES 012"],"award-info":[{"award-number":["LIFE15 IPE ES 012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Gorgonians play a fundamental role in the deep sea (below 200 m depth), composing three-dimensional habitats that are characterized by a high associated biodiversity and playing an important part in biogeochemical cycles. Here we describe the use of a benthic lander to monitoring polyps activity, used as a proxy of gorgonian feeding activity of three colonies of Placogorgia sp. Images cover a period of 22 days with a temporal resolution of 30 min. In addition, this seafloor observatory is instrumented with oceanographic sensors that allows continuous monitoring of the hydrographic conditions in the site. Deep-learning is used for automatic detection of the state of the polyps registered in the images. More than 1000 images of 3 large specimens of gorgonians are analyzed, annotating polyps as extended or retracted, using the semantic segmentation algorithm ConvNeXt. The segmentation results are used to describe the feeding patterns of this species. Placogorgia sp. shows a daily pattern of feeding conduct, depending on the hours of day and night. Using a Singular Spectrum Analysis approach, feeding activity is related to currents dynamics and Acoustic Doppler Current Profile (ADCP) return signal intensity, as proxy of suspended matter, achieving a linear correlation of 0.35 and 0.11 respectively. This is the first time that the behavior of the Placogorgia polyps, directly related to their feeding process, is described.<\/jats:p>","DOI":"10.3390\/rs15112777","type":"journal-article","created":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T16:17:33Z","timestamp":1685204253000},"page":"2777","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Describing Polyps Behavior of a Deep-Sea Gorgonian, Placogorgia sp., Using a Deep-Learning Approach"],"prefix":"10.3390","volume":"15","author":[{"given":"Elena","family":"Prado","sequence":"first","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0339-7539","authenticated-orcid":false,"given":"Alberto","family":"Abad-Uribarren","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rub\u00e9n","family":"Ramo","sequence":"additional","affiliation":[{"name":"Complutum Tecnolog\u00edas de la Informaci\u00f3n Geogr\u00e1fica (COMPLUTIG), Calle Colegios, 2, 28801 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergio","family":"Sierra","sequence":"additional","affiliation":[{"name":"Complutum Tecnolog\u00edas de la Informaci\u00f3n Geogr\u00e1fica (COMPLUTIG), Calle Colegios, 2, 28801 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C\u00e9sar","family":"Gonz\u00e1lez-Pola","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Av. del Pr\u00edncipe de Asturias, 70 Bis, 33212 Gij\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7725-4055","authenticated-orcid":false,"given":"Javier","family":"Cristobo","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Av. del Pr\u00edncipe de Asturias, 70 Bis, 33212 Gij\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pilar","family":"R\u00edos","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Av. del Pr\u00edncipe de Asturias, 70 Bis, 33212 Gij\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roc\u00edo","family":"Gra\u00f1a","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Av. del Pr\u00edncipe de Asturias, 70 Bis, 33212 Gij\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eneko","family":"Aierbe","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Av. del Pr\u00edncipe de Asturias, 70 Bis, 33212 Gij\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan Manuel","family":"Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristina","family":"Rodr\u00edguez-Cabello","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Larissa","family":"Modica","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4626-3194","authenticated-orcid":false,"given":"Augusto","family":"Rodr\u00edguez-Basalo","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco","family":"S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Santander, Instituto Espa\u00f1ol de Oceanograf\u00eda (IEO-CSIC), Promontorio San Martin s\/n, 39004 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Rossi, S., Bramanti, L., Gori, A., and Orejas, C. (2017). Marine Animal Forests: The Ecology of Benthic Biodiversity Hotspots, Springer.","DOI":"10.1007\/978-3-319-21012-4"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1111\/j.1439-0485.2010.00359.x","article-title":"Biological structures as a source of habitat heterogeneity and biodiversity on the deep ocean margins","volume":"31","author":"Vanreusel","year":"2010","journal-title":"Mar. Ecol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1016\/j.biocon.2010.04.009","article-title":"Deep-water corals promote higher diversity in deep-sea meiofaunal assemblages along continental margins","volume":"143","author":"Bongiorni","year":"2010","journal-title":"Biol. Conserv."},{"key":"ref_4","unstructured":"Hourigan, T.F., Etnoyer, P.J., and Cairns, S.D. (2017). The State of DeepSea Coral and Sponge Ecosystems of the United States, NOAA. NOAA Technical Memorandum NMFS-OHC-4."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"105105","DOI":"10.1016\/j.ocecoaman.2020.105105","article-title":"Evidences of fishing impact on the coastal gorgonian forests in-side the Portofino MPA (NW Mediterranean Sea)","volume":"187","author":"Betti","year":"2020","journal-title":"Ocean. Coast. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1139\/F08-195","article-title":"Ages and growth rates of some dep-sea gorgonians and antipatharian corals of Newfoundland and Labrador","volume":"66","author":"Sherwood","year":"2009","journal-title":"Can. J. Fish. Aquat. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"13550","DOI":"10.1038\/s41598-019-49797-4","article-title":"The importance of coastal gorgonians in the blue carbon budget","volume":"9","author":"Coppari","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/S0169-5347(98)01365-2","article-title":"Benthic suspension feeders: Their paramount role in littoral marine food webs","volume":"13","author":"Gili","year":"1998","journal-title":"Trends. Ecol. Evol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"e7076","DOI":"10.7717\/peerj.7076","article-title":"Polyp expansion of passive suspension feeders: A red coral case study","volume":"7","author":"Rossi","year":"2019","journal-title":"PeerJ"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"257","DOI":"10.3354\/meps115257","article-title":"Feeding and prey capture cycles in the aposymbiontic gorgonian Paramuricea clavata","volume":"115","author":"Coma","year":"1994","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_11","unstructured":"Fabricius, K., and Alderslade, P. (2001). Soft Corals and Sea Fans\u2014A Comprehensive Guide to the Tropical Shallow-Water Genera of the Central-West Pacific, the Indian Ocean and the Red Sea, Australian Institute of Marine Science."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"105","DOI":"10.3354\/meps250105","article-title":"The role of the small planktonic communities in the diet of two Antarctic octocorals (Primnoisis antarctica and Primnoella sp.)","volume":"250","author":"Orejas","year":"2003","journal-title":"MEPS"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/BF00942116","article-title":"Zooplankton capture by two scleractinian corals, Madracis mirabilis and Montastrea cavernosa, in a field enclosure","volume":"127","author":"Sebens","year":"1996","journal-title":"Mar. Biol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"136","DOI":"10.2307\/1539674","article-title":"On the orientation of sea fans (Genus Gorgonia)","volume":"136","author":"Wainwright","year":"1969","journal-title":"Biol. Bull."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"185","DOI":"10.4319\/lo.1972.17.2.0185","article-title":"Orientation and growth form of sea fans","volume":"17","author":"Grigg","year":"1972","journal-title":"Limnol. Oceanogr."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1038\/322059a0","article-title":"Corals on seamount peaks provide evidence of current acceleration over deep-sea topography","volume":"322","author":"Genin","year":"1986","journal-title":"Nature"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/0022-0981(91)90151-L","article-title":"Drag-induced deformation: A functional feeding strategy in two species of gorgonians","volume":"148","author":"Sponaugle","year":"1991","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/0022-0981(91)90152-M","article-title":"Flow patterns and velocities around a suspension-feeding gorgonian polyp: Evidence from physical models","volume":"148","author":"Sponaugle","year":"1991","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/0022-0981(93)90207-5","article-title":"The effects of flow on feeding of three gorgonians from southern Taiwan","volume":"173","year":"1993","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1175\/JTECH-D-19-0139.1","article-title":"Automated Activity Estimation of the Cold-Water Coral Lophelia pertusa by Multispectral Imaging and Computational Pixel Classification","volume":"38","author":"Liu","year":"2021","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Osterloff, J., Nilssen, I., J\u00e4rnegren, J., Buhl-Mortensen, P., and Nattkemper, T.W. (2016, January 4). Polyp Activity Estimation and Monitoring for Cold Water Corals with a Deep Learning Approach. Proceedings of the 2016 ICPR 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI), Cancun, Mexico.","DOI":"10.1109\/CVAUI.2016.013"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"6578","DOI":"10.1038\/s41598-019-41275-1","article-title":"Computer vision enables short and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory","volume":"9","author":"Osterloff","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zuazo, A., Griny\u00f3, J., L\u00f3pez-V\u00e1zquez, V., Rodr\u00edguez, E., Costa, C., Ortenzi, L., Fl\u00f6gel, S., Valencia, J., Marini, S., and Zhang, G. (2020). An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions. Sensors, 20.","DOI":"10.3390\/s20216281"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"20221033","DOI":"10.1098\/rspb.2022.1033","article-title":"Phenology in the deep sea: Seasonal and tidal feeding rhythms in a keystone octocoral","volume":"289","author":"Girard","year":"2022","journal-title":"Proc. R. Soc. B"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ecoinf.2017.02.007","article-title":"Modeling Polyp Activity of Paragorgia arborea Using Supervised Learning","volume":"39","author":"Johanson","year":"2017","journal-title":"Ecol. Inform."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"104052","DOI":"10.1016\/j.marpol.2020.104052","article-title":"Ecological video monitoring of Marine Protected Areas by underwater cabled surveillance cameras","volume":"119","author":"Aguzzi","year":"2020","journal-title":"Mar. Policy"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"108078","DOI":"10.1016\/j.ecss.2022.108078","article-title":"Faunal behavior in response to near bottom water dynamics in a marine protected area (Cantabrian Sea, southern Bay of Biscay)","volume":"277","author":"Prado","year":"2022","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"45","DOI":"10.21014\/acta_imeko.v7i2.544","article-title":"Using a benthic lander to explore and monitor vulnerable ecosystems in the Mediterranean Sea","volume":"7","author":"Capezzuto","year":"2018","journal-title":"ACTA IMEKO"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Beijbom, O., Edmunds, P.J., Kline, D., Mitchell, B.G., and Kriegman, D. (2012, January 16\u201321). Automated annotation of coral reef survey images. Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA.","DOI":"10.1109\/CVPR.2012.6247798"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G., and Fisher, R. (2016, January 19\u201323). Automatic annotation of coral reefs using deep learning. Proceedings of the OCEANS 2016 MTS\/IEEE Monterey, Monterey, CA, USA.","DOI":"10.1109\/OCEANS.2016.7761105"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"106823","DOI":"10.1016\/j.dib.2021.106823","article-title":"A fully-annotated imagery dataset of sublittoral benthic species in Svalbard","volume":"35","author":"Olenin","year":"2021","journal-title":"Arct. Data Brief"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Wicaksono, P., Aryaguna, P.A., and Lazuardi, W. (2019). Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms. Remote Sens., 11.","DOI":"10.3390\/rs11111279"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Al-AbdulKader, K.A., Farrand, W.H., and Blundell, J.S. (2002, January 20\u201322). Marine Habitat Mapping Using High Spatial Resolution Multispectral Satellite Data. Proceedings of the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production, Kuala Lumpur, Malaysia.","DOI":"10.2118\/74026-MS"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"106595","DOI":"10.1016\/j.margeo.2021.106595","article-title":"Benthic habitat mapping from a machine learning perspective on the Cape St Francis inner shelf, Eastern Cape, South Africa","volume":"440","author":"Pillay","year":"2021","journal-title":"Mar. Geol."},{"key":"ref_35","first-page":"107957","article-title":"Deep learning-assisted high resolution mapping of vulnerable habitats within the Capbreton Canyon System, Bay of Biscay","volume":"75","author":"Prado","year":"2022","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Liu, F., and Fang, M. (2020). Semantic Segmentation of Underwater Images Based on Improved Deeplab. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8030188"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Islam, M.J., Edge, C., Xiao, Y., Luo, P., Mehtaz, M., Morse, C., Enan, S.S., and Sattar, J. (2020\u201324, January 24). Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. Proceedings of the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA.","DOI":"10.1109\/IROS45743.2020.9340821"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"King, A., Bhandarkar, S.M., and Hopkinson, B.M. (2018, January 18\u201322). A Comparison of Deep Learning Methods for Semantic Segmentation of Coral Reef Survey Images. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Salt Lake City, UT, USA.","DOI":"10.1109\/CVPRW.2018.00188"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Purser, A. (2015). A Time Series Study of Lophelia pertusa and Reef Megafauna Responses to Drill Cuttings Exposure on the Norwegian Margin. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0134076"},{"key":"ref_40","unstructured":"BOE (2011). Real Decreto 1629\/2011, de 14 de Noviembre, por el que se Declara Como \u00c1rea Marina Protegida y como Zona Especial de Conservaci\u00f3n el Espacio Marino de El Cachucho, y se Aprueban las Correspondientes Medidas de Conservaci\u00f3n."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.dsr.2011.10.001","article-title":"Circulation patterns at Le Danois Bank, an elongated shelf-adjacent seamount in the Bay of Biscay","volume":"60","author":"Mohn","year":"2012","journal-title":"Deep Sea Res. I Oceanogr. Res. Pap."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.jmarsys.2007.04.008","article-title":"Habitat characteristics as determinant of the structure and spatial distribution of epibenthic and demersal communities of Le Danois Bank (Cantabrian Sea, N. Spain)","volume":"72","author":"Serrano","year":"2008","journal-title":"J. Mar. Syst."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"16883","DOI":"10.3390\/rs71215859","article-title":"Accuracy and Precision of Habitat Structural Complexity Metrics Derived from Underwater Photogrammetry","volume":"7","author":"Figueira","year":"2015","journal-title":"Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1007\/s00338-019-01827-3","article-title":"Using 3D photogrammetry from ROV video to quantify cold-water coral reef structural complexity and investigate its influence on biodiversity and community assemblage","volume":"38","author":"Price","year":"2019","journal-title":"Coral Reefs"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Fukunaga, A., Burns, J.H.R., Pascoe, K.H., and Kosaki, R.K. (2020). Associations between benthic cover and habitat complexity metrics obtained from 3d reconstruction of coral reefs at different resolutions. Remote Sens., 12.","DOI":"10.3390\/rs12061011"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Palma, M., Rivas-Casado, M., Pantaleo, U., Pavoni, G., Pica, D., and Cerrano, C. (2018). SfMbased method to assess gorgonian forests (Paramuricea clavata (Cnidaria, octocorallia)). Remote Sens., 10.","DOI":"10.3390\/rs10071154"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"103124","DOI":"10.1016\/j.dsr.2019.103124","article-title":"Analysis of the population structure of a gorgonian forest (Placogorgia sp.) using a photogrammetric 3D modeling approach at Le Danois Bank, Cantabrian Sea","volume":"153","author":"Prado","year":"2019","journal-title":"Deep. Sea Res. Part I Oceanogr. Res. Pap."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"S3","DOI":"10.1007\/s12518-019-00263-w","article-title":"Detecting change in coral reef 3D structure using underwater photogrammetry: Critical issues and performance metrics","volume":"12","author":"Rossi","year":"2020","journal-title":"Appl. Geomat."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1111\/2041-210X.13388","article-title":"A quick, easy and non-invasive method to quantify coral growth rates using photogrammetry and 3D model comparisons","volume":"11","author":"Lange","year":"2020","journal-title":"Methods Ecol. Evol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1007\/s00338-016-1471-7","article-title":"In situ growth rates of deep-water octocorals determined from 3d photogrammetric reconstructions","volume":"35","author":"Bennecke","year":"2016","journal-title":"Coral Reefs"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"16737","DOI":"10.1038\/s41598-017-16408-z","article-title":"3D photogrammetry quantifies growth and external erosion of individual coral colonies and skeletons","volume":"7","author":"Ferrari","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"304","DOI":"10.3389\/fmars.2020.00304","article-title":"A Comparison of the Diagnostic Accuracy of in-situ and Digital Image-Based Assessments of Coral Health and Disease","volume":"7","author":"Burns","year":"2020","journal-title":"Front. Mar. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"612613","DOI":"10.3389\/fmars.2021.612613","article-title":"In situ growth rate assessment of the hexactinellid sponge Asconema setubalense using 3D photogrammetric reconstruction","volume":"8","author":"Prado","year":"2021","journal-title":"Front. Mar. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Gonzalez-Pola, C., S\u00e1nchez, F., Rodriguez Cobo, L., Gra\u00f1a, R., Rodriguez, J.M., Valdiande-Gutierrez, J., Hernandez-Urbieta, D., and Aierbe, E. (2022, January 23\u201327). LanderPick, a Remote Operated Trawled Vehicle to cost-effectively deploy and recover lightweight oceanographic landers. Proceedings of the EGU General Assembly 2022, Vienna, Austria. EGU22-11921.","DOI":"10.5194\/egusphere-egu22-11921"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Liu, Z., Mao, H., Wu, C.Y., Feichtenhofer, C., Darrell, T., and Xie, S. (2022, January 18\u201324). A convnet for the 2020s. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA.","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Fletcher, S., and Islam, M.Z. (2018). Comparing sets of patterns with the Jaccard index. Australas. J. Inf. Syst., 22.","DOI":"10.3127\/ajis.v22i0.1538"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"6707328","DOI":"10.1155\/2020\/6707328","article-title":"Underwater Image Processing and Object Detection Based on Deep CNN Method","volume":"2020","author":"Han","year":"2020","journal-title":"J. Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"113696","DOI":"10.1016\/j.eswa.2020.113696","article-title":"Improving Classification Accuracy Using Data Augmentation on Small Data Sets","volume":"161","author":"Jerez","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., and Hu, Q. (2020, January 13\u201319). ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. Proceedings of the 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.neucom.2018.03.080","article-title":"Overfitting Remedy by Sparsifying Regularization on Fully-Connected Layers of CNNs","volume":"328","author":"Xu","year":"2019","journal-title":"Neurocomputing"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Golyandina, N., and Zhigljavsky, A. (2013). Singular Spectrum Analysis for Time Series, Springer.","DOI":"10.1007\/978-3-642-34913-3"},{"key":"ref_62","unstructured":"Zhigljavsky, A. (2010). Statistics and Its Interface, Special Issue on the Singular Spectrum Analysis for Time Series, Springer."},{"key":"ref_63","unstructured":"Cheng, D. (2014). Time Series Decomposition Using Singular Spectrum Analysis. [Master\u2019s Thesis, East Tennessee State University]. Paper 2352."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v067.i02","article-title":"Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package","volume":"67","author":"Golyandina","year":"2015","journal-title":"J. Stat. Softw."},{"key":"ref_65","unstructured":"R Core Team (2018). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing. Available online: https:\/\/www.R-project.org\/."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.knosys.2015.01.010","article-title":"Transfer learning using computational intelligence: A survey","volume":"80","author":"Lu","year":"2015","journal-title":"Knowl. Based Syst."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.jembe.2016.04.002","article-title":"The effect of flow speed and food size on the capture efficiency and feeding behaviour of the cold-water coral Lophelia pertusa","volume":"481","author":"Orejas","year":"2016","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"93","DOI":"10.3354\/meps10152","article-title":"Trophic ecology of seven Antarctic gorgonian species","volume":"477","author":"Rossi","year":"2013","journal-title":"MEPS"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/11\/2777\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:42:53Z","timestamp":1760125373000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/11\/2777"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,26]]},"references-count":68,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["rs15112777"],"URL":"https:\/\/doi.org\/10.3390\/rs15112777","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,26]]}}}