2015 NOAA Lidar: Pelekane, HI

This delivery contains the result of a lidar study over the Pelekand Watershed in Hawai. The deliverables of this project include the classified lidar point cloud. The dataset was processed within LP360 and Terrasolid. The general tiling scheme for the DEM grids and the lidar data is made of 15 tiles of 3'000 x 3'000 m. The lidar is stored in LAS 1.4 PDRF6. The elevations are in meters.

Watershed analysis

This data was collected in NAD83(PA11) ellipsoid heights. NGS Geoid models may be applied by the Digital Coast Data Access Viewer or in the Digital Coast bulk download site. It should be noted that as of 2018, no NGS Geoid model provides the orthometric datum for Hawaii (local mean sea level). The difference is expected to be spatially variable and is unknown except at the tide gauges.

Class 0: Untouched, Class 1: Unclassified, Class 2: Ground, Class 3: Low Vegetation, Class 4: Medium Vegetation, Class 5: High Vegetation, Class 6: Building, Class 7: Low point, Class 9: Water, Class 17: Bridge Deck, Class 18: High Noise.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data is available online for custom downloads

None

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

LP360 2014.1.51.1; MicroStation v8i 08.11.09.357; TerraScan v8i 015.022; Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143

0.173 meters at 95% confidence.

Ground check points were surveyed on the hardest and flatest surfaces available. Due to the remote location of the area of interest, hard, flat surfaces like roads were not always available. The relationship between surveyed and lidar points was analyzed in order to determine the elevation difference and root square mean error (RMSEz) for the dataset. An automated tool in Terrascan was used to perform the analysis. Vertical accuracy value reported as ASPRA-NSDDA accuracy(z)(95%) in m.

Automatic qualitative assessments were performed to gauge data completeness. Automatic qualitative assessments were performed to gauge absolute vertical accuracy. Automatic and visual qualitative assessments were performed to gauge relative vertical accuracy. The software packages utilized to perform the assessments were Terrascan, LP360 and Lastools.

Lidar was flown from aircraft to produce a point cloud. Points were identified (classified) by type.