Remote sensed data and hydraulic
modelling
Knut Alfredsen, Ana Juarez
Department of civil and environmental engineering, NTNU
2
Modelling for environmental impact
assessment.
20.00 40.00 60.00 80.00 100.00 120.00 140.00 160.00
-80.00
-60.00
-40.00
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
2.20
2.40
2.60
3
Using data from remote sensing
Terrestrial laserDrone geometryRed LidarGreen Lidar
Drone derived data Satellite information
4
LiDAR Bathymetry
5
Comparisons
Håkon Sundt
6
Prepared terrain model
Green Lidar river bathyemtry
Red Lidar TerrainBuildings from GIS database
7
Model calibration and verification
a b
Blue – simulated, Red – observedUncalibrated model
8
Model simulations
Wetting – drying computations
Seguin Garcia, 2019 Limpens, 2019
Green LiDAR 2016 –Green LiDAR 2015
Erosion and deposition
100-year flood betweenmeasurements
River modifications
Bustos et al. 2019 Sustainability
River ice break-up
Mapping ice for modelling
Dense point cloud (145 mill points)
Integrate LiDAR and Drone/SfM geometry
Combine drone data with model results
Thank you!