Accuracy Assessment of Digital Elevation Models Produced From Different Geomatics Data

Abdulkareem, Imzahim; Samuel, Zina Walid; Abdullah, Qassim K.

doi:10.30684/etj.v38i11A.1318

	Accuracy Assessment of Digital Elevation Models Produced From Different Geomatics Data
Engineering and Technology Journal
Article 2, Volume 38, 11A, 2020, Pages 1580-1592 PDF (1.98 M)
Document Type: Research Paper
DOI: 10.30684/etj.v38i11A.1318
Authors
Imzahim Abdulkareem¹; Zina Walid Samuel²; Qassim K. Abdullah^* ³
¹university of technology
²Civil Engineering Department, University of Technology, Baghdad ,Iraq
³Civil Engineering Department, University of Technology, Baghdad, Iraq,
Abstract
Digital Elevation Models (DEM) are now being used in several geospatial applications. DEMs play an important role in the preliminary surveys for constructing dams and reservoirs, highways, canals, and projects in which earth work is essential. In many remote sensing applications, DEMs have become a significant tool for InSAR (Interferometric Synthetic Aperture Radar) processing, ground cover classification and images ortho-rectification. In this study, the accuracy of DEMs obtained from ALOS V1.1, ASTER V2, SRTM V3 and other obtained from a pair of Pleiades high-resolution (PHR) 1B satellites in a study area were evaluated after comparing them with high accuracy GNSS/RTK checkpoints. The SRTM3, ALOS V1.1, ASTER V2 DEM revealed a Root Mean Square Error (RMSE) of 2.234m, 0.838m, and 15.116m respectively; while the DEM which is produced from a 0.5m resolution of Pleiades 0.5m shows an RMSE of 0.642m. The correct bias Linear transformation algorithm was used and the RMSE results were: SRTM V3 (1.319m), ALOS V1.1 (0.830m), ASTER V2 (3.815m), and PHR (0.433m). The results showed that the ALOS V1.1 model is the most accurate of the open source models followed by the SRTM V3 model and then followed by ASTER V2. The results obtained from a pair by Pleiades high-resolution (PHR) 1B satellites show a higher accuracy than the results obtained from the open source models.
Keywords
accuracy assessment; DEM; Open source; remote sensing

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