1. Matthew Barbee
University of Hawaii Coastal Geology Group
CGG Cartographer
mbarbee@hawaii.edu
808-956-3605
http://www.soest.hawaii.edu/coastal

2. Bathymetry LiDAR - SHOALS
Army Corp of Engineers
shoals.sam.usace.army.mil/hawaii/pages/Hawaii_Data.htm
UH Coastal Geology Website
http://www.soest.hawaii.edu/coasts/data
Terrain LiDAR
NOAA LDART - http://maps.csc.noaa.gov/TCM/
NGA LiDAR – not available online
FEMA LiDAR – not available online
Terrain-based LiDAR
University of Hawaii – SOEST Pacific GPS Facility

3. 30m SRTM (Shuttle Radar Topography Mission)
Digital Elevation Models (DEMs)
http://ned.usgs.gov/
10m USGS/NOAA island-wide DEMs
http://ned.usgs.gov
http://ccma.nos.noaa.gov/products/biogeography/mapping/dems/index
.shtml
5m IfSAR DEMs
http://www.intermap.com/ (proprietary)

4. Vulnerability studies
1 meter rise movie at http://www.soest.hawaii.edu/coasts/sealevel/waikiki.html

5. Vulnerability studies
http://www.soest.hawaii.edu/coasts/sealevel/Runup_animation.html

6. Applications of LiDAR in Hawaii
• Vulnerability studies
• flood, failure, risk
• Feature Change
• Environment, infrastructure, development
• Decision making
• Informed choices
Waterfront Kaimuki!?
Waikiki

7. Applications of LiDAR in Hawaii
• Vulnerability studies
• flood, failure, risk
• Feature Change/Extraction
• Environment, infrastructure, development
• Decision Making
• informed decisions
• Shoreline Change Analysis
• Coastal DEMs
• accurate mapping of shoreline change
• Vertical definition of the shoreline?

8. To consider:
Horizontal Datums (NAD83, WGS84, State Plane)
Vertical Datums (Local Tidal, MHW, MLLW, Island
specific)
Temporal variation of the ground (sand, development,
earth moving)
Data source strengths and weaknesses

9. • 5 datasets
• Grids
SRTM, USGS, IfSAR
30m SRTM • Ascii xyz LiDAR
NOAA Terrain LiDAR,
10m USGS SHOALS
5m IfSAR
NOAA – 2m Terrain LiDAR
SHOALS

10. PGF – SOEST University of Hawaii
Contact:
Ben Brooks – bbrooks@hawaii.edu or 956-4492
Todd Ericksen – ericksen@hawaii.edu or 956-9720

12. To consider:
Horizontal Datums (NAD83, WGS84, State Plane)
Vertical Datums (Local Tidal, MHW, MLLW, Island
specific)
Temporal variation of the ground (sand, development,
earth moving)
Data source strengths and weaknesses

13. Conversion to common reference frame
Use a common feature that doesn’t change between
surveys and different resolutions
Occupation times range for T – based LiDAR survey
Migration of databases using
– HNL tide station
datum tool or estimation using
features
Migrate T-based LiDAR= -0.26
m from orthometric to MLLW –
Waialua Bay prediction
No IfSAR data migration
MSL -> MLLW Terrain LiDAR
migration = -0.25 m

14. Identify datasets of interest
Vertical data migration to a common datum (MLLW,
MSL, Local, Ellipsiod)
Merge point features
Interpolate to a surface if using several resolutions

15. Merged Results - SHOALS, IfSAR, Terrain LiDAR, Terrain-based LiDAR

17. Waikiki Blue Line Tour
Terrain Visualization

18. Applications of LiDAR in Hawaii
• Vulnerability studies
• flood, failure, risk
• Feature Change/Extraction
• Environment, infrastructure, development
• Decision Making
• Informed decisions
• Shoreline Change Analysis
• Coastal DEMs
• Accurate mapping of shoreline change
• Vertical definition of the shoreline?

20. 1949
1975
1992
2005

21. LiDAR has added new (hi-resolution) dimensions to
analysis
Refined DEMs to temporal sensitive products
Is easily mobilized for repeat surveys (Terrain-
based LiDAR)
Improved mapping of the environment around us

22. Continuous LiDAR coverage for each island
Vertical Datum definitions of Hawaii (post 1978)
Integrate databases
Points
Rasters
Coverage files and metadata
Vertical datum needs
USACE funded to make repeat LiDAR surveys
every 5 years. SHOALS (1999 – 2000)
to date, no re-fly has happened (partial terrain coverage
2006 – no overlap with existing SHOALS)

24. Points:
1m NGA LiDAR
SHOALS Bathymetry
Rasters:
5m IfSAR DEMs
10m USGS/NOAA DEMs

25. FEMA Coastal LiDAR

26. NOAA/NOS Coastal LiDAR

27. NGA LiDAR