Collecting and Processing Crowdsourced River Measurements Using Innovative Sensors

Rigos Anastasios^*, Krommyda Maria, Theodoropoulos Theodoros, Tsiakos Valantis, Tsertou Athanasia, Amditis Angelos

Institute of Communication & Computer Systems (ICCS), National Technical University of Athens, Athens, Greece.

Abstract: This study presents the process of crowdsourcing and processing of environmental data collected by volunteers. The data consist of river measurements collected during the pilot activities (experiments) of SCENT, an EU-funded research project. The data were collected by volunteers during organised campaigns at the Kifisos river (Attika, Greece). The volunteers used their smartphones/tablets and low-cost portable sensors to collect the measurements. They collected images of water level indicators for the water level, videos of a pre-defined floating object for the water surface velocity and sensor measurements for air temperature and soil-moisture. Since the campaigns involved volunteers with different social and educational backgrounds, in their majority not familiar with the strict process of collecting scientific data, the collected data are further processed in order to ensure a high quality degree.

Keywords: Flood modelling, innovative sensors, crowdsource data, data analysis, data quality control.

Pages: 13 – 25 | Full PDF Paper