@article{fdi:010079310,
  title = {{L}ow-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs},
  author = {{O}livetti, {D}. and {R}oig, {H}. and {M}artinez, {J}ean-{M}ichel and {B}orges, {H}. and {F}erreira, {A}. and {C}asari, {R}. and {S}alles, {L}. and {M}alta, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he recent and continuous development of unmanned aerial vehicles ({UAV}) and small cameras with different spectral resolutions and imaging systems promotes new remote sensing platforms that can supply ultra-high spatial and temporal resolution, filling the gap between ground-based surveys and orbital sensors. {T}his work aimed to monitor siltation in two large rural and urban reservoirs by recording water color variations within a savanna biome in the central region of {B}razil using a low cost and very light unmanned platform. {A}irborne surveys were conducted using a {P}arrot {S}equoia camera (similar to 0.15 kg) onboard a {DJI} {P}hantom 4 {UAV} (similar to 1.4 kg) during dry and rainy seasons over inlet areas of both reservoirs. {F}ield measurements of total suspended solids ({TSS}) and water clarity were made jointly with the airborne survey campaigns. {F}ield hyperspectral radiometry data were also collected during two field surveys. {B}io-optical models for {TSS} were tested for all spectral bands of the {S}equoia camera. {T}he near-infrared single band was found to perform the best ({R}-2: 0.94; {RMSE}: 7.8 mg {L}-1) for a 0-180 mg {L}-1 {TSS} range and was used to produce time series of {TSS} concentration maps of the study areas. {T}his flexible platform enabled monitoring of the increase of {TSS} concentration at a similar to 13 cm spatial resolution in urban and rural drainages in the rainy season. {A}erial surveys allowed us to map {TSS} load fluctuations in a 1 week period during which no satellite images were available due to continuous cloud coverage in the rainy season. {T}his work demonstrates that a low-cost configuration allows dense {TSS} monitoring at the inlet areas of reservoirs and thus enables mapping of the sources of sediment inputs, supporting the definition of mitigation plans to limit the siltation process.},
  keywords = {water quality ; inland water ; total suspended solids ; remote sensing ; {UAV} ; remotely piloted aircraft ; drone ; {P}arrot {S}equoia ; urban drainage ; reservoir ; {BRESIL}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {12},
  numero = {11},
  pages = {art. 1855 [21 p.]},
  year = {2020},
  DOI = {10.3390/rs12111855},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079310},
}