Project summary
The project explores new techniques for monitoring streamflow dynamics using unmanned aerial systems (UAV, UAS). The aim is to develop a robust method for streamflow monitoring by UAV, applicable for flow velocity determination in ungauged streams or for assessment of extreme flows. The research should develop and test new approaches for indirect quantitative assessment of flow velocity and its distribution in montane channels, using UAV imaging. UAV image velocimetry analysis will be based on the identification and tracking of seeded particles in the stream from hi-speed UAV imaging. The image analysis will extract the particle trajectories and velocities from the imagery stack and determine the flow velocity patterns. The results will be validated by continuous monitoring and in-situ velocity measurement and used for accuracy improvements of streamflow modeling of montane streams. The study area is located in the headwater part of the Sumava mountains (Czech Republic), where the research will benefit from the long-term research efforts and the experimental monitoring network. This research project fits the long-term research topics of the research group of Hydrology and of the HyDrone team. The applicant will benefit from the cooperation of the research team in the fields of UAS technologies, hydrology, and modeling.
Selected publications of the research group
- MINAŘÍK, R.; LANGHAMMER, J.; HANUŠ, J., 2019. Radiometric and Atmospheric Corrections of Multispectral µMCA Camera for UAV Spectroscopy. Remote Sensing. 2019, 11, 2428. IF=4,118
- LENDZIOCH, T., LANGHAMMER, J., JENICEK, M.. 2019. Estimating Snow Depth and Leaf Area Index Based on UAV Digital Photogrammetry. Sensors 2019, 19(5), 1027. IF=2.475
- LANGHAMMER, J., VACKOVÁ, T., 2018. Detection and Mapping of the Geomorphic Effects of Flooding Using UAV Photogrammetry. Pure and Applied Geophysics. 175, 9, 3233-3245. IF=1.652
- LANGHAMMER, J., LENDZIOCH, T., MIŘIJOVSKÝ, J., HARTVICH, F., 2017. UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions. Remote Sensing, 9(3), 240. IF=4.118
- LANGHAMMER, J., BERNSTEINOVÁ, J., MIŘIJOVSKÝ, J., 2017. Building a High-Precision 2D Hydrodynamic Flood Model Using UAV Photogrammetry and Sensor Network Monitoring. Water 9, 861. IF=2.069
Current research projects of the group
- 2019-21: Spatial and temporal dynamics of hydrometeorological extremes in montane areas. (Czech Science Foundation GAČR 19-05011S, PI: Jakub Langhammer)
- 2019-21: UAS monitoring of river systems response to forest disturbance. (EU COST Action CA16219, LTC 19024, PI: Jakub Langhammer)
- 2018-20 Monitoring of peat bog habitats using UAV-based multispectral digital photogrammetry (GAUK78318, PI: Theodora Lendzioch)
- 2018-19: UAV monitoring of the dynamics of the spread of bark beetle in Prague´s forests. (Prague Environment grants MHMP DOT/54/12/ 013649/2018, PI: Jakub Langhammer)
- 2018-20: Influence of seasonal snowpack on summer low flows: climate change implications on hydrological drought (GAČR 18-06217Y, PI: Michal Jeníček)
Deadline is closed