Geneve, 04.12.2017
Faculty of Environmental Sciences, Institute of Photogrammetry and Remote Sensing
Photogrammetric Low Cost Systems forFlash-Flood Analysis
Hannes Sardemann,
Anette Eltner
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Sardemann, Eltner: Low Cost 3D for Extreme Events
EXTRUSO
acquisition ofhydro-
morphologicaldata
informationsystem
acquisition of hydro-meteorological data
hydro-meteorolicaltime series
hydro-meteorological
modelling
UAV and UWV measurements
low-costcamera gauges
https://extruso.bu.tu-dresden.de/
Optical measurements ofhydrological parameters
Optical measurements ofmorphologicalparameters
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Sardemann, Eltner: Low Cost 3D for Extreme Events
Low cost camera-based gauging station
Automatic waterline detection
Projection from image into 3D model
Raspberry-Pi based camera case
M. Kröhnert, R. Meichsner (2017): Segmentation of environmental time lapse image sequences for the determination of shore lines captured by hend-held smartphone cameras
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Sardemann, Eltner: Low Cost 3D for Extreme Events
Image-based flow velocity measurement
0.75
0.35
(m/s)
0.76
0.48
(m/s)
detect feature points
track feature points (LSM)
filter tracks by appearances in images
filter tracks by direction and steadiness
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Sardemann, Eltner: Low Cost 3D for Extreme Events
Optical Measurement of morphological Parameters
Unmanned Water Vehicle (UWV) as multi-sensor platform
GPS/ IMU
LIDAR
360° camera
RGB and NIR cameras
Echosounder
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Sardemann, Eltner: Low Cost 3D for Extreme Events
3D-pointclouds of the river banks
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Sardemann, Eltner: Low Cost 3D for Extreme Events
River profile from single beam echosounder
Depth0.25 m 2.5 m 5 m
0 250 500 m
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Sardemann, Eltner: Low Cost 3D for Extreme Events
Thank you for your attention
https://extruso.bu.tu-dresden.de/