Preprints
https://doi.org/10.5194/osd-4-399-2007
https://doi.org/10.5194/osd-4-399-2007
26 Apr 2007
 | 26 Apr 2007
Status: this preprint was under review for the journal OS. A revision for further review has not been submitted.

LIDAR vs. GEODAS land elevation data in hurricane induced inundation modelling

M. Peng, L. J. Pietrafesa, S. Bao, H. Liu, M. Xia, and T. Yan

Abstract. LIDAR (Light Detection and Ranging) and GEODAS (GEOphysical DAta System) are respectively taken as the land elevation data for a 3-D storm surge and inundation model to investigate the subsequent inundation differences. Hilton Head, South Carolina, and Croatan-Albemarle-Pamlico Estuary System (CAPES), North Carolina, are the two investigated regions. Significant inundation differences with LIDAR versus GEODAS are found in both regions. The modeled inundation area with GEODAS is larger than with LIDAR. For Category 2–3 hypothetical hurricanes, the maximum inundation difference in Hilton Head region is 67%, while the difference in the CAPES is 156%. Generally, vertical precision difference of the two databases is the major reason for the inundation difference. Recently constructed man-made structures, not included in the GEODAS, but included in the LIDAR data sets may be another contributing reason.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
M. Peng, L. J. Pietrafesa, S. Bao, H. Liu, M. Xia, and T. Yan
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
M. Peng, L. J. Pietrafesa, S. Bao, H. Liu, M. Xia, and T. Yan
M. Peng, L. J. Pietrafesa, S. Bao, H. Liu, M. Xia, and T. Yan

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