FN Archimer Export Format
PT J
TI A Review of Ocean Color Algorithms to Detect Trichodesmium Oceanic Blooms and Quantify Chlorophyll Concentration in Shallow Coral Lagoons of South Pacific Archipelagos
BT 
AF Dupouy, Cécile
   Whiteside, Andra
   Tan, Jing
   Wattelez, Guillaume
   Murakami, Hiroshi
   Andréoli, Rémi
   Lefèvre, Jérôme
   Röttgers, Rüdiger
   Singh, Awnesh
   Frouin, Robert
AS 1:1,2;2:1,2;3:3;4:4;5:5;6:6;7:7;8:8;9:2;10:3;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;
C1 Aix-Marseille Université, Université de Toulon, IRD, CNRS/INSU, Mediterranean Institute of Oceanography, MIO UM 110, 13288 Marseille, France
   Pacific Centre for Environment and Sustainable Development (PaCE-SD), The University of the South Pacific, Laucala Campus, Suva, Fiji
   Scripps Institution of Oceanography, University of California San Diego, 8810 Shellback Way, La Jolla, CA 92093, USA
   Interdisciplinary Laboratory for Research in Education, EA 7483, University of New Caledonia, Avenue James Cook, Nouméa 98800, New Caledonia
   Japan Aerospace Exploration Agency, Tsukuba 305-8505, Ibaraki, Japan
   Bluecham SAS, Nouméa 98848, New Caledonia
   ENTROPIE, Centre IRD de Nouméa, BP A5, Nouméa 98848, New Caledonia
   Institute of Carbon Cycles, Helmholtz-Zentrum HEREON, Max-Planck-Str. 1, Building 70, D-21502 Geesthacht, Germany
C2 UNIV AIX MARSEILLE, FRANCE
   UNIV SOUTH PACIFIC, FIJI
   UNIV CALIF SAN DIEGO, USA
   UNIV NOUVELLE CALEDONIE, FRANCE
   JAXA, JAPAN
   BLUECHAM SAS, FRANCE
   IRD, FRANCE
   HZG, GERMANY
UM ENTROPIE
IN WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
   copubli-sud
IF 5
TC 1
UR https://archimer.ifremer.fr/doc/00871/98267/107623.pdf
LA English
DT Article
CR BISSECOTE
   CALIOPE 01
   CALIOPE 02
   CALIOPE 03
   COMEVA 1
   COMEVA 2
   DIAPALIS
   DIAPALIS 1
   DIAPALIS 2
   DIAPALIS 3
   DIAPALIS 4
   DIAPALIS 5
   DIAPALIS 6
   DIAPALIS 7
   DIAPALIS 8
   DIAPALIS 9
   EBENE
   ECHOLAG
   FLUPAC
   MOANA-MATY 2018
   OUTPACE
   SOKOWASA 2022
   SPOT
   VALHYBIO
   ZONALFLUX
BO Alis
   L'Atalante
   Thomas G. Thompson
DE ;chlorophyll-a concentration;ocean color;Trichodesmium blooms;bathymetry;water column attenuation correction;MODIS;MERIS;Sentinel 2;remote sensing;reflectance;algorithms;inversion method;seabed mapping;clustering;support vector machine;New Caledonia;Fiji Islands;Southwestern Tropical Pacific
AB The oceanic waters of the Southwest Tropical Pacific occupy a vast region including multiple Pacific Island Countries. The state of these waters is determinant for fisheries and the blue economy. Ocean color remote sensing is the main tool to survey the variability and long-term evolution of these large areas that are important for economic development but are affected by climate change. Unlike vast oligotrophic gyres, tropical waters are characterized by numerous archipelagos and islands, with deep and shallow lagoons subjected to the large impacts of the land. Strikingly large dendritic phytoplankton (Trichodesmium) blooms with high levels of chlorophyll, developing within archipelagos, as well as coastal enrichments from various origins may be observed. Algorithms to detect the presence of Trichodesmium have been developed or adapted, as well as algorithms to estimate the chlorophyll concentration ([Chl-a)]. Adapting existing [Chl-a] algorithms does not always yield high, i.e., sufficient, accuracy. A review of published regional bio-optical algorithms developed taking into account the specific phytoplankton composition and minimizing the adverse impacts of particles and the seabed bottom on [Chl-a] determination is presented, as well the bio-optical database that allowed their development. The interest of such algorithms for a variety of applications and scientific accomplishments is highlighted, with a view to further addressing the main biology and biogeochemistry questions, e.g., to determine the true impact of diazotrophs and assess lagoon [Chl-a] variability with the highest confidence. This work anticipates the use of future coarse and high-spatial-resolution and multi- and hyper-spectral satellite imagery in the Pacific. 
PY 2023
PD NOV
SO Remote Sensing
SN 2072-4292
PU MDPI AG
VL 15
IS 21
UT 001103279100001
DI 10.3390/rs15215194
ID 98267
ER

EF