RT journal article
T1 Unmanned Aerial System-Based Multispectral Water Quality Monitoring in the Iberian Pyrite Belt (SW Spain)
A1 Isgró, Melisa A.
A1 Basallote, María Dolores
A1 Barbero González, Luis Carlos
A2 Ciencias de la Tierra
K1 Acid mine drainage
K1 Abandoned mine
K1 Water monitoring
K1 Drone
K1 Low altitude remote sensing, multispectral sensor
AB Few studies have assessed mining-associated water pollution using spectral characteristics. We used high-resolution multispectral data acquired by unmanned aerial drones combined with in situ chemical data to assess water quality parameters in 12 relatively small water bodies located in the Tharsis complex, an abandoned mining area in the Iberian pyrite belt (SW Spain). The spectral bands of Micasense RedEdge-MX Dual and spectral band combinations were used jointly with physicochemical data to estimate water quality parameters and develop reliable empirical models using regression analysis. Physicochemical parameters including pH, ORP, EC, Al, Cu, Fe, Mn, S, Si, and Zn were estimated with high accuracy levels (0.81 < R-2 < 0.99, 4 < RMSE% < 75, 0.01 < MAPE < 0.97). In contrast, the observed and modelled values for Ba, Ca, and Mg did not agree well (0.42 < R-2 < 0.70). The best-fitted models were used to generate spatial distribution maps, providing information on water quality patterns. This study demonstrated that using empirical models to generate spatial distribution maps can be an effective and easy way to monitor acid mine drainage.
PB SPRINGER
SN 1025-9112
YR 2021
FD 2021-11
LK http://hdl.handle.net/10498/26086
UL http://hdl.handle.net/10498/26086
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 14-nov-2026