RT Journal Article
T1 An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs
A1 Cillero Castro, Carmen
A1 Domínguez Gómez, Jose Antonio
A1 Delgado Martín, Jordi
A1 Hinojo Sánchez, Boris
A1 Cereijo Arango, Jose Luis
A1 Cheda Tuya, Federico Andrés
A1 Díaz Varela, Ramón Alberto
K1 Satellite
K1 Water quality
K1 Multispectral imagery
K1 UAV
K1 Eutrophication
K1 Monitoring
AB A multi-sensor and multi-scale monitoring tool for the spatially explicit and periodic monitoring of eutrophication in a small drinking water reservoir is presented. The tool was built with freely available satellite and in situ data combined with Unmanned Aerial Vehicle (UAV)-based technology. The goal is to evaluate the performance of a multi-platform approach for the trophic state monitoring with images obtained with MultiSpectral Sensors on board satellites Sentinel 2 (S2A and S2B), Landsat 8 (L8) and UAV. We assessed the performance of three different sensors (MultiSpectral Instrument (MSI), Operational Land Imager (OLI) and Rededge Micasense) for retrieving the pigment chlorophyll-a (chl-a), as a quantitative descriptor of phytoplankton biomass and trophic level. The study was conducted in a waterbody affected by cyanobacterial blooms, one of the most important eutrophication-derived risks for human health. Different empirical models and band indices were evaluated. Spectral band combinations using red and near-infrared (NIR) bands were the most suitable for retrieving chl-a concentration (especially 2 band algorithm (2BDA), the Surface Algal Bloom Index (SABI) and 3 band algorithm (3BDA)) even though blue and green bands were useful to classify UAV images into two chl-a ranges. The results show a moderately good agreement among the three sensors at different spatial resolutions (10 m., 30 m. and 8 cm.), indicating a high potential for the development of a multi-platform and multi-sensor approach for the eutrophication monitoring of small reservoirs
PB MDPI
YR 2020
FD 2020
LK http://hdl.handle.net/10347/23418
UL http://hdl.handle.net/10347/23418
LA eng
NO Cillero Castro, C.; Domínguez Gómez, J.A.; Delgado Martín, J.; Hinojo Sánchez, B.A.; Cereijo Arango, J.L.; Cheda Tuya, F.A.; Díaz-Varela, R. An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs. Remote Sens. 2020, 12, 1514
NO This research was co-funded by the Spanish Ministry of Research, Innovation and Universities through the Torres Quevedo Sub-Program, grant number PTQ-15-07685
DS Minerva
RD 24 abr 2026