@article{fdi:010086667,
  title = {{C}ontinuous monitoring of suspended particulate matter in {T}ropical inland waters by high-frequency, above-water radiometry},
  author = {{B}orges, {H}. {D}. and {M}artinez, {J}ean-{M}ichel and {H}armel, {T}. and {C}icerelli, {R}. {E}. and {O}livetti, {D}. and {R}oig, {H}. {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ater and sediment discharges can change rapidly, and low-frequency measurement devices might not be sufficient to elucidate existing dynamics. {A}s such, above-water radiometry might enhance monitoring of suspended particulate matter ({SPM}) dynamics in inland waters. {H}owever, it has been barely applied for continuous monitoring, especially under partially cloudy sky conditions. {I}n this study, an in situ, high-frequency (30 s timestep), above-water radiometric dataset, collected over 18 days in a tropical reservoir, is analyzed for the purpose of continuous monitoring of {SPM} concentration. {D}ifferent modalities to retrieve reflectance spectra, as well as {SPM} inversion algorithms, were applied and evaluated. {W}e propose a sequence of processing that achieved an average unsigned percent difference ({UPD}) of 10.4% during cloudy conditions and 4.6% during clear-sky conditions for {R}rs (665 nm), compared to the respective {UPD} values of 88.23% and 13.17% when using a simple calculation approach. {SPM} retrieval methods were also evaluated and, depending on the methods used, we show that the coefficient of variation ({CV}) of the {SPM} concentration varied from 69.5% down to 2.7% when using a semi-analytical approach. {A}s such, the proposed processing approach is effective at reducing unwanted variability in the resulting {SPM} concentration assessed from above-water radiometry, and our work paves the way towards the use of this noninvasive technique for high-frequency monitoring of {SPM} concentrations in streams and lakes.},
  keywords = {suspended sediment concentration ; hyperspectral ; remote sensing ; water color ; reflectance ; {BRESIL}},
  booktitle = {},
  journal = {{S}ensors},
  volume = {22},
  numero = {22},
  pages = {8731 [ ]},
  year = {2022},
  DOI = {10.3390/s22228731},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086667},
}