@article{fdi:010090141,
  title = {{C}omparing unmanned aerial multispectral and hyperspectral imagery for harmful algal bloom monitoring in artificial ponds used for fish farming},
  author = {{O}livetti, {D}. and {C}icerelli, {R}. and {M}artinez, {J}ean-{M}ichel and {A}lmeida, {T}. and {C}asari, {R}. and {B}orges, {H}. and {R}oig, {H}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his work aimed to assess the potential of unmanned aerial vehicle ({UAV}) multi- and hyper-spectral platforms to estimate chlorophyll-a ({C}hl-a) and cyanobacteria in experimental fishponds in {B}razil. {I}n addition to spectral resolutions, the tested platforms differ in the price, payload, imaging system, and processing. {H}yperspectral airborne surveys were conducted using a push-broom system 276-band {H}eadwall {N}ano-{H}yperspec camera onboard a {DJI} {M}atrice 600 {UAV}. {M}ultispectral airborne surveys were conducted using a global shutter-frame 4-band {P}arrot {S}equoia camera onboard a {DJI} {P}hantom 4 {UAV}. {W}ater quality field measurements were acquired using a portable fluorometer and laboratory analysis. {T}he concentration ranged from 14.3 to 290.7 & mu;g/{L} and from 0 to 112.5 & mu;g/{L} for {C}hl-a and cyanobacteria, respectively. {F}orty-one {C}hl-a and cyanobacteria bio-optical retrieval models were tested. {T}he {UAV} hyperspectral image achieved robust {C}hl-a and cyanobacteria assessments, with {RMSE} values of 32.8 and 12.1 & mu;g/{L}, respectively. {M}ultispectral images achieved {C}hl-a and cyanobacteria retrieval with {RMSE} values of 47.6 and 35.1 & mu;g/{L}, respectively, efficiently mapping the broad {C}hl-a concentration classes. {H}yperspectral platforms are ideal for the robust monitoring of {C}hl-a and {C}yano{HAB}s; however, the integrated platform has a high cost. {M}ore accessible multispectral platforms may represent a trade-off between the mapping efficiency and the deployment costs, provided that the multispectral cameras offer narrow spectral bands in the 660-690 nm and 700-730 nm ranges for {C}hl-a and in the 600-625 nm and 700-730 nm spectral ranges for cyanobacteria.},
  keywords = {inland water ; remote sensing ; {UAV} ; remotely piloted aircraft ({RPA}) ; drone ; {P}arrot {S}equoia ; {H}eadwall {N}ano-{H}yperspec ; chlorophyll-a ; cyanobacteria ; {C}yano{HAB}s ; {BRESIL}},
  booktitle = {},
  journal = {{D}rones},
  volume = {7},
  numero = {7},
  pages = {410 [26 p.]},
  year = {2023},
  DOI = {10.3390/drones7070410},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090141},
}