Publications des scientifiques de l'IRD

Olivetti D., Roig H., Martinez Jean-Michel, Borges H., Ferreira A., Casari R., Salles L., Malta E. (2020). Low-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs. Remote Sensing, 12 (11), p. art. 1855 [21 p.].

Titre du document
Low-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000543397000160
Auteurs
Olivetti D., Roig H., Martinez Jean-Michel, Borges H., Ferreira A., Casari R., Salles L., Malta E.
Source
Remote Sensing, 2020, 12 (11), p. art. 1855 [21 p.]
The 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. This 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 Brazil using a low cost and very light unmanned platform. Airborne surveys were conducted using a Parrot Sequoia camera (similar to 0.15 kg) onboard a DJI Phantom 4 UAV (similar to 1.4 kg) during dry and rainy seasons over inlet areas of both reservoirs. Field measurements of total suspended solids (TSS) and water clarity were made jointly with the airborne survey campaigns. Field hyperspectral radiometry data were also collected during two field surveys. Bio-optical models for TSS were tested for all spectral bands of the Sequoia camera. The 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. This 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. Aerial 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. This 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.
Plan de classement
Hydrologie [062] ; Etudes, transformation, conservation du milieu naturel [082] ; Urbanisation et sociétés urbaines [102] ; Télédétection [126]
Description Géographique
BRESIL
Localisation
Fonds IRD [F B010079310]
Identifiant IRD
fdi:010079310
Contact