@article{fdi:010092957,
  title = {{I}nland water quality monitoring using airborne small cameras : enhancing suspended sediment retrieval and mitigating sun glint effects},
  author = {{O}livetti, {D}. and {R}oig, {H}. {L}. and {M}artinez, {J}ean-{M}ichel and {F}erreira, {A}. {M}. {R}. and {M}arinho, {R}. {R}. and {M}incato, {R}. {L}. and {M}artins, {E}spr},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he ongoing advancement of unmanned aerial vehicles ({UAV}s) and the evolution of small-scale cameras have bridged the gap between traditional ground-based surveys and orbital sensors. {H}owever, these systems present challenges, including limited coverage area, image stabilization constraints, and complex image processing. {I}n water quality monitoring, these difficulties are further compounded by sun glint effects, which hinder the construction of accurate orthomosaics in homogeneous water surfaces and affect radiometric accuracy. {T}his study focuses on evaluating these challenges by comparing two distinct airborne imaging platforms with different spectral resolutions, emphasizing {T}otal {S}uspended {S}olids ({TSS}) monitoring. {H}yperspectral airborne surveys were undertaken utilizing a pushbroom system comprising 276 bands, whereas multispectral airborne surveys were conducted employing a global shutter frame with 4 bands. {F}ifteen aerial survey campaigns were carried out over water bodies from two biomes in {B}razil ({A}mazon and {S}avanna), at varying concentrations of {TSS} (0.6-130.7 mg {L}-1, {N}: 53). {E}mpirical models using near-infrared channels were applied to accurately monitor {TSS} in all areas ({H}yperspectral camera-{RMSE} = 3.6 mg {L}-1, {M}ultispectral camera-{RMSE} = 9.8 mg {L}-1). {F}urthermore, a key contribution of this research is the development and application of {S}un {G}lint mitigation techniques, which significantly improve the reliability of airborne reflectance measurements. {B}y addressing these radiometric challenges, this study provides critical insights into the optimal {UAV} platform for {TSS} monitoring in inland waters, enhancing the accuracy and applicability of airborne remote sensing in aquatic environments.},
  keywords = {remote sensing ; water quality ; drones ; sediment ; hyperspectral camera ; multiespectral camera ; {BRESIL}},
  booktitle = {},
  journal = {{D}rones},
  volume = {9},
  numero = {3},
  pages = {173 [25 p.]},
  year = {2025},
  DOI = {10.3390/drones9030173},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092957},
}