Special Section on Computational Approaches to Imaging LADAR

Accuracy of land surface elevation from CALIPSO mission data

[+] Author Affiliations
Xiaomei Lu

NASA Langley Research Center, 1 Enterprise Parkway Suite 200, Hampton, Virginia 23666, United States

Yongxiang Hu

NASA Langley Research Center, Climate Science Branch, Hampton, Virginia 23681, United States

Opt. Eng. 54(3), 031102 (Oct 14, 2014). doi:10.1117/1.OE.54.3.031102
History: Received May 27, 2014; Revised July 8, 2014; Accepted July 10, 2014
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Abstract.  We assess the accuracy of land surface elevation retrieved from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission through comparisons with the U.S. Geological Survey National Elevation Dataset (NED), Shuttle Radar Topography Mission (SRTM), and the altimetry product from the Geoscience Laser Altimeter System onboard the Ice, Cloud, and Land Elevation Satellite (ICESat). The vertical accuracy of the CALIPSO-derived land surface elevation was tested against these three datasets for about 16 million lidar shots over the continental United States. The results show that the CALIPSO-derived elevation was highly correlated with the elevation result from the NED, SRTM, and ICESat datasets. The overall absolute vertical accuracies of the CALIPSO-derived land surface elevation expressed as the root mean square error (RMSE) are 5.58 and 5.90 m when compared with the SRTM and NED results, respectively. Lower accuracy of the CALIPSO-derived land surface elevation was achieved by comparison with the ICESat results (8.35-m RMSE), primarily due to the several kilometers distance between the CALIPSO and ICESat ground footprints. The results show that the variability in terrain, vegetation, canopy, and footprint size can all influence comparisons between the CALIPSO-derived elevation and the results obtained from NED, SRTM, and ICESat datasets.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Xiaomei Lu and Yongxiang Hu
"Accuracy of land surface elevation from CALIPSO mission data", Opt. Eng. 54(3), 031102 (Oct 14, 2014). ; http://dx.doi.org/10.1117/1.OE.54.3.031102


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