RT journal article
T1 Using UAV Photogrammetry and Automated Sensors to Assess Aquifer Recharge from a Coastal Wetland
A1 García López, Santiago
A1 Vélez Nicolás, María de las Mercedes
A1 Martínez López, Francisco Javier
A1 Sánchez Bellón, Ángel
A1 Pacheco Orellana, María Jesús
A1 Ruiz Ortiz, Verónica
A1 Muñoz Pérez, Juan José
A1 Barbero González, Luis Carlos
A2 Ciencias de la Tierra
A2 Física Aplicada
A2 Ingeniería Industrial e Ingeniería Civil
K1 wetland
K1 pond
K1 datalogger
K1 UAV
K1 photogrammetry
K1 structure from motion
K1 water budget
K1 hydrological regime
K1 aquifer recharge
AB Novel data-acquisition technologies have revolutionized the study of natural systems, allowing the massive collection of information in situ and remotely. Merging these technologies improves the understanding of complex hydrological interactions, such as those of wetland–aquifer systems, and facilitates their conservation and management. This paper presents the combination of UAV technology with water level dataloggers for the study of a coastal temporary wetland linked to an underlying sandy aquifer and influenced by the tidal regime. Wetland morphology was defined using UAV imagery and SfM algorithms during the dry period. The DTM (6.9 cm resolution) was used to generate a flood model, which was subsequently validated with an orthophoto from a wet period. This information was combined with water stage records at 10-min intervals from a network of dataloggers to infer the water balance of the wetland and the transfers to the aquifer. Inflows into the pond were around 6200 m3 (40% direct precipitation over the pond, 60% surface runoff). Outputs equalled the inputs (41% direct evaporation from water surface, 59% transfers into the aquifer). The proposed methodology has demonstrated its suitability to unravel complex wetland–aquifer interactions and to provide reliable estimations of the elements of the water balance
PB MDPI
SN 2072-4292
YR 2022
FD 2022-12-07
LK http://hdl.handle.net/10498/29172
UL http://hdl.handle.net/10498/29172
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026