| Title | Merging of airborne elevation data and Radarsat data to develop a Digital Elevation Model |
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| Author | Baghadi, N; Cavelier, S; Chiles, J -P; Bourgine, B; Toutin, Th; King, C; Daniels, P; Perrin, J; Truffert, C |
| Source | International Journal of Remote Sensing vol. 26, no. 1, 2005 p. 141-166, https://doi.org/10.1080/01431160410001709020 |
| Year | 2005 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043274 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 2007 02 22 |
| Abstract | A Digital Elevation Model (DEM) has been developed for a site in French Guiana by merging airborne elevation data with a stereo-radargrammetric DEM. Two Synthetic Aperture Radar (SAR) images were
available from the Radarsat sensor acquired in S2 standard and F5 fine modes, as well as airborne laser and radar data distributed along flight lines with a 500-m spacing giving a data interval of every 7m for the laser data and every 70m for the
radar data. The radargrammetric DEM was extracted using a regular 50m650m grid pattern from the Radarsat images and its accuracy estimated. Pre-processing of the airborne data enabled the anomalous points to be discarded and the top-ofcanopy points
to be selected. Kriging was then applied to merge elevations from the DEM, not very accurate but dense, with those from the airborne altimeters, accurate but irregular and sparse. Two types of kriging were performed: (1) kriging of the difference
between DEM elevations and airborne data, which was then subtracted from the radargrammetric DEM, and (2) direct kriging of
airborne data when radargrammetric DEM elevations were unsatisfactory. Merging significantly improved the accuracy of the
radargrammetric DEM. The standard deviation of elevation errors fell from 21.2m to 13.8m or from 25.3m to 11.0 m, depending on the check source adopted. |
| GEOSCAN ID | 220076 |
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