Author(s): Domenico Miglino; Khim Cathleen Saddi; Francesco Isgro; Seifeddine Jomaa; Michael Rode; Salvatore Manfreda
Linked Author(s):
Keywords: No Keywords
Abstract: Digital cameras could provide significant advantages to existing river monitoring techniques, enhancing the temporal and spatial resolution of observations. In this work, an image processing procedure for estimating river turbidity was tested in a real-scale experiment carried out in Germany, along the Selke River, within the Bode catchment, instrumented and managed by the Helmholtz Centre for Environmental Research (UFZ), Germany. The field campaign was conducted using different tracers, camera models and installation settings to understand the full potential of the camera systems in operational water quality monitoring. The gathered data were compared to the measurements of the turbidimeters installed in the river cross-section. The results prove that this procedure can properly represent the water turbidity trends employing an RGB camera in a real case study under natural conditions. Nevertheless, further investigations are necessary to select the best camera setup and to detect the most fitting spectral indexes for a reliable long-term image-based river turbidity monitoring system.
Year: 2024