Applications of LIDAR Data

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Data Discovery Day
03/06/2008
Matthew Barbee
University of Hawaii
SOEST

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Applications of LIDAR Data

  1. 1. Matthew Barbee University of Hawaii Coastal Geology Group CGG Cartographer mbarbee@hawaii.edu 808-956-3605 http://www.soest.hawaii.edu/coastal
  2. 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. 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. 4. Vulnerability studies 1 meter rise movie at http://www.soest.hawaii.edu/coasts/sealevel/waikiki.html
  5. 5. Vulnerability studies http://www.soest.hawaii.edu/coasts/sealevel/Runup_animation.html
  6. 6. Applications of LiDAR in Hawaii • Vulnerability studies • flood, failure, risk • Feature Change • Environment, infrastructure, development • Decision making • Informed choices Waterfront Kaimuki!? Waikiki
  7. 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. 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. 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. 10. PGF – SOEST University of Hawaii Contact: Ben Brooks – bbrooks@hawaii.edu or 956-4492 Todd Ericksen – ericksen@hawaii.edu or 956-9720
  11. 11. 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
  12. 12. 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
  13. 13. 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
  14. 14. Merged Results - SHOALS, IfSAR, Terrain LiDAR, Terrain-based LiDAR
  15. 15. Waikiki Blue Line Tour Terrain Visualization
  16. 16. 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?
  17. 17. 1949 1975 1992 2005
  18. 18. 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
  19. 19. 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)
  20. 20. Points: 1m NGA LiDAR SHOALS Bathymetry Rasters: 5m IfSAR DEMs 10m USGS/NOAA DEMs
  21. 21. FEMA Coastal LiDAR
  22. 22. NOAA/NOS Coastal LiDAR
  23. 23. NGA LiDAR

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