FN Archimer Export Format
PT J
TI Seaweed Habitats on the Shore: Characterization through Hyperspectral UAV Imagery and Field Sampling
BT 
AF Diruit, Wendy
   Le Bris, Anthony
   Bajjouk, Touria
   Richier, Sophie
   Helias, Mathieu
   Burel, Thomas
   Lennon, Marc
   Guyot, Alexandre
   Ar Gall, Erwan
AS 1:1;2:2;3:3;4:2;5:1;6:1;7:4;8:4;9:1;
FF 1:;2:;3:PDG-ODE-DYNECO-LEBCO;4:;5:;6:;7:;8:;9:;
C1 Univ Brest, CNRS, IRD, Ifremer, LEMAR, 29280 Plouzané, France
   Centre d’Etude et de Valorisation des Algues (CEVA), 22195 Pleubian, France
   Ifremer, Dynamiques des Ecosystèmes Côtiers (DYNECO)/Laboratoire d’Ecologie Benthique Côtière (LEBCO), 29280 Plouzané, France
   Hytech-Imaging, 115 Rue Claude Chappe, 29280 Plouzané, France
C2 UBO, FRANCE
   CEVA, FRANCE
   IFREMER, FRANCE
   HYTECH-IMAGING, FRANCE
SI BREST
SE PDG-ODE-DYNECO-LEBCO
UM LEMAR
IN WOS Ifremer UPR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-univ-france
IF 5
TC 15
UR https://archimer.ifremer.fr/doc/00780/89149/94719.pdf
LA English
DT Article
DE ;seaweeds;hyperspectral;UAVs;intertidal ecology;rocky shores;supervised classification;vegetation cover
AB 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. 
PY 2022
PD JUN
SO Remote Sensing
SN 2072-4292
PU MDPI AG
VL 14
IS 13
UT 000823917700001
DI 10.3390/rs14133124
ID 89149
ER

EF