ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 193-198, 2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
20 Jul 2012
T. Tadono1, J. Takaku2, and M. Shimada1 1Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki, Japan
2Remote Sensing Technology Center of Japan (RESTEC), Tokyo, Japan
Keywords: DEM/DTM, Global, Satellite, Instruments, Performance Abstract. This study aims to evaluate height accuracy of two datasets obtained by spaceborne optical instruments of a digital elevation data for a large-scale area. The digital surface model (DSM) was generated by the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed 'Daichi'), and the global digital elevation model (DEM) version 2 (GDEM-2) was derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) onboard NASA's TERRA satellite. The test site of this study was the entire country of Bhutan, which is located on the southern slopes of the eastern Himalayas. Bhutan is not a large country, covering about 330 km from east to west, and 170 km from north to south; however, it has large height variation from 200 m to more than 7,000 m. This therefore makes it very interesting for validating digital topographic information in terms of national scale generation as well as wide height range.

Regarding the reference data, field surveys were conducted in 2010 and 2011, and collected ground control points by a global positioning system were used for evaluating precise height accuracies in point scale as check points (CPs), with a 3 arc-sec DEM created by the Shuttle Radar Topography Mission (SRTM-3) used to validate the wide region. The results confirmed a root mean square error of 8.1 m for PRISM DSM and 29.4 m for GDEM-2 by CPs.

Conference paper (PDF, 2552 KB)

Citation: Tadono, T., Takaku, J., and Shimada, M.: VALIDATION STUDY ON ALOS PRISM DSM MOSAIC AND ASTER GDEM 2, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 193-198,, 2012.

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