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




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




      http://www.soest.hawaii.edu/coasts/sealevel/Runup_animation.html
Applications of LiDAR in Hawaii

• Vulnerability studies
   • flood, failure, risk
• Feature Change
   • Environment, infrastructure, development
• Decision making
   • Informed choices
Waterfront Kaimuki!?




                            Waikiki
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?
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
•   5 datasets

                   •   Grids
                               SRTM, USGS, IfSAR
30m SRTM           •   Ascii xyz LiDAR
                            NOAA Terrain LiDAR,
    10m USGS                SHOALS

               5m IfSAR

    NOAA – 2m Terrain LiDAR

                                      SHOALS
PGF – SOEST University of Hawaii




                Contact:
                           Ben Brooks – bbrooks@hawaii.edu or 956-4492
                           Todd Ericksen – ericksen@hawaii.edu or 956-9720
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
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
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
Merged Results - SHOALS, IfSAR, Terrain LiDAR, Terrain-based LiDAR
Waikiki Blue Line Tour



                         Terrain Visualization
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?
1949


1975


1992




2005
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
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)
Points:
  1m NGA LiDAR
  SHOALS Bathymetry
Rasters:
  5m IfSAR DEMs
  10m USGS/NOAA DEMs
FEMA Coastal LiDAR
NOAA/NOS Coastal LiDAR
NGA LiDAR
Applications of LIDAR Data

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Applications of LIDAR Data

  • 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
  • 11.
  • 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
  • 16.
  • 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?
  • 19.
  • 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)
  • 23.
  • 24. Points: 1m NGA LiDAR SHOALS Bathymetry Rasters: 5m IfSAR DEMs 10m USGS/NOAA DEMs