{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T14:47:12Z","timestamp":1774018032231,"version":"3.50.1"},"reference-count":111,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"DREAL (Direction r\u00e9gionale de l\u2019environnement, de l\u2019am\u00e9nagement et du logement)"},{"name":"Regional Council of Brittany (Rebent Network)"},{"name":"Office Fran\u00e7ais de la Biodiversit\u00e9"},{"name":"Agence de l\u2019Eau Loire-Bretagne (European Water Framework Directive and Marine Strategy Framework Directive)"},{"name":"Doctoral School of Marine Sciences (Ecole Doctorale des Sciences de la Mer et du Littoral)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Intertidal macroalgal habitats are major components of temperate coastal ecosystems. Their distribution was studied using field sampling and hyperspectral remote mapping on a rocky shore of Porspoder (western Brittany, France). Covers of both dominating macroalgae and the sessile fauna were characterized in situ at low tide in 24 sampling spots, according to four bathymetric levels. A zone of ca. 17,000 m2 was characterized using a drone equipped with a hyperspectral camera. Macroalgae were identified by image processing using two classification methods to assess the representativeness of spectral classes. Finally, a comparison of the remote imaging data to the field sampling data was conducted. Seven seaweed classes were distinguished by hyperspectral pictures, including five different species of Fucales. The maximum likelihood (MLC) and spectral angle mapper (SAM) were both trained using image-derived spectra. MLC was more accurate to classify the main dominating species (Overall Accuracy (OA) 95.1%) than SAM (OA 87.9%) at a site scale. However, at sampling points scale, the results depend on the bathymetric level. This study evidenced the efficiency and accuracy of hyperspectral remote sensing to evaluate the distribution of dominating intertidal seaweed species and the potential for a combined field\/remote approach to assess the ecological state of macroalgal communities.<\/jats:p>","DOI":"10.3390\/rs14133124","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T22:43:28Z","timestamp":1656542608000},"page":"3124","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Seaweed Habitats on the Shore: Characterization through Hyperspectral UAV Imagery and Field Sampling"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3472-3800","authenticated-orcid":false,"given":"Wendy","family":"Diruit","sequence":"first","affiliation":[{"name":"Univ Brest, CNRS, IRD, Ifremer, LEMAR, 29280 Plouzan\u00e9, France"}]},{"given":"Anthony","family":"Le Bris","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etude et de Valorisation des Algues (CEVA), 22195 Pleubian, France"}]},{"given":"Touria","family":"Bajjouk","sequence":"additional","affiliation":[{"name":"Ifremer, Dynamiques des Ecosyst\u00e8mes C\u00f4tiers (DYNECO)\/Laboratoire d\u2019Ecologie Benthique C\u00f4ti\u00e8re (LEBCO), 29280 Plouzan\u00e9, France"}]},{"given":"Sophie","family":"Richier","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etude et de Valorisation des Algues (CEVA), 22195 Pleubian, France"}]},{"given":"Mathieu","family":"Helias","sequence":"additional","affiliation":[{"name":"Univ Brest, CNRS, IRD, Ifremer, LEMAR, 29280 Plouzan\u00e9, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3887-7660","authenticated-orcid":false,"given":"Thomas","family":"Burel","sequence":"additional","affiliation":[{"name":"Univ Brest, CNRS, IRD, Ifremer, LEMAR, 29280 Plouzan\u00e9, France"}]},{"given":"Marc","family":"Lennon","sequence":"additional","affiliation":[{"name":"Hytech-Imaging, 115 Rue Claude Chappe, 29280 Plouzan\u00e9, France"}]},{"given":"Alexandre","family":"Guyot","sequence":"additional","affiliation":[{"name":"Hytech-Imaging, 115 Rue Claude Chappe, 29280 Plouzan\u00e9, France"}]},{"given":"Erwan","family":"Ar Gall","sequence":"additional","affiliation":[{"name":"Univ Brest, CNRS, IRD, Ifremer, LEMAR, 29280 Plouzan\u00e9, France"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1017\/S0025315420001046","article-title":"Rocky shores as tractable test systems for experimental ecology","volume":"100","author":"Hawkins","year":"2020","journal-title":"J. Mar. Biol. Assoc. UK"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hawkins, S.J., Bohn, K., Firth, L.B., and Williams, G.A. (2019). Interactions in the Marine Benthos, Cambridge University Press.","DOI":"10.1017\/9781108235792"},{"key":"ref_3","unstructured":"Boaventura, D.M. (2000). Patterns of Distribution in Intertidal Rocky Shores: The Role of Grazing and Competition in Structuring Communities, University of Faro."},{"key":"ref_4","unstructured":"Graham, L.E., Graham, J.M., Cook, M.E., and Wilcox, L.W. (2016). Algae, LJLM Press."},{"key":"ref_5","unstructured":"Raffaelli, D.G., and Hawkins, S.J. (1999). Intertidal Ecology, Kluwer Academic Publishers. [2nd ed.]."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.ecolind.2007.04.005","article-title":"Macroalgae, a suitable indicator of the ecological status of coastal rocky communities in the NE Atlantic","volume":"8","author":"Juanes","year":"2008","journal-title":"Ecol. Indic."},{"key":"ref_7","unstructured":"L\u00fcning, K. (1990). Seaweeds: Their Environment, Biogeography, and Ecophysiology, John Wiley & Sons."},{"key":"ref_8","unstructured":"Cabioc\u2019h, J., Floc\u2019h, J.-Y., Le Toquin, A., and Boudouresque, C.F. (2006). Guide des Algues des mers d\u2019Europe, Delachaux & Niestl\u00e9."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.ecss.2013.12.028","article-title":"Development of a quality index to evaluate the structure of macroalgal communities","volume":"139","year":"2014","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ecolind.2015.06.035","article-title":"Implementation of a new index to assess intertidal seaweed communities as bioindicators for the European Water Framework Directory","volume":"60","author":"Sauriau","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_11","first-page":"1","article-title":"Updated check-list of the seaweeds of the French coasts, Channel and Atlantic Ocean","volume":"7","author":"Burel","year":"2019","journal-title":"An Aod-Les Cahiers Naturalistes de l\u2019Observatoire Marin"},{"key":"ref_12","first-page":"89","article-title":"Cartographie de la v\u00e9g\u00e9tation marine dans l\u2019archipel de Mol\u00e8ne (Finist\u00e8re)","volume":"34","year":"1970","journal-title":"Revue des Travaux de l\u2019Institut des P\u00eaches Maritimes"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1080\/01431168908903847","article-title":"T\u00e9l\u00e9d\u00e9tection des algues macrophytes de l\u2019Archipel de Mol\u00e8ne (France) Radiom\u00e8trie de terrain et application aux donn\u00e9es du satellite SPOT","volume":"10","author":"Moussa","year":"1989","journal-title":"Remote Sens."},{"key":"ref_14","unstructured":"Rossi, N., Daniel, C., and Perrot, T. (2021, September 20). Suivi de la Couverture en Macroalgues Intertidales de Substrat dur dans le Cadre du Projet REBENT. Available online: http:\/\/www.rebent.org\/."},{"key":"ref_15","unstructured":"Bajjouk, T. (2021, September 20). Soutien aux Actions NATURA 2000 de la R\u00e9gion Bretagne-Cahier des Charges Pour la Cartographie D\u2019habitats des sites Natura 2000 Littoraux: Guide M\u00e9thodologique; RST\/IFREMER\/DYNECO\/AG\/09-01\/TB\/NATURA2000: 107 p.+ Annexes pp. Available online: https:\/\/wwz.ifremer.fr\/natura2000\/."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.seares.2015.04.004","article-title":"Multi-approach mapping to help spatial planning and management of the kelp species L. digitata and L. hyperborea: Case study of the Mol\u00e8ne Archipelago, Brittany","volume":"100","author":"Bajjouk","year":"2015","journal-title":"J. Sea Res."},{"key":"ref_17","unstructured":"OF (2021, September 20). Hytech Imaging. TBM Environment R\u00e9alisation d\u2019une Cartographie des Habitats Intertidaux de L\u2019archipel de Mol\u00e8ne et de la C\u00f4te Nord du parc. Available online: https:\/\/parc-marin-iroise.fr\/."},{"key":"ref_18","unstructured":"EC Council (2000). Directive for a legislative frame and actions for the water policy, 2000\/60\/EC. Off. J. L, 327, 1\u201373."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/j.ecolind.2008.01.004","article-title":"Comparison of two methods for quality assessment of macroalgae assemblages, under different pollution types","volume":"8","author":"Guinda","year":"2008","journal-title":"Ecol. Indic."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.marenvres.2014.06.002","article-title":"The Quality of Rocky Bottoms index (CFR): A validated method for the assessment of macroalgae according to the European Water Framework Directive","volume":"102","author":"Guinda","year":"2014","journal-title":"Mar. Environ. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ecolind.2011.09.006","article-title":"Marine Macroalgae Assessment Tool (MarMAT) for intertidal rocky shores. Quality assessment under the scope of the European Water Framework Directive","volume":"19","author":"Neto","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_22","unstructured":"Kuhlenkamp, R., Schubert, P., and Bartsch, I. (2022, February 09). Water Framework Directive Monitoring-Component Macrophytobenthos N5 Helgoland, EQR Evaluation 2010. Final Report March 2011. Investigation Period: July 2010 February 2011. MMH-Report 17 for Landesamt f\u00fcr Landwirtschaft, Umwelt und L\u00e4ndliche R\u00e4ume des Landes Schleswig-Holstein; Germany (LLUR-SH). LLUR Reference number: LLUR-AZ 0608.451013. Available online: https:\/\/epic.awi.de\/id\/eprint\/24229\/."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.marpolbul.2006.08.031","article-title":"The use of macroalgal species richness and composition on intertidal rocky seashores in the assessment of ecological quality under the European Water Framework Directive","volume":"55","author":"Wells","year":"2007","journal-title":"Mar. Pollut. Bull."},{"key":"ref_24","unstructured":"Derrien-Courtel, S., and Le Gal, A. (2022, February 09). Suivi des Macroalgues Subtidales de la Fa\u00e7ade Manche-Atlantique-Rapport Final-Convention 2010-Action 5. Available online: https:\/\/archimer.ifremer.fr\/doc\/00036\/14735\/."},{"key":"ref_25","unstructured":"Seckbach, J., Einav, R., and Israel, A. (2010). GIS-Based Environmental Analysis, Remote Sensing, and Niche Modeling of Seaweed Communities BT\u2014Seaweeds and their Role in Globally Changing Environments, Springer."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"4016","DOI":"10.1002\/ece3.774","article-title":"Threats and knowledge gaps for ecosystem services provided by kelp forests: A northeast Atlantic perspective","volume":"3","author":"Smale","year":"2013","journal-title":"Ecol. Evol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"245","DOI":"10.3354\/meps08378","article-title":"Consequences of climate-driven biodiversity changes for ecosystem functioning of North European rocky shores","volume":"396","author":"Hawkins","year":"2009","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"489","DOI":"10.13031\/2013.17170","article-title":"Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming","volume":"41","author":"Senay","year":"1998","journal-title":"Trans. ASAE"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"729","DOI":"10.13031\/2013.24370","article-title":"Yield estimation from hyperspectral imagery using spectral angle mapper (SAM)","volume":"51","author":"Yang","year":"2008","journal-title":"Trans. ASABE"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/BF00409596","article-title":"Feeding capabilities and limitation of herbivorous molluscs: A functional group approach","volume":"68","author":"Steneck","year":"1982","journal-title":"Mar. Biol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"535","DOI":"10.13031\/2013.2733","article-title":"Relationships between remotely sensed reflectance data and cotton growth and yield","volume":"43","author":"Plant","year":"2000","journal-title":"Trans. ASAE"},{"key":"ref_32","unstructured":"Viollier, M., Belsher, T., and Loubersac, L. (1985, January 16\u201320). Signatures spectrales des objets du littoral. Proceedings of the 3th International Colloquium on Spectral Signatures of Objects in Remote Sensing, Les Arcs, France."},{"key":"ref_33","unstructured":"Floc\u2019h, J.-Y. (1967). Cartographie de la V\u00e9g\u00e9tation Marine et Observations \u00c9cologiques dans L\u2019archipel de MOL\u00c8NE (Finist\u00e8re). [Ph.D. Thesis, Universit\u00e9 de Rennes]."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1007\/s00338-003-0367-5","article-title":"Mapping and biomass estimation of the invasive brown algae Turbinaria ornata (Turner) J. Agardh and Sargassum mangarevense (Grunow) Setchell on heterogeneous Tahitian coral reefs using 4-meter resolution IKONOS satellite data","volume":"23","author":"Andrefouet","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Guillaumont, B., Callens, L., and Dion, P. (1993). Spatial distribution and quantification of Fucus species and Ascophyllum nodosum beds in intertidal zones using spot imagery. Fourteenth International Seaweed Symposium, Springer.","DOI":"10.1007\/978-94-011-1998-6_36"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"112020","DOI":"10.1016\/j.rse.2020.112020","article-title":"Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows","volume":"251","author":"Zoffoli","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Bajjouk, T., Guillaumont, B., and Populus, J. (1996). Application of airborne imaging spectrometry system data to intertidal seaweed classification and mapping. Fifteenth International Seaweed Symposium, Springer.","DOI":"10.1007\/978-94-009-1659-3_67"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1002\/aqc.2905","article-title":"A comparison of multispectral aerial and satellite imagery for mapping intertidal seaweed communities","volume":"28","author":"Brodie","year":"2018","journal-title":"Aquat. Conserv. Mar. Freshw. Ecosyst."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1890\/120150","article-title":"Lightweight unmanned aerial vehicles will revolutionize spatial ecology","volume":"11","author":"Anderson","year":"2013","journal-title":"Front. Ecol. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Hamylton, S.M. (2017). Spatial Analysis of Coastal Environments, Cambridge University Press.","DOI":"10.1017\/9781107707412"},{"key":"ref_41","unstructured":"Crawford, C., and Harwin, S. (2018). Reassessment of Intertidal Macroalgal Communities Near to and Distant from Salmon Farms and an Evaluation of Using Drones to Survey Macroalgal Distribution, Fisheries Research and Development Corporation."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Tait, L., Bind, J., Charan-Dixon, H., Hawes, I., Pirker, J., and Schiel, D. (2019). Unmanned Aerial Vehicles (UAVs) for Monitoring Macroalgal Biodiversity: Comparison of RGB and Multispectral Imaging Sensors for Biodiversity Assessments. Remote Sens., 11.","DOI":"10.3390\/rs11192332"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"10259","DOI":"10.1038\/s41598-017-10818-9","article-title":"Applications of unmanned aerial vehicles in intertidal reef monitoring","volume":"7","author":"Murfitt","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"111703","DOI":"10.1117\/1.OE.51.11.111703","article-title":"Hyperspectral classification approaches for intertidal macroalgae habitat mapping: A case study in Heligoland","volume":"51","author":"Oppelt","year":"2012","journal-title":"Opt. Eng."},{"key":"ref_45","unstructured":"Davis, S.M., and Swain, P.H. (1978). Remote Sensing: The Quantitative Approach, McGraw-Hill International Book Company."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Richards, J.A. (1986). Remote Sensing Digital Image Analysis, Springer.","DOI":"10.1007\/978-3-662-02462-1"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"419","DOI":"10.3844\/jcssp.2007.419.423","article-title":"The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis","volume":"3","author":"Shafri","year":"2007","journal-title":"J. Comput. Sci."},{"key":"ref_48","first-page":"67","article-title":"Rapid maximum likelihood classification","volume":"57","author":"Bolstad","year":"1991","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1595","DOI":"10.1002\/aqc.3357","article-title":"Application of multiplatform, multispectral remote sensors for mapping intertidal macroalgae: A comparative approach","volume":"30","author":"Rossiter","year":"2020","journal-title":"Aquat. Conserv. Mar. Freshw. Ecosyst."},{"key":"ref_50","unstructured":"Bartsch, I., Oppelt, N., Bochow, M., Schulze, F., Geisler, T., Eisenhardt, I., Nehring, F., and Heege, T. (2021, September 20). Detection and Quantification of Marine Vegetation by Airborne Hyperspectral Remote Sensing: Case Study Helgoland. Available online: https:\/\/epic.awi.de\/id\/eprint\/25251\/."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.aquabot.2013.06.001","article-title":"Spectral mixture of intertidal marine macroalgae around the island of Helgoland (Germany, North Sea)","volume":"111","author":"Uhl","year":"2013","journal-title":"Aquat. Bot."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1080\/09670269600651521","article-title":"Molecular and morphological characters distinguishing two Porphyra species (Rhodophyta: Bangiophycidae)","volume":"31","author":"Brodie","year":"1996","journal-title":"Eur. J. Phycol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.csr.2013.01.010","article-title":"Assessment of the hyperspectral sensor CASI-2 for macroalgal discrimination on the R\u00eda de Vigo coast (NW Spain) using field spectroscopy and modelled spectral libraries","volume":"55","author":"Casal","year":"2013","journal-title":"Cont. Shelf Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3354\/meps09141","article-title":"Environmental controls of giant-kelp biomass in the Santa Barbara Channel, California","volume":"429","author":"Cavanaugh","year":"2011","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/BF00049033","article-title":"Evaluation of remote sensing techniques for monitoring giant kelp populations","volume":"260","author":"Deysher","year":"1993","journal-title":"Hydrobiologia"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"107835","DOI":"10.1016\/j.ecolind.2021.107835","article-title":"Macroalgal assemblages as indicators of the ecological status of marine coastal systems: A review","volume":"129","author":"Piazzi","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"11503","DOI":"10.1117\/1.2822611","article-title":"Kelp forest mapping by use of airborne hyperspectral imager","volume":"1","author":"Volent","year":"2007","journal-title":"J. Appl. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"106789","DOI":"10.1016\/j.ecss.2020.106789","article-title":"UAV-mounted hyperspectral mapping of intertidal macroalgae","volume":"242","author":"Rossiter","year":"2020","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"106290","DOI":"10.1016\/j.ecss.2019.106290","article-title":"Small-scale effects of hydrodynamics on the structure of intertidal macroalgal communities: A novel approach","volume":"226","author":"Burel","year":"2019","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_60","unstructured":"Eastman, J.R. (2022, April 07). IDRISI Kilimanjaro: Guide to GIS and Image Processing. Available online: https:\/\/www.academia.edu\/24202322."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Carrasco-Escobar, G., Manrique, E., Ruiz-Cabrejos, J., Saavedra, M., Alava, F., Bickersmith, S., Prussing, C., Vinetz, J.M., Conn, J.E., and Moreno, M. (2019). High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. PLoS Negl. Trop. Dis., 13.","DOI":"10.1371\/journal.pntd.0007105"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Congalton, R.G., and Green, K. (1999). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, CRC Press.","DOI":"10.1201\/9781420048568"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0034-4257(01)00295-4","article-title":"Status of land cover classification accuracy assessment","volume":"80","author":"Foody","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"9","DOI":"10.2216\/i0031-8884-16-1-9.1","article-title":"Sea depth effects on the algal photosynthetic apparatus II. An electron microscopic study of the photosynthetic apparatus of Halimeda tuna (Chlorophyta, Siphonales) at \u22120.5 m and \u22126.0 m sea depths","volume":"16","author":"Colombo","year":"1977","journal-title":"Phycologia"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1109\/36.295042","article-title":"Efficient maximum likelihood classification for imaging spectrometer data sets","volume":"32","author":"Jia","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_66","unstructured":"ERDAS Inc (1999). Erdas Field Guide, Erdas Inc."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0034-4257(93)90013-N","article-title":"The spectral image processing system (SIPS)\u2014Interactive visualization and analysis of imaging spectrometer data","volume":"44","author":"Kruse","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_68","unstructured":"Yuhas, R.H., Goetz, A.F.H., and Boardman, J.W. (1992, January 1\u20135). Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm. Proceedings of the JPL, Summaries of the Third Annual JPL Airborne Geoscience Workshop, Pasadena, CA, USA."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"611","DOI":"10.4236\/ijg.2017.84033","article-title":"Accuracy assessment of land use\/land cover classification using remote sensing and GIS","volume":"8","author":"Rwanga","year":"2017","journal-title":"Int. J. Geosci."},{"key":"ref_70","unstructured":"R Core Team (2021). R: A Language and Environment for Statistical Computing, Foundation for Statistical Computing. Available online: https:\/\/www.R-project.org\/."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"2627","DOI":"10.1016\/j.dsr2.2008.07.012","article-title":"Meiofaunal community structure of the deep-sea Gulf of Mexico: Variability due to the sorting methods","volume":"55","author":"Legendre","year":"2008","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1080\/01431160412331291233","article-title":"Land cover update by supervised classification of segmented ASTER images","volume":"26","author":"Borges","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Jones, C.G., Lawton, J.H., and Shachak, M. (1994). Organisms as ecosystem engineers. Ecosystem Management, Springer.","DOI":"10.1007\/978-1-4612-4018-1_14"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.jembe.2017.01.017","article-title":"The role of kelp species as biogenic habitat formers in coastal marine ecosystems","volume":"492","author":"Teagle","year":"2017","journal-title":"J. Exp. Mar. Bio. Ecol."},{"key":"ref_75","unstructured":"Belsher, T. (2021, September 20). Apport du Satellite SPOT \u00e0 la Cartographie des V\u00e9g\u00e9taux Marins. Halieutique, Oc\u00e9anographie T\u00e9l\u00e9d\u00e9tection Contrib. Fran\u00e7aise aux Colloq. Fr. Th\u00e8me T\u00e9l\u00e9d\u00e9tection, 3\u201313 Octobre 1988, Tokyo Shimizu, Japan. Available online: https:\/\/horizon.documentation.ird.fr\/exl-doc\/pleins_textes\/divers20-07\/31498.pdf#page=65."},{"key":"ref_76","unstructured":"Bell, T.W., Allen, J.G., Cavanaugh, K.C., and Siegel, D.A. (2011, January 5\u20139). Three decades of variability in California\u2019s giant kelp forests from the Landsat satellites. Proceedings of the AGU Fall Meeting Abstracts, San Francisco, CA, USA."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.ecss.2018.08.020","article-title":"What\u2019s a picture really worth? On the use of drone aerial imagery to estimate intertidal rocky shore mussel demographic parameters","volume":"213","author":"Gomes","year":"2018","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_78","unstructured":"Barbosa, R.V. (2022, March 08). Assessing the Effect of Microhabitat Features on the Dynamics of a Benthic Intertidal Species: Use of Remote Sensing and Biophysical Modeling. Universit\u00e9 de Bretagne Occidentale. Available online: http:\/\/www.theses.fr\/s210110."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Brunier, G., Oiry, S., Gruet, Y., Dubois, S.F., and Barill\u00e9, L. (2022). Topographic Analysis of Intertidal Polychaete Reefs (Sabellaria alveolata) at a Very High Spatial Resolution. Remote Sens., 14.","DOI":"10.3390\/rs14020307"},{"key":"ref_80","unstructured":"Connan, S. (2004). Etude de la Diversit\u00e9 Sp\u00e9cifique des Macroalgues de la Pointe de Bretagne et Analyse des Compos\u00e9s Ph\u00e9noliques des Ph\u00e9ophyc\u00e9es Dominantes. [Ph.D. Thesis, Universit\u00e9 de Bretagne Occidentale]."},{"key":"ref_81","unstructured":"Burel, T. (2020). Effet de L\u2019hydrodynamisme sur la Structure des Communaut\u00e9s Macroalgales et sur les Interactions Macroflore\/Macrofaune en Zone Intertidale. [Ph.D. Thesis, Universit\u00e9 de Bretagne Occidentale]."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Douay, F., Verpoorter, C., Duong, G., Spilmont, N., and Gevaert, F. (2022). New Hyperspectral Procedure to Discriminate Intertidal Macroalgae. Remote Sens., 14.","DOI":"10.3390\/rs14020346"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Olmedo-Masat, O.M., Raffo, M.P., Rodr\u00edguez-P\u00e9rez, D., Arij\u00f3n, M., and S\u00e1nchez-Carnero, N. (2020). How Far Can We Classify Macroalgae Remotely? An Example Using a New Spectral Library of Species from the South West Atlantic (Argentine Patagonia). Remote Sens., 12.","DOI":"10.3390\/rs12233870"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.ecss.2006.06.026","article-title":"Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries","volume":"70","author":"Kutser","year":"2006","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1016\/j.rse.2009.04.007","article-title":"Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study","volume":"113","author":"Zhou","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"259","DOI":"10.2216\/i0031-8884-37-4-259.1","article-title":"Seasonal variation in the pigment content and photosynthesis of different thallus regions of Ascophyllum nodosum (Fucales, Phaeophyta) in relation to position in the canopy","volume":"37","author":"Stengel","year":"1998","journal-title":"Phycologia"},{"key":"ref_87","first-page":"213","article-title":"Seasonal growth and recruitment of Himanthalia elongata (Fucales, Phaeophycota) in different habitats on the Irish west coast","volume":"34","author":"Stengel","year":"1999","journal-title":"Eur. J. Phycol."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"2523","DOI":"10.1007\/s10811-019-01989-1","article-title":"Wave height vs. elevation effect on macroalgal dominated shores: An intercommunity study","volume":"32","author":"Burel","year":"2020","journal-title":"J. Appl. Phycol."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1080\/10106049.2012.668950","article-title":"Spectral angle mapper and object-based classification combined with hyperspectral remote sensing imagery for obtaining land use\/cover mapping in a Mediterranean region","volume":"28","author":"Petropoulos","year":"2013","journal-title":"Geocarto Int."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1080\/10106049.2017.1333531","article-title":"Object- and pixel-based classifications of macroalgae farming area with high spatial resolution imagery","volume":"33","author":"Zheng","year":"2017","journal-title":"Geocarto Int."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1080\/01431161003743173","article-title":"Assessing object-based classification: Advantages and limitations","volume":"1","author":"Liu","year":"2010","journal-title":"Remote Sens. Lett."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"111630","DOI":"10.1016\/j.rse.2019.111630","article-title":"Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification","volume":"239","author":"Foody","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Hobley, B., Arosio, R., French, G., Bremner, J., Dolphin, T., and Mackiewicz, M. (2021). Semi-Supervised Segmentation for Coastal Monitoring Seagrass Using RPA Imagery. Remote Sens., 13.","DOI":"10.20944\/preprints202103.0780.v1"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1604","DOI":"10.1080\/2150704X.2015.1019015","article-title":"Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data","volume":"36","author":"Kumar","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_95","first-page":"S27","article-title":"Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms","volume":"12","author":"Otukei","year":"2010","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1098","DOI":"10.1080\/10106049.2018.1474272","article-title":"Remote sensing mapping of macroalgal farms by modifying thresholds in the classification tree","volume":"34","author":"Zheng","year":"2019","journal-title":"Geocarto Int."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Chen, J., Li, X., Wang, K., Zhang, S., Li, J., and Sun, M. (2022). Assessment of intertidal seaweed biomass based on RGB imagery. PLoS ONE, 17.","DOI":"10.1371\/journal.pone.0263416"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"1472","DOI":"10.1016\/j.marpolbul.2005.06.014","article-title":"Long-term decline of the populations of Fucales (Cystoseira spp. and Sargassum spp.) in the Alb\u00e8res coast (France, North-western Mediterranean)","volume":"50","author":"Thibaut","year":"2005","journal-title":"Mar. Pollut. Bull."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1111\/ddi.12733","article-title":"High climate velocity and population fragmentation may constrain climate-driven range shift of the key habitat former Fucus vesiculosus","volume":"24","author":"Jonsson","year":"2018","journal-title":"Divers. Distrib."},{"key":"ref_100","first-page":"162","article-title":"Les patelles (Patella vulgata L.), agents de la destruction de la couverture algale des estrans rocheux du Golfe du Morbihan","volume":"30","year":"2008","journal-title":"Bull. De La Soci\u00e9t\u00e9 Des Sci. Nat. De L\u2019ouest De La Fr."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"65","DOI":"10.3354\/meps12620","article-title":"Warming temperatures alter the relative abundance and distribution of two co-occurring foundational seagrasses in Chesapeake Bay, USA","volume":"599","author":"Richardson","year":"2018","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"84","DOI":"10.3389\/fmars.2019.00084","article-title":"Local extinction of bull kelp (Durvillaea spp.) due to a marine heatwave","volume":"6","author":"Thomsen","year":"2019","journal-title":"Front. Mar. Sci."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"6457","DOI":"10.1111\/gcb.15273","article-title":"Geographic variation in responses of kelp forest communities of the California Current to recent climatic changes","volume":"26","author":"Micheli","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.1111\/nph.16107","article-title":"Impacts of ocean warming on kelp forest ecosystems","volume":"225","author":"Smale","year":"2020","journal-title":"New Phytol."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1111\/j.1526-100X.2010.00684.x","article-title":"Exploring the utility of hyperspectral imagery and LiDAR data for predicting Quercus garryana ecosystem distribution and aiding in habitat restoration","volume":"19","author":"Jones","year":"2011","journal-title":"Restor. Ecol."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.ecss.2015.07.034","article-title":"Mapping estuarine habitats using airborne hyperspectral imagery, with special focus on seagrass meadows","volume":"164","author":"Valle","year":"2015","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_107","unstructured":"Israel, A., Einav, R., Seckbach, J., Israel, A., Einav, R., and Seckbach, J. (2010). Seaweeds and Their Role in Globally Changing Environments, Springer Science & Business Media."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"95","DOI":"10.3354\/meps13450","article-title":"Modelling the annual primary production of an intertidal brown algal community based on in situ measurements","volume":"656","author":"Bordeyne","year":"2020","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"1146","DOI":"10.1111\/j.1529-8817.2008.00569.x","article-title":"Benthic metabolism on a sheltered rocky shore: Role of the canopy in the carbon budget","volume":"44","author":"Davoult","year":"2008","journal-title":"J. Phycol."},{"key":"ref_110","unstructured":"Dugdale, S.J. (2007). An Evaluation of Imagery from an Unmanned Aerial Vehicle (UAV) for the Mapping of Intertidal Macroalgae on Seal Sands, Tees Estuary, UK. [Master\u2019s Thesis, Durham University]."},{"key":"ref_111","unstructured":"Ben Moussa, H. (2022, January 24). Contribution de la T\u00e9l\u00e9d\u00e9tection Satellitaire \u00e0 la Cartographie des V\u00e9g\u00e9taux Marins: Archipel de Mol\u00e8ne (Bretagne\/France). Available online: https:\/\/archimer.ifremer.fr\/doc\/00104\/21524\/."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/13\/3124\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:40:22Z","timestamp":1760139622000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/13\/3124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":111,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["rs14133124"],"URL":"https:\/\/doi.org\/10.3390\/rs14133124","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]}}}