@article{fdi:010070347,
  title = {{A}ssessment of chlorophyll-a remote sensing algorithms in a productive tropical estuarine-lagoon system},
  author = {{L}ins, {R}. {C}. and {M}artinez, {J}ean-{M}ichel and {M}arques, {D}. {D}. and {C}irilo, {J}. {A}. and {F}ragoso, {C}. {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}emote estimation of chlorophyll-a in turbid and productive estuaries is difficult due to the optical complexity of {C}ase 2 waters. {A}lthough recent advances have been obtained with the use of empirical approaches for estimating chlorophyll-a in these environments, the understanding of the relationship between spectral reflectance and chlorophyll-a is based mainly on temperate and subtropical estuarine systems. {T}he potential to apply standard {NIR}-{R}ed models to productive tropical estuaries remains underexplored. {T}herefore, the purpose of this study is to evaluate the performance of several approaches based on multispectral data to estimate chlorophyll-a in a productive tropical estuarine-lagoon system, using in situ measurements of remote sensing reflectance, {R}rs. {T}he possibility of applying algorithms using simulated satellite bands of modern and recent launched sensors was also evaluated. {M}ore accurate retrievals of chlorophyll-a (r(2) > 0.80) based on field datasets were found using {NIR}-{R}ed three-band models. {I}n addition, enhanced chlorophyll-a retrievals were found using the two-band algorithm based on bands of recently launched satellites such as {S}entinel-2/{MSI} and {S}entinel-3/{OLCI}, indicating a promising application of these sensors to remotely estimate chlorophyll-a for coming decades in turbid inland waters. {O}ur findings suggest that empirical models based on optical properties involving water constituents have strong potential to estimate chlorophyll-a using multispectral data from satellite, airborne or handheld sensors in productive tropical estuaries.},
  keywords = {shallow productive estuary ; chlorophyll-a ; remote sensing ; {S}entinel ; {BRESIL} {NORD} {EST} ; {ATLANTIQUE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {9},
  numero = {6},
  pages = {art. 516 [19 p.]},
  ISSN = {2072-4292},
  year = {2017},
  DOI = {10.3390/rs9060516},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070347},
}