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!