{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T14:47:09Z","timestamp":1774018029064,"version":"3.50.1"},"reference-count":83,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The recent development and miniaturization of hyperspectral sensors embedded in drones has allowed the acquisition of hyperspectral images with high spectral and spatial resolution. The characteristics of both the embedded sensors and drones (viewing angle, flying altitude, resolution) create opportunities to consider the use of hyperspectral imagery to map and monitor macroalgae communities. In general, the overflight of the areas to be mapped is conconmittently associated accompanied with measurements carried out in the field to acquire the spectra of previously identified objects. An alternative to these simultaneous acquisitions is to use a hyperspectral library made up of pure spectra of the different species in place, that would spare field acquisition of spectra during each flight. However, the use of such a technique requires developed appropriate procedure for testing the level of species classification that can be achieved, as well as the reproducibility of the classification over time. This study presents a novel classification approach based on the use of reflectance spectra of macroalgae acquired in controlled conditions. This overall approach developed is based on both the use of the spectral angle mapper (SAM) algorithm applied on first derivative hyperspectral data. The efficiency of this approach has been tested on a hyperspectral library composed of 16 macroalgae species, and its temporal reproducibility has been tested on a monthly survey of the spectral response of different macro-algae species. In addition, the classification results obtained with this new approach were also compared to the results obtained through the use of the most recent and robust procedure published. The classification obtained shows that the developed approach allows to perfectly discriminate the different phyla, whatever the period. At the species level, the classification approach is less effective when the individuals studied belong to phylogenetically close species (i.e., Fucus spiralis and Fucus serratus).<\/jats:p>","DOI":"10.3390\/rs14020346","type":"journal-article","created":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T23:17:07Z","timestamp":1642029427000},"page":"346","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["New Hyperspectral Procedure to Discriminate Intertidal Macroalgae"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6241-5012","authenticated-orcid":false,"given":"Florian","family":"Douay","sequence":"first","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anologie et de G\u00e9osciences\u2014UMR 8187 LOG, Universit\u00e9 Lille, CNRS, Universit\u00e9 Littoral C\u00f4te d\u2019Opale, 59000 Lille, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5134-4124","authenticated-orcid":false,"given":"Charles","family":"Verpoorter","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anologie et de G\u00e9osciences\u2014UMR 8187 LOG, Universit\u00e9 Lille, CNRS, Universit\u00e9 Littoral C\u00f4te d\u2019Opale, 59000 Lille, France"}]},{"given":"Gwendoline","family":"Duong","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anologie et de G\u00e9osciences\u2014UMR 8187 LOG, Universit\u00e9 Lille, CNRS, Universit\u00e9 Littoral C\u00f4te d\u2019Opale, 59000 Lille, France"}]},{"given":"Nicolas","family":"Spilmont","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anologie et de G\u00e9osciences\u2014UMR 8187 LOG, Universit\u00e9 Lille, CNRS, Universit\u00e9 Littoral C\u00f4te d\u2019Opale, 59000 Lille, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5078-1154","authenticated-orcid":false,"given":"Fran\u00e7ois","family":"Gevaert","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anologie et de G\u00e9osciences\u2014UMR 8187 LOG, Universit\u00e9 Lille, CNRS, Universit\u00e9 Littoral C\u00f4te d\u2019Opale, 59000 Lille, France"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/BF02908708","article-title":"Habitat Choice by Juvenile Cod (Gadus Morhua L.) on Sandy Soit Bottoms with Different Vegetation Types","volume":"51","author":"Borg","year":"1997","journal-title":"Helgol. Meeresunters."},{"key":"ref_2","unstructured":"Shaffer, A. (April, January 31). Preferential Use of Nearshore Kelp Habitats by Juvenile Salmon and Forage Fish. Proceedings of the Georgia Basin\/Puget Sound Research Conference, Vancouver, BC, Canada."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1675\/1524-4695(2004)027[0161:AVIDOB]2.0.CO;2","article-title":"Annual Variation in Diet of Breeding Great Cormorants: Does It Reflect Varying Recruitment of Gadoids?","volume":"27","author":"Lorentsen","year":"2004","journal-title":"Waterbirds"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/0304-3770(90)90037-L","article-title":"Intertidal Macroalgae as Refuge and Food for Amphipoda in Central Chile","volume":"36","author":"Buschmann","year":"1990","journal-title":"Aquat. Bot."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2068","DOI":"10.1890\/07-1109.1","article-title":"Net Primary Production, Growth, and Standing Crop of Macrocystis Pyrifera Southern California","volume":"89","author":"Rassweiler","year":"2008","journal-title":"Ecology"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1017\/S002531540401015Xh","article-title":"Production, Respiration and Exudation of Dissolved Organic Matter by the Kelp LaminariaHyperborea Along West Coast Norway","volume":"84","author":"Abdullah","year":"2004","journal-title":"J. Mar. Biol. Assoc. UK"},{"key":"ref_7","unstructured":"Hill, M.N. (1963). Geographic Variations in Productivity. The Sea: Ideas and Observations on Progress in the Study of the Seas, Wiley-Interscience."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1093\/icb\/42.4.771","article-title":"Physiological Ecology of Rocky Intertidal Organisms: A Synergy of Concepts","volume":"42","author":"Tomanek","year":"2002","journal-title":"Integr. Comp. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.ecss.2014.05.031","article-title":"Vertical Zonation Is the Main Distribution Pattern of Littoral Assemblages on Rocky Shores at a Regional Scale","volume":"147","author":"Chappuis","year":"2014","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_10","unstructured":"Raffaelli, D., and Hawkins, S. (1999). Intertidal Ecology, Springer."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1656\/1092-6194(2004)11[123:BAPOIR]2.0.CO;2","article-title":"Biomass and Productivity of Intertidal Rockweeds (Ascophyllum Nodosum LeJolis) in Cobscook Bay","volume":"11","author":"Wright","year":"2004","journal-title":"Northeast. Nat."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1126\/science.182.4116.975","article-title":"Seaweeds: Their Productivity and Strategy for Growth","volume":"182","author":"Mann","year":"1973","journal-title":"Science"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.jembe.2014.10.022","article-title":"Response of Kelps from Different Latitudes to Consecutive Heat Shock","volume":"463","author":"Pereira","year":"2015","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1828","DOI":"10.1016\/j.cub.2011.09.028","article-title":"Seaweed Communities in Retreat from Ocean Warming","volume":"21","author":"Wernberg","year":"2011","journal-title":"Curr. Biol."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Raybaud, V., Beaugrand, G., Goberville, E., Delebecq, G., Destombe, C., Valero, M., Davoult, D., Morin, P., and Gevaert, F. (2013). Decline in Kelp in West Europe and Climate. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0066044"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.ecss.2011.12.027","article-title":"Seaweed Assemblage Changes in the Eastern Cantabrian Sea and Their Potential Relationship to Climate Change","volume":"99","author":"Muguerza","year":"2012","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.marenvres.2019.04.012","article-title":"Climate Change Induced Range Shifts in Seaweeds Distributions in Europe","volume":"148","author":"Ramos","year":"2019","journal-title":"Mar. Environ. Res."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Straub, S.C., Wernberg, T., Thomsen, M.S., Moore, P.J., Burrows, M.T., Harvey, B.P., and Smale, D.A. (2019). Resistance, Extinction, and Everything in between\u2014The Diverse Responses of Seaweeds to Marine Heatwaves. Front. Mar. Sci., 6.","DOI":"10.3389\/fmars.2019.00763"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1319","DOI":"10.1007\/s10531-016-1141-7","article-title":"Status, Trends and Drivers of Kelp Forests in Europe: An Expert Assessment","volume":"25","author":"Assis","year":"2016","journal-title":"Biodivers. Conserv."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Christie, H., Andersen, G.S., Bekkby, T., Fagerli, C.W., Gitmark, J.K., Gundersen, H., and Rinde, E. (2019). Shifts Between Sugar Kelp and Turf Algae in Norway: Regime Shifts or Fluctuations Between Different Opportunistic Seaweed Species?. Front. Mar. Sci., 6.","DOI":"10.3389\/fmars.2019.00072"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"299","DOI":"10.3354\/meps10513","article-title":"What Are Algal Turfs? Towards a Better Description of Turfs","volume":"495","author":"Connell","year":"2014","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1093\/biosci\/bix147","article-title":"Rise of Turfs: A New Battlefront for Globally Declining Kelp Forests","volume":"68","author":"Wernberg","year":"2018","journal-title":"BioScience"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1023\/A:1009916129009","article-title":"Impacts of Anthropogenic Stresses on the Early Development Stages of Seaweeds","volume":"7","author":"Coelho","year":"2000","journal-title":"J. Aquat. Ecosyst. Stress Recovery"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1002\/aqc.628","article-title":"Effects of Changing Temperature on Benthic Marine Life in Britain and Ireland","volume":"14","author":"Hiscock","year":"2004","journal-title":"Aquat. Conserv. Mar. Freshw. Ecosyst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1007\/BF00047847","article-title":"Application of Airborne Imaging Spectrometry System Data to Intertidal Seaweed Classification and Mapping","volume":"326\/327","author":"Bajjouk","year":"1996","journal-title":"Hydrobiologia"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.rse.2018.10.032","article-title":"Satellite Remote Sensing of Canopy-Forming Kelp on a Complex Coastline: A Novel Procedure Using the Landsat Image Archive","volume":"220","author":"Nijland","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.aquabot.2006.06.003","article-title":"Satellite Remote Sensing of Freshwater Macrophytes and the Influence of Water Clarity","volume":"85","author":"Nelson","year":"2006","journal-title":"Aquat. Bot."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/S0304-3770(97)00043-0","article-title":"Airborne Remote Sensing of Macrophytes in Cefni Reservoir, Anglesey, UK","volume":"58","author":"Malthus","year":"1997","journal-title":"Aquat. Bot."},{"key":"ref_30","first-page":"87","article-title":"Remote Sensing Inland Wetlands: A Multispectral Approach","volume":"52","author":"Jensen","year":"1986","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/S0034-4257(02)00202-X","article-title":"Capabilities of Remote Sensors to Classify Coral, Algae, and Sand as Pure and Mixed Spectra","volume":"85","author":"Hochberg","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s00338-003-0363-9","article-title":"Hyperspectral Discrimination of Coral Reef Benthic Communities in the Western Caribbean","volume":"23","author":"Karpouzli","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"497","DOI":"10.4319\/lo.2003.48.1_part_2.0497","article-title":"Modeling Spectral Discrimination of Great Barrier Reef Benthic Communities by Remote Sensing Instruments","volume":"48","author":"Kutser","year":"2003","journal-title":"Limnol. Oceanogr."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1515\/BOT.2007.042","article-title":"Methods for Identifying and Tracking Seaweed Invasions","volume":"50","author":"Meinesz","year":"2007","journal-title":"Bot. Mar."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Uhl, F., Bartsch, I., and Oppelt, N. (2016). Submerged Kelp Detection with Hyperspectral Data. Remote Sens., 8.","DOI":"10.3390\/rs8060487"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"369","DOI":"10.2989\/AJMS.2007.29.3.5.335","article-title":"Mapping and Quantifying the South African Kelp Resource","volume":"29","author":"Anderson","year":"2007","journal-title":"Afr. J. Mar. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/s10811-006-9029-7","article-title":"A Remote Sensing Approach to Estimating Harvestable Kelp Biomass","volume":"18","author":"Stekoll","year":"2006","journal-title":"J. Appl. Phycol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1002\/rse2.142","article-title":"Spatial and Temporal Persistence of Nearshore Kelp Beds on the West Coast of British Columbia, Canada Using Satellite Remote Sensing","volume":"6","author":"Schroeder","year":"2020","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Manfreda, S., McCabe, M., Miller, P., Lucas, R., Pajuelo Madrigal, V., Mallinis, G., Ben Dor, E., Helman, D., Estes, L., and Ciraolo, G. (2018). On the Use of Unmanned Aerial Systems for Environmental Monitoring. Remote Sens., 10.","DOI":"10.20944\/preprints201803.0097.v1"},{"key":"ref_40","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_41","doi-asserted-by":"crossref","unstructured":"Rossiter, T., Furey, T., McCarthy, T., and Stengel, D.B. (2020). UAV-Mounted Hyperspectral Mapping of Intertidal Macroalgae. Estuar. Coast. Shelf Sci., 242.","DOI":"10.1016\/j.ecss.2020.106789"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Kislik, C., Genzoli, L., Lyons, A., and Kelly, M. (2020). Application of UAV Imagery to Detect and Quantify Submerged Filamentous Algae and Rooted Macrophytes in a Non-Wadeable River. Remote Sens., 12.","DOI":"10.3390\/rs12203332"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Kotta, J., Remm, K., Vahtm\u00e4e, E., Kutser, T., and Orav-Kotta, H. (2014). In-Air Spectral Signatures of the Baltic Sea Macrophytes and Their Statistical Separability. J. Appl. Remote Sens., 8.","DOI":"10.1117\/1.JRS.8.083634"},{"key":"ref_44","first-page":"329","article-title":"Spectral Library of Macroalgae and Benthic Substrates in Estonian Coastal Waters","volume":"55","author":"Kutser","year":"2006","journal-title":"Proc. Est. Acad. Sci. Biol. Ecol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.ecss.2005.12.004","article-title":"Assessing Suitability of Multispectral Satellites for Mapping Benthic Macroalgal Cover in Turbid Coastal Waters by Means of Model Simulations","volume":"67","author":"Kutser","year":"2006","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.rse.2006.01.009","article-title":"Feasibility of Hyperspectral Remote Sensing for Mapping Benthic Macroalgal Cover in Turbid Coastal Waters\u2014A Baltic Sea Case Study","volume":"101","author":"Kutser","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/j.algal.2017.04.021","article-title":"A Comparison of Spectral Macroalgae Taxa Separability Methods Using an Extensive Spectral Library","volume":"26","year":"2017","journal-title":"Algal Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/S0034-4257(00)00161-9","article-title":"Spectral Signatures of Coral Reefs Features from Space","volume":"75","author":"Lubin","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"464","DOI":"10.4319\/lo.2003.48.1_part_2.0464","article-title":"Spatial and Temporal Variation in Spectral Reflectance: Are Seagrass Species Spectrally Distinct?","volume":"48","author":"Fyfe","year":"2003","journal-title":"Limnol. Oceanogr."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"975","DOI":"10.3390\/rs3050975","article-title":"Remote Sensing of Shallow Coastal Benthic Substrates: In Situ Spectra and Mapping of Eelgrass (Zostera Marina) in the Gulf Islands National Park Reserve of Canada","volume":"3","author":"Costa","year":"2011","journal-title":"Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Kisevic, M., Smailbegovic, A., Gray, K.T., Andricevic, R., Craft, J.D., Petrov, V., Brajcic, D., and Dragicevic, I. (2011, January 6\u20139). Spectral Reflectance Profile of Caulerpa Racemosa Var. Cylindracea and Caulerpa Taxifolia in the Adriatic Sea. Proceedings of the 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal.","DOI":"10.1109\/WHISPERS.2011.6080960"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1111\/j.1751-1097.1994.tb05097.x","article-title":"Influence of the Pool Size of the Xanthophyll Cycle on the Effects of the Light Stress in a Diatom: Competition Betwe\u2019en Photoprotection and Photoinhibition","volume":"60","author":"Arsalane","year":"1994","journal-title":"Photochem. Photobiol."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Beer, S., and Eshel, A. (1985). Determining Phycoerythrin and Phycocyanin Concentrations in Aqueous Crude Extracts of Red Algae. Mar. Freshw. Res., 36.","DOI":"10.1071\/MF9850785"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Lv, W., and Wang, X. (2020). Overview of Hyperspectral Image Classification. J. Sens., 2020.","DOI":"10.1155\/2020\/4817234"},{"key":"ref_55","unstructured":"R Development Core Team (2010). A Language and Environment for Statistical Computing: Reference Index, R Foundation for Statistical Computing."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1540","DOI":"10.1093\/bioinformatics\/btl117","article-title":"Pvclust: An R Package for Assessing the Uncertainty in Hiearchical Clustering","volume":"22","author":"Suzuki","year":"2006","journal-title":"Bioinformatics"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1007\/s00357-014-9161-z","article-title":"Ward\u2019s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward\u2019s Criterion?","volume":"31","author":"Murtagh","year":"2014","journal-title":"J. Classif."},{"key":"ref_58","unstructured":"Cao, F., Yang, Z., Ren, J., Jiang, M., and Ling, W.K. (2017). Does Normalization Methods Play a Role for Hyperspectral Image Classification?. arXiv."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/0034-4257(90)90055-Q","article-title":"High Resolution Derivative Spectra in Remote Sensing","volume":"33","author":"Steven","year":"1990","journal-title":"Remote Sens. Environ."},{"key":"ref_60","unstructured":"Ruffin, C., and King, R. (July, January 28). The Analysis of Hyperspectral Data Using Savitzky-Golay Filtering-Theoretical Basis. 1. Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS\u201999 (Cat. No.99CH36293), Hamburg, Germany."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1080\/03067318308071609","article-title":"Higher-Order Derivative Spectrophotometry in Environmental Analytical Chemistry","volume":"14","author":"Talsky","year":"1983","journal-title":"Int. J. Environ. Anal. Chem."},{"key":"ref_62","unstructured":"Boardman, J. (1992). SIPS User\u2019s Guide Spectral Image Processing System, Version 1.2, Center for the Study of Earth from Space."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0034-4257(93)90013-N","article-title":"The Spectral Image Processing System (SIPS) Interactive Visualization and Analysis of Imaging Spectrometer Data","volume":"44","author":"Kruse","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_64","unstructured":"Ramirez-Lopez, L., Stevens, A., Viscarra Rossel, R., Lobsez, C., Wadoux, A., and Breure, T. (2020). Resemble: Regression and Similarity Evaluation for Memory-Based Learning in Spectral Chemometrics, R Foundation for Statistical Computing."},{"key":"ref_65","unstructured":"Rowan, K.S. (1989). Photosynthetic Pigments of Algae, Cambridge University Press."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1007\/s00227-012-1987-5","article-title":"Assessment of AHS (Airborne Hyperspectral Scanner) Sensor to Map Macroalgal Communities on the R\u00eda de Vigo and R\u00eda de Ald\u00e1n Coast (NW Spain)","volume":"159","author":"Casal","year":"2012","journal-title":"Mar. Biol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1007\/BF00040216","article-title":"A Form-Function Analysis of Photon Capture for Seaweeds","volume":"204\/205","author":"Ramus","year":"1990","journal-title":"Hydrobiologia"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1111\/j.1529-8817.1978.tb00312.x","article-title":"Seaweed Anatomy and Photosynthetic Performance: The Ecological Significance of Light Guides, Heterogeneous Absorption and Multiple Scatter","volume":"14","author":"Ramus","year":"1978","journal-title":"J. Phycol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/BF00341462","article-title":"Light Absorption by Marine Macrophytes","volume":"98","author":"Duarte","year":"1994","journal-title":"Oecologia"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.jphotobiol.2013.10.005","article-title":"In Vivo Estimation of Pigment Composition and Optical Absorption Cross-Section by Spectroradiometry in Four Aquatic Photosynthetic Micro-Organisms","volume":"129","author":"Laviale","year":"2013","journal-title":"J. Photochem. Photobiol. B Biol."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s003380050055","article-title":"In Vivo Absorbance Spectra and the Ecophysiology of Reef Macroalgae","volume":"16","author":"Beach","year":"1997","journal-title":"Coral Reefs"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Huang, J., Wei, C., Zhang, Y., Blackburn, G.A., Wang, X., Wei, C., and Wang, J. (2015). Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0137029"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1104\/pp.45.3.289","article-title":"Light-Induced Changes in the Conformation and Configuration of the Thylakoid Membrane of Ulva Porphyra Chloroplasts Vivo","volume":"45","author":"Murakami","year":"1970","journal-title":"Plant Physiol."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Kirk, J.T.O. (2011). Light and Photosynthesis in Aquatic Ecosystems, Cambridge University Press. [3rd ed.].","DOI":"10.1017\/CBO9781139168212"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.jphotobiol.2005.03.002","article-title":"Effect of Light Quality on the Accumulation of Photosynthetic Pigments, Proteins and Mycosporine-like Amino Acids in the Red Alga PorphyraLeucosticta (Bangiales, Rhodophyta)","volume":"80","author":"Korbee","year":"2005","journal-title":"J. Photochem. Photobiol. B Biol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1111\/jpy.12894","article-title":"Interaction of Photoprotective and Acclimation Mechanisms in Ulva Rigida (Chlorophyta) in Response to Diurnal Changes in Solar Radiation in Southern Chile","volume":"55","author":"Cruces","year":"2019","journal-title":"J. Phycol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1134\/S102144371002007X","article-title":"Seasonal Changes in the Content of Lipids, Fatty Acids, and Pigments in Brown Alga Costaria Costata","volume":"57","author":"Gerasimenko","year":"2010","journal-title":"Russ. J. Plant Physiol."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.marenvres.2014.07.012","article-title":"Living in a Coastal Lagoon Environment: Photosynthetic and Biochemical Mechanisms of Key Marine Macroalgae","volume":"101","author":"Korbee","year":"2014","journal-title":"Mar. Environ. Res."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1046\/j.1365-3040.2002.00869.x","article-title":"Photo-Inhibition and Seasonal Photosynthetic Performance of the Seaweed LaminariaSaccharina A Simulated Tidal Cycle: Chlorophyll Fluoresc. Meas. Pigment Anal","volume":"25","author":"Gevaert","year":"2002","journal-title":"Plant, Cell Environ."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1111\/j.0022-3646.1995.00867.x","article-title":"Seasonal Variations of Photosynthetic Pigments, Total C, N, and P Content, and Photosynthesis in PhyllariopsisPurpurascens (Phaeophyta) Strait Gibraltar","volume":"31","author":"Fernandez","year":"1995","journal-title":"J. Phycol."},{"key":"ref_81","first-page":"57","article-title":"Tree Species Mapping in Tropical Forests Using Mult-Temporal Imaging Spectroscopy: Wavelength Adaptative Spectral Mixture Analysis","volume":"31","author":"Somers","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Selvaraj, S., Case, B.S., and White, W.L. (2021). Effects of Location and Season on Seaweed Spectral Signatures. Front. Ecol. Evol., 9.","DOI":"10.3389\/fevo.2021.581852"},{"key":"ref_83","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. 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