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 - SHOALSArmy Corp of Engineers shoals.sam.usace.army.mil/hawaii/pages/Hawaii_Data.htmUH Coastal Geology Website http://www.soest.hawaii.edu/coasts/data Terrain LiDARNOAA LDART - http://maps.csc.noaa.gov/TCM/NGA LiDAR not available onlineFEMA LiDAR not available online Terrain-based LiDARUniversity 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 DEMshttp://ned.usgs.govhttp://ccma.nos.noaa.gov/products/biogeography/mapping/dems/index.shtml 5m IfSAR DEMshttp://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 GridsSRTM, USGS, IfSAR 30m SRTM Ascii xyz LiDAR NOAA Terrain LiDAR, 10m USGSSHOALS 5m IfSARNOAA 2m Terrain LiDARSHOALS 10. PGF SOEST University of Hawaii Contact:Ben Brooks bbrooks@hawaii.edu or 956-4492Todd Ericksen ericksen@hawaii.edu or 956-9720 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. Conversion to common reference frameUse a common feature that doesnt change betweensurveys 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. 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. Merged Results - SHOALS, IfSAR, Terrain LiDAR, Terrain-based LiDAR 15. Waikiki Blue Line Tour Terrain Visualization 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. 1949 1975 1992 2005 18. LiDAR has added new (hi-resolution) dimensions to analysis Refined DEMs to temporal sensitive productsIs easily mobilized for repeat surveys (Terrain- based LiDAR) Improved mapping of the environment around us 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. Points: 1m NGA LiDAR SHOALS Bathymetry Rasters: 5m IfSAR DEMs 10m USGS/NOAA DEMs 21. FEMA Coastal LiDAR 22. NOAA/NOS Coastal LiDAR 23. NGA LiDAR