Vertical Accuracy Assessment of Digital Elevation Models Generated by Sentinel 1A: A Case study: Eldabha, EGYPT | ||
| JES. Journal of Engineering Sciences | ||
| Article 2, Volume 54, Issue 1, January 2026, Pages 25-37 PDF (835.4 K) | ||
| Document Type: Case Study | ||
| DOI: 10.21608/jesaun.2025.372829.1470 | ||
| Authors | ||
| Mohamed Ahmed Besheer* 1; Doaa Ahmed Mohamed2; Ahmed Ahmed Sonbaty3; Farrag Ali Farrag4 | ||
| 1Civil engineering department , faculty of engineering, Assuit university, Assuit, Egypt | ||
| 2Director of the spatial state administration, New Valley Governor, Egypt. | ||
| 3Civil Engineering department, faculty of engineering, Assuit university, Egypt | ||
| 4Prof. of surveying and photogrammetry, Civil Eng. Dpt. Faculty of Engineering, Assiut University. | ||
| Abstract | ||
| This research focuses on improving the vertical accuracy of Digital Elevation Models (DEMs) generated from Sentinel-1A satellite imagery. The study investigates the influence of Goldstein filtering, temporal baseline, and perpendicular baseline on DEM accuracy. Two DEMs were created for the Eldabha region using distinct baseline configurations: (a) a 24-day temporal baseline with a 160 m perpendicular baseline, and (b) a 12-day temporal baseline with a 230 m perpendicular baseline. Each DEM was generated both with and without the application of the Goldstein filter. Accuracy assessments were conducted using GNSS data, with evaluation metrics including Root Mean Square Error (RMSE), standard deviation (STD), mean error, and the range of elevation differences. The results indicate that model (b), which utilized the shorter temporal and larger perpendicular baselines along with Goldstein filtering, achieved the highest accuracy, yielding an RMSE of 12.00 meters. The findings underscore the importance of selecting suitable interferometric baselines and applying effective filtering techniques to enhance DEM quality. | ||
| Keywords | ||
| Radar image; interferometry; DEM; sentinel-1A | ||
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