FN Archimer Export Format
PT J
TI Hindcast and Near Real-Time Monitoring of Green Macroalgae Blooms in Shallow Coral Reef Lagoons Using Sentinel-2: A New-Caledonia Case Study
BT 
AF Brisset, Maele
   Van Wynsberge, Simon
   Andréfouët, Serge
   Payri, Claude
   Soulard, Benoit
   Bourassin, Emmanuel
   LE GENDRE, Romain
   Coutures, Emmanuel
AS 1:1;2:1;3:2;4:2;5:1;6:1;7:1;8:3;
FF 1:PDG-RBE-LEADNC;2:PDG-RBE-LEADNC;3:;4:;5:PDG-RBE-LEADNC;6:PDG-RBE-LEADNC;7:PDG-RBE-LEADNC;8:;
C1 Institut Français de Recherche pour l’Exploitation de la Mer, UMR 9220 ENTROPIE (Institut de Recherche pour le Développement, Université de la Réunion, IFREMER, Université de la Nouvelle-Calédonie, Centre National de la Recherche Scientifique), Nouméa 98800, New Caledonia
   Institut de Recherche pour le Développement, UMR 9220 ENTROPIE (Institut de Recherche pour le Développement, Université de la Réunion, IFREMER, Université de la Nouvelle-Calédonie, Centre National de la Recherche Scientifique), BP A5, Nouméa CEDEX 98848, New Caledonia
   Direction du Développement Durable des Territoires, Province Sud, Nouméa 98849, New Caledonia
C2 IFREMER, FRANCE
   IRD, FRANCE
   DDDT, FRANCE
SI NOUMEA
SE PDG-RBE-LEADNC
UM ENTROPIE
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-p187
IF 5.349
TC 14
UR https://archimer.ifremer.fr/doc/00668/77968/80184.pdf
   https://archimer.ifremer.fr/doc/00668/77968/80185.zip
LA English
DT Article
DE ;Ulva;Sentinel-2;satellite;remote sensing;algal bloom;coral reefs;Pacific lagoons
AB Despite the necessary trade-offs between spatial and temporal resolution, remote sensing is an effective approach to monitor macroalgae blooms, understand their origins and anticipate their developments. Monitoring of small tropical lagoons is challenging because they require high resolutions. Since 2017, the Sentinel-2 satellites has provided new perspectives, and the feasibility of monitoring green algae blooms was investigated in this study. In the Poé-Gouaro-Déva lagoon, New Caledonia, recent Ulva blooms are the cause of significant nuisances when beaching. Spectral indices using the blue and green spectral bands were confronted with field observations of algal abundances using images concurrent with fieldwork. Depending on seabed compositions and types of correction applied to reflectance data, the spectral indices explained between 1 and 64.9% of variance. The models providing the best statistical fit were used to revisit the algal dynamics using Sentinel-2 data from January 2017 to December 2019, through two image segmentation approaches: unsupervised and supervised. The latter accurately reproduced the two algal blooms that occurred in the area in 2018. This paper demonstrates that Sentinel-2 data can be an effective source to hindcast and monitor the dynamics of green algae in shallow lagoons 
PY 2021
PD JAN
SO Remote Sensing
SN 2072-4292
PU MDPI AG
VL 13
IS 2
UT 000611550500001
DI 10.3390/rs13020211
ID 77968
ER

EF