@article{fdi:010066801,
  title = {{D}evelopment of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters},
  author = {{H}an, {B}. and {L}oisel, {H}ubert and {V}antrepotte, {V}. and {M}eriaux, {X}. and {B}ryere, {P}. and {O}uillon, {S}ylvain and {D}essailly, {D}. and {X}ing, {Q}. {G}. and {Z}hu, {J}. {H}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}emote sensing of suspended particulate matter, {SPM}, from space has long been used to assess its spatio-temporal variability in various coastal areas. {T}he associated algorithms were generally site specific or developed over a relatively narrow range of concentration, which make them inappropriate for global applications (or at least over broad {SPM} range). {I}n the frame of the {G}lob{C}oast project, a large in situ data set of {SPM} and remote sensing reflectance, {R}-rs(lambda), has been built gathering together measurements from various coastal areas around {E}urope, {F}rench {G}uiana, {N}orth {C}anada, {V}ietnam, and {C}hina. {T}his data set covers various contrasting coastal environments diversely affected by different biogeochemical and physical processes such as sediment resuspension, phytoplankton bloom events, and rivers discharges ({A}mazon, {M}ekong, {Y}ellow river, {M}ac{K}enzie, etc.). {T}he {SPM} concentration spans about four orders of magnitude, from 0.15 to 2626 g center dot m(-3). {D}ifferent empirical and semi-analytical approaches developed to assess {SPM} from {R}-rs(lambda) were tested over this in situ data set. {A}s none of them provides satisfactory results over the whole {SPM} range, a generic semi-analytical approach has been developed. {T}his algorithm is based on two standard semi-analytical equations calibrated for low-to-medium and highly turbid waters, respectively. {A} mixing law has also been developed for intermediate environments. {S}ources of uncertainties in {SPM} retrieval such as the bio-optical variability, atmospheric correction errors, and spectral bandwidth have been evaluated. {T}he coefficients involved in these different algorithms have been calculated for ocean color ({S}ea{W}i{FS}, {MODIS}-{A}/{T}, {MERIS}/{OLCI}, {VIIRS}) and high spatial resolution ({L}and{S}at8-{OLI}, and {S}entinel2-{MSI}) sensors. {T}he performance of the proposed algorithm varies only slightly from one sensor to another demonstrating the great potential applicability of the proposed approach over global and contrasting coastal waters.},
  keywords = {specific backscattering coefficient ; empirical algorithm ; semi-analytic ; algorithm ; coastal waters ; suspended particulate matter ; ocean color ; {EUROPE} ; {GUYANE} {FRANCAISE} ; {CANADA} ; {VIET} {NAM} ; {CHINE} ; {MONDE} ; {AMAZONE} ; {MEKONG} ; {FLEUVE} {JAUNE} ; {MACKENZIE} {COURS} {D}'{EAU}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {8},
  numero = {3},
  pages = {art. 211 (23 p.]},
  ISSN = {2072-4292},
  year = {2016},
  DOI = {10.3390/rs8030211},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066801},
}