Wendy DIRUIT
Doctorante
Laboratoire LEMAR – 2018
Affectation
Laboratoire LEMAR
Discovery
Contact
Liens
Publications
355235
ACL
Diruit
1
apa
50
date
desc
1
Diruit, W.
189352
https://www-iuem.univ-brest.fr/lemar/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22RVGPJIHN%22%2C%22library%22%3A%7B%22id%22%3A355235%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Diruit%20et%20al.%22%2C%22parsedDate%22%3A%222024-02-12%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Cstrong%3EDiruit%2C%20W.%3C%5C%2Fstrong%3E%2C%20Burel%2C%20T.%2C%20Bajjouk%2C%20T.%2C%20Le%20Bris%2C%20A.%2C%20Richier%2C%20S.%2C%20Terrin%2C%20S.%2C%20Helias%2C%20M.%2C%20Stiger-Pouvreau%2C%20V.%2C%20%26amp%3B%20Ar%20Gall%2C%20E.%20%282024%29.%20Comparison%20of%20supervised%20classifications%20to%20discriminate%20seaweed-dominated%20habitats%20through%20hyperspectral%20imaging%20data.%20%3Ci%3EJOURNAL%20OF%20APPLIED%20PHYCOLOGY%3C%5C%2Fi%3E.%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10811-024-03184-3%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10811-024-03184-3%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fwww-iuem.univ-brest.fr%5C%2Flemar%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D355235%26amp%3Bitem_key%3DRVGPJIHN%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Comparison%20of%20supervised%20classifications%20to%20discriminate%20seaweed-dominated%20habitats%20through%20hyperspectral%20imaging%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wendy%22%2C%22lastName%22%3A%22Diruit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Burel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Touria%22%2C%22lastName%22%3A%22Bajjouk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anthony%22%2C%22lastName%22%3A%22Le%20Bris%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Richier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sara%22%2C%22lastName%22%3A%22Terrin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathieu%22%2C%22lastName%22%3A%22Helias%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Valerie%22%2C%22lastName%22%3A%22Stiger-Pouvreau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erwan%22%2C%22lastName%22%3A%22Ar%20Gall%22%7D%5D%2C%22abstractNote%22%3A%22Intertidal%20macroalgae%20define%20complex%20habitats%20and%20play%20a%20key%20role%20in%20structuring%20coastal%20areas.%20While%2C%20they%20are%20primarily%20studied%20during%20field%20campaigns%2C%20remote%20sensing%20acquisitions%20are%20becoming%20increasingly%20prevalent.%20However%2C%20the%20use%20of%20hyperspectral%20imagery%20on%20drones%20is%20not%20developed%20even%20though%20it%20allows%20species%20identification%20even%20in%20heterogeneous%20environments%20such%20as%20intertidal%20rocky%20shores.%20Based%20on%20hyperspectral%20drone%20imagery%20acquired%20in%20summer%202021%2C%20this%20study%20aims%20to%20identify%20and%20validate%20an%20algorithm%20suitable%20for%20easy%20integration%20into%20an%20operational%20framework%20for%20monitoring%20macroalgal%20dominated%20shore.%20The%20study%20focuses%20on%20two%20sites%20along%20the%20Brittany%20coast%20%28Western%20France%29.%20Species%20identification%20and%20abundance%20were%20determined%20in%20the%20field.%20Six%20algorithms%20were%20tested%3A%20Mahalanobis%2C%20Minimum%20Distance%2C%20Maximum%20Likelihood%2C%20Random%20Forest%2C%20Spectral%20Angle%20Mapper%20and%20Support%20Vector%20Machine.%20Classifications%20showed%20overall%20accuracies%20ranging%20from%2070%25%20to%2090%25%20depending%20on%20the%20algorithm.%20The%20Maximum%20Likelihood%20is%20retained%20as%20it%20provides%20good%20accuracies%20and%20valuable%20information%20about%20the%20species%20distributions.%20Our%20analyses%20based%20on%20a%20combination%20of%20field%20and%20remote%20sensing%20data%20reveals%20globally%20consistent%20results%20when%20considering%20the%20main%20Phaeophyceae%20species%20but%20a%20divergence%20was%20highlighted%20for%20Rhodophyta.%20Despite%20environmental%20differences%2C%20the%20two%20studied%20sites%20were%20faithfully%20characterized%20in%20terms%20of%20intertidal%20species%20and%20habitat%20distribution%2C%20highlighting%20the%20potential%20of%20hyperspectral%20drone%20imagery%20to%20better%20understand%20seaweed-dominated%20ecosystem%20dynamics.%22%2C%22date%22%3A%222024%20FEB%2012%22%2C%22language%22%3A%22English%22%2C%22DOI%22%3A%2210.1007%5C%2Fs10811-024-03184-3%22%2C%22ISSN%22%3A%220921-8971%2C%201573-5176%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.webofscience.com%5C%2Fwos%5C%2Fwoscc%5C%2Ffull-record%5C%2FWOS%3A001160436800001%22%2C%22collections%22%3A%5B%22MXS8HMWQ%22%5D%2C%22dateModified%22%3A%222024-02-29T14%3A05%3A10Z%22%7D%7D%2C%7B%22key%22%3A%227F7JJSTC%22%2C%22library%22%3A%7B%22id%22%3A355235%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Diruit%20et%20al.%22%2C%22parsedDate%22%3A%222022-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Cstrong%3EDiruit%2C%20W.%3C%5C%2Fstrong%3E%2C%20Le%20Bris%2C%20A.%2C%20Bajjouk%2C%20T.%2C%20Richier%2C%20S.%2C%20Helias%2C%20M.%2C%20Burel%2C%20T.%2C%20Lennon%2C%20M.%2C%20Guyot%2C%20A.%2C%20%26amp%3B%20Ar%20Gall%2C%20E.%20%282022%29.%20Seaweed%20Habitats%20on%20the%20Shore%3A%20Characterization%20through%20Hyperspectral%20UAV%20Imagery%20and%20Field%20Sampling.%20%3Ci%3ERemote%20Sensing%3C%5C%2Fi%3E%2C%20%3Ci%3E14%3C%5C%2Fi%3E%2813%29%2C%203124.%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Frs14133124%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Frs14133124%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fwww-iuem.univ-brest.fr%5C%2Flemar%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D355235%26amp%3Bitem_key%3D7F7JJSTC%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Seaweed%20Habitats%20on%20the%20Shore%3A%20Characterization%20through%20Hyperspectral%20UAV%20Imagery%20and%20Field%20Sampling%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wendy%22%2C%22lastName%22%3A%22Diruit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anthony%22%2C%22lastName%22%3A%22Le%20Bris%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Touria%22%2C%22lastName%22%3A%22Bajjouk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Richier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathieu%22%2C%22lastName%22%3A%22Helias%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Burel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc%22%2C%22lastName%22%3A%22Lennon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Guyot%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erwan%22%2C%22lastName%22%3A%22Ar%20Gall%22%7D%5D%2C%22abstractNote%22%3A%22Intertidal%20macroalgal%20habitats%20are%20major%20components%20of%20temperate%20coastal%20ecosystems.%20Their%20distribution%20was%20studied%20using%20field%20sampling%20and%20hyperspectral%20remote%20mapping%20on%20a%20rocky%20shore%20of%20Porspoder%20%28western%20Brittany%2C%20France%29.%20Covers%20of%20both%20dominating%20macroalgae%20and%20the%20sessile%20fauna%20were%20characterized%20in%20situ%20at%20low%20tide%20in%2024%20sampling%20spots%2C%20according%20to%20four%20bathymetric%20levels.%20A%20zone%20of%20ca.%2017%2C000%20m%282%29%20was%20characterized%20using%20a%20drone%20equipped%20with%20a%20hyperspectral%20camera.%20Macroalgae%20were%20identified%20by%20image%20processing%20using%20two%20classification%20methods%20to%20assess%20the%20representativeness%20of%20spectral%20classes.%20Finally%2C%20a%20comparison%20of%20the%20remote%20imaging%20data%20to%20the%20field%20sampling%20data%20was%20conducted.%20Seven%20seaweed%20classes%20were%20distinguished%20by%20hyperspectral%20pictures%2C%20including%20five%20different%20species%20of%20Fucales.%20The%20maximum%20likelihood%20%28MLC%29%20and%20spectral%20angle%20mapper%20%28SAM%29%20were%20both%20trained%20using%20image-derived%20spectra.%20MLC%20was%20more%20accurate%20to%20classify%20the%20main%20dominating%20species%20%28Overall%20Accuracy%20%28OA%29%2095.1%25%29%20than%20SAM%20%28OA%2087.9%25%29%20at%20a%20site%20scale.%20However%2C%20at%20sampling%20points%20scale%2C%20the%20results%20depend%20on%20the%20bathymetric%20level.%20This%20study%20evidenced%20the%20efficiency%20and%20accuracy%20of%20hyperspectral%20remote%20sensing%20to%20evaluate%20the%20distribution%20of%20dominating%20intertidal%20seaweed%20species%20and%20the%20potential%20for%20a%20combined%20field%5C%2Fremote%20approach%20to%20assess%20the%20ecological%20state%20of%20macroalgal%20communities.%22%2C%22date%22%3A%22JUL%202022%22%2C%22language%22%3A%22English%22%2C%22DOI%22%3A%2210.3390%5C%2Frs14133124%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.webofscience.com%5C%2Fwos%5C%2Fwoscc%5C%2Fsummary%5C%2F7cfa02f3-58f1-4755-959f-b71cda4eb6f0-44ed0b77%5C%2Frelevance%5C%2F1%22%2C%22collections%22%3A%5B%22348HK8H3%22%2C%22449H35DA%22%2C%227BD5VS8S%22%5D%2C%22dateModified%22%3A%222022-07-21T13%3A47%3A42Z%22%7D%7D%5D%7D
Diruit, W., Burel, T., Bajjouk, T., Le Bris, A., Richier, S., Terrin, S., Helias, M., Stiger-Pouvreau, V., & Ar Gall, E. (2024). Comparison of supervised classifications to discriminate seaweed-dominated habitats through hyperspectral imaging data. JOURNAL OF APPLIED PHYCOLOGY. https://doi.org/10.1007/s10811-024-03184-3 Cite
Diruit, W., Le Bris, A., Bajjouk, T., Richier, S., Helias, M., Burel, T., Lennon, M., Guyot, A., & Ar Gall, E. (2022). Seaweed Habitats on the Shore: Characterization through Hyperspectral UAV Imagery and Field Sampling. Remote Sensing, 14(13), 3124. https://doi.org/10.3390/rs14133124 Cite
