| 2nd International Conference on Sustainable Engineering Techniques | |
| Accuracy Assessment of Digital Elevation Model (DEM) Data Obtained from ASTER Satellite in Flat Land | |
| 工业技术(总论) | |
| Azeez, Mohammed H.^1 ; Abdulkareem, Imzahim^2 | |
| Surveying Department, Southern Technical University, Technical Institute in Al-shtraa, Iraq^1 | |
| Civil Engineering Department, University of Technology, Baghdad, Iraq^2 | |
| 关键词: Accuracy assessment; Digital elevation model; Global Navigation Satellite Systems; Near-infrared wavelength; Remote sensing system; Root-means-square errors; Scientific discipline; Transformation equationss; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/518/2/022059/pdf DOI : 10.1088/1757-899X/518/2/022059 |
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| 学科分类:工业工程学 | |
| 来源: IOP | |
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【 摘 要 】
It is important to investigate the accuracy of Digital Elevation Models (DEMs) because of their crucial impact on all engineering and scientific disciplines. Photogrammetry, traditional surveying, remote sensing systems and satellite whole DEMs output methods. In this paper include the DEM data produced by the ASTER satellite (Band near-infrared wavelength region from 0.78 to 0.86 μm), where tested and evaluation DEM data for an area of 100 square kilometers in Al-Shtra city. The technique used to evaluate was twofold: first method was to use statistical methods; second method is to take advantage of applied linear transformation equation to detect the gap between Z-DEM and Z-Global Navigation Satellite System (GNSS) (which represents reality (. The result of a root means square error (RMSE) is 5.087m, where it was calculated based on the observed data in the field using GNSS. And standard deviation error (SDT err) was 5.088 m, while after applied linear transformation equation the RMSE reduction to about 80%, which indicates a large bias between the Z-DEM and Z-GPS.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Accuracy Assessment of Digital Elevation Model (DEM) Data Obtained from ASTER Satellite in Flat Land | 1145KB |
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