@article{fdi:010069342,
  title = {{A}ssessment and analysis of the chlorophyll-a concentration variability over the {V}ietnamese coastal waters from the {MERIS} ocean color sensor (2002-2012)},
  author = {{L}oisel, {H}ubert and {V}antrepotte, {V}. and {O}uillon, {S}ylvain and {N}goc, {D}. {D}. and {H}errmann, {M}arine and {T}ran, {V}. and {M}eriaux, {X}. and {D}essailly, {D}. and {J}amet, {C}. and {D}uhaut, {T}. and {N}guyen, {H}. {H}. and {N}guyen, {T}. {V}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}patio-temporal patterns of the chlorophyll-a concentration, {C}hia, have been assessed from the {ME}dium {R}esolution {I}maging {S}pectrometer ({MERIS}) over the whole {V}ietnamese coastal waters from 2002 to 2012. {F}or that purpose, six bio-optical algorithms already documented and based on different approaches have been tested over a large in situ data set collected at different seasons and locations along the {V}ietnamese coast. {T}he 005 algorithm ({G}ohin, {D}ruon, and {L}ampert, 2002) presents the best performances and has been selected to assess {C}hla in the studied region. {T}he notion of optimal bio-optical environment associated with the best performance of 005 has been introduced. {F}or suspended particulate matter concentration, {SPM}, lower than 100 g.m(-3), and colored dissolved organic matter, a(cdom)(443), lower than 0.5 m(-1), {C}hla is estimated with an uncertainty of 36% and a bias of 5%. {A} {C}hla climatology has been generated and the temporal patterns (seasonal variability, long term trend, and irregular component) have been described using the {C}ensus-{X}-11 time series decomposition method. {T}hree-dimensional hydrodynamical numerical simulations have been used to analyze the spatio-temporal patterns of {C}hla. {T}he seasonal contribution dominates the variance of the signal, in good relationship with the dynamic of the mixed layer depth as well as with the occurrence of a seasonal upwelling induced by the summer monsoon. {T}he irregular variability of {C}hla which may reach up to 35% of the total variance in the central part of the {V}ietnamese coast, can be explained through the surface kinetic energy and its standard deviation which is associated with small scales processes. {A} long term monotonic trend from about 2 to > 5%.yr(-1) (that is 20 to >50% from 2002 to 2012) have been noticed in different coastal areas where aquaculture activities exhibit a concurrence increase, ranging from 31% to 113% (in production weight) over the same time period. {I}n situ measurements, and especially of nutrients, are however necessary to confirm the link between aquaculture activities and phytoplankton biomass long term evolutions.},
  keywords = {{O}cean color remote sensing ; {C}oastal water ; {C}hlorophyll concentration ; {T}emporal variability ; {VIET} {NAM}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {190},
  numero = {},
  pages = {217--232},
  ISSN = {0034-4257},
  year = {2017},
  DOI = {10.1016/j.rse.2016.12.016},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069342},
}