Authors / CoAuthors
Sullivan, J.
Abstract
Presented here is a method to create a 1-second Seamless Coastal Digital Elevation Model (SCDEM) from 1-meter resolution LiDAR-derived DEMs The process is used to make three surfaces using three statistics: -Mean - provides elevation for each cell -Range - an absolute indication of roughness or terrain variability for each cell -Standard Deviation - a normalised indication of roughness or terrain variability for each cell The Seamless Coastal DEM creation process can be broken into several phases: 1.Calculation of summary statistics and creation of DEMs for each survey area at the desired resolution (projected coordinate system) 2.Resampling all DEMs to 1-second (geographic coordinate system) 3.Identifying the area of least difference (seamline) using a delta-surface of overlapping survey areas 4.Re-shaping survey outlines along seamlines 5.Clipping summary statistic DEMs along re-shaped survey outlines 6.Mosaicking all surveys together into a seamless DEM The SCDEM creation process has been largely automated; scripts have been created to accomplish steps 1, 5 and 6 (which are the most time-intensive steps). Steps 2, 3, and 4 are conducted manually for each area where overlapping surveys exist. The SCDEM has been tested against the control points provided with the original LiDAR surveys, and it has been found to have a lower RMSE [2.02m] than any existing 1-second elevation datasets: the Shuttle Radar Topography Mission (SRTM) DEM [2.78m] and the smoothed version of the SRTM DEM [2.61m].
Product Type
nonGeographicDataset
eCat Id
81899
Contact for the resource
Custodian
Owner
Custodian
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- External PublicationReport
- ( Theme )
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- marine
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
Publication Date
2014-01-01T00:00:00
Creation Date
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Maintenance Information
asNeeded
Topic Category
elevation
Series Information
Lineage
Unknown
Parent Information
Extents
Reference System
Spatial Resolution
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