Flood Risk Mapping with LIDAR

Transcription

1 Flood Risk Mapping with LIDAR Edward MacKinnon, AGRG June 16, 2004 University of Moncton Tim Webster, Project Supervisor Project Manager, Réal Daigle

2

3 LIDAR Data (TERRA) Validation data (AGRG) Orthophotos (SNB) Topographic data (SNB) Flood Data (CCAF) LIDAR DEM (AGRG) FLOOD Models (AGRG) Other (AGRG)

4 May 2003 (TERRA flew the first mission) Sept (data started to arrive) Nov (Flight cancelled) Nov (Sample DEM produced) Jan (all data was received) Jan (all data was processed 1st DVD) Feb (missing data received) Mar (LIDAR mosaicked & clipped - 2 nd DVD) Mar (Flood modeling 2nd DVD) Apr (final updated data arrived) May 2004 (Data was converted to NB stereo 3rd DVD) May 2004 (Terra began finished flying the other polygons) June 2004 (data delivered 4th DVD)

5 Missing sections Sections not flown Missing swaths Outliers not removed Data not separated properly Data delivery time

6 Missing Sections Data was collected April 03 Data was collected May 03

7 Missing Swath Data was collected May 03

8 Missing Wharf Data was collected April 03

9 Outliers in the non-ground points DSM before DSM after (DSM) Digital Surface Model created from all of the LIDAR data

10 Outliers in the non-ground points

11 Import Raw Data Build Grid / DEM Validate data Create 3D surface Models SNSB Orthophoto DSM DEM

12 DEM/DSM resolution Dune transect Dune transect grid resolution comparisons TS Ortho 60 cm DEM 1m DEM 2m DEM TS Ortho 60 cm DEM 1m DEM 2m DEM Elevation (m) Elevation (m) Points - ocean to land Points Land to ocean 60 cm 1 m 2 m RMS RMS

13

14 Example of GPS & Survey Data

15 CapLumiere Number of GPS Points Number of GPS Points > 30 cm Number of GPS Points > 35 cm Maximum GPS point Percent of Points Less then 30 cm mean magnitude of deviation Std. Dev. Avg. Mag RMS m % m m m m m

16 Bouctouche Number of GPS Points Number of GPS Points > 30 cm Number of GPS Points > 35 cm Maximum GPS point Percent of Points Less then 30 cm mean magnitude of deviation Std. Dev. Avg. Mag RMS m 95.6 % m m m m m

17 Cappele Number of GPS Points Number of GPS Points > 30 cm Number of GPS Points > 35 cm Maximum GPS point Percent of Points Less then 30 cm 0.53 m 99.4 % mean m magnitude of deviation m Std. Dev m Avg. Mag RMS m m

18 Cormierville Number of GPS Points Number of GPS Points > 30 cm Number of GPS Points > 35 cm Maximum GPS point Percent of Points Less then 30 cm 0.47 m % mean m magnitude of deviation m Std. Dev m Avg. Mag RMS m m Potential problem with GPS monument

19 LIDAR ground points within 2m of GPS points GPS 1 mean = m, S.D. = 0.09 GPS 2 mean = m, S.D. = 0.10

20 Flood Extent Maps Flood Depth Maps Classified Flood Depth Maps GIS data integration Animation

21 MSL to Chart Datum Tide gauge Jan 2000 Height above Chart Datum Orthometric height MSL of Jan 2000 event

22 Pointe-du du-chene Example Jan 2000 flood limit SNSB orthophoto DSM DEM Shaded Relief DSM Flood Depth map with impacted buildings and roads

23

24

25

26

27

28 ap Lumiere Block xample of Connectivity Issue

29

30

31 round Only CSR

32 Lumiere Block mple of overlay of all 3 flood layers mple of overlay of all 3 flood layers 00, 100 yrs at 50 cm, & 100 yrs at 70 cm

33

34

35

36 Bouctouche Block Example of overlay of all 3 flood layers Example of overlay of all 3 flood layers (Jan 00, 100 yrs at 50 cm, & 100 yrs at 70 cm

37

38

39

40

41 Perspective View with DSM (left) and DEM (right) of Bouctouche looking North East

42

43

44

45 Deliverables Polygons of the LIDAR regions Ground only Data DEM, Hillshade (B&W), & Color Shaded Relief for each region Allhits Data DSM, Hillshade (B&W), & Color Shaded Relief for each region 3D visualizations of the area - Perspective Views of Bouctouche, LaDune, Point-du-Chene Flood risk models for 3 agreed flood levels including 3 flood extents 3.6m, 4.1, and 4.3 above CD for each region 3 flood depth grids for each region 3 flood reclassified depth grids for each region Flood animation Bouctouche, LaDune, and Point-du-Chene 10 cm increments, 0 to 5m height above MSL Other Statistical Summary and GPS check points for each region used in the Validation Pseudo-colour table values used to make ground only CSR Models Projection file used to convert most data to NB double stereo Report, poster and presentation