remote sensing Article Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams Emmanouil Andreadakis 1, Michalis Diakakis 1,* , Emmanuel Vassilakis 1 , Georgios Deligiannakis 2 , Antonis Antoniadis 1, Petros Andriopoulos 1, Nafsika I. Spyrou 1 and Efthymios I. Nikolopoulos 3 1 Faculty of Geology and Geoenvironment, National and Kapodistrian University of Athens, Panepistimioupoli Zografou, 15784 Athens, Greece;
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[email protected] (N.I.S.) 2 Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece;
[email protected] 3 Florida Institute of Technology, Department of Mechanical and Civil Engineering, Melbourne, FL 32901, USA; enikolopoulos@fit.edu * Correspondence:
[email protected] Received: 13 November 2020; Accepted: 18 December 2020; Published: 21 December 2020 Abstract: The spatial and temporal scale of flash flood occurrence provides limited opportunities for observations and measurements using conventional monitoring networks, turning the focus to event-based, post-disaster studies. Post-flood surveys exploit field evidence to make indirect discharge estimations, aiming to improve our understanding of hydrological response dynamics under extreme meteorological forcing. However, discharge estimations are associated with demanding fieldwork aiming to record in small timeframes delicate data and data prone-to-be-lost and achieve the desired accuracy in measurements to minimize various uncertainties of the process. In this work, we explore the potential of unmanned aerial systems (UAS) technology, in combination with the Structure for Motion (SfM) and optical granulometry techniques in peak discharge estimations.