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- Title
Enhancing SRTM digital elevation data using ANUDEM algorithm for delineation of drainage pattern in flat terrain: case study Al Qweek River, Aleppo, Syria.
- Authors
Abo, Rudy; Merkel, Broder
- Abstract
The objective of this study is to enhance the quality of the 3 arc-second SRTM v2 elevation model by integrating Ground Control Points (GCPs), Lidar data of the Geoscience Laser Altimeter System (GLAS), and regional spatial information using the drainage enforcement algorithm (ANUDEM). The algorithm is also used to promote the tracing efficiency of hydrological drainage network in Al Qweek valley. Despite the effect of vegetation and urbanization, Digital Elevation Models (DEMs) render detailed three-dimensional replication of the earth surface derived by topographic survey or satellite observations. These models are being used in many applications of geology, geomorphological sciences, hydrogeology, hydrology and natural water resource management in the last decades. Nowadays and after the accelerating technological revolution, ground elevation data at different resolutions are provided for free or by paying Government institutions, research centers, and enterprises. Delineation of hydrological drainage pattern is one of DEMs applications, and it is the key challenge facing researchers in the field of the geographic information system (GIS) and hydrology, particularly in flat terrains. Therefore, high resolution DEMs are usually required to indicate small changes on the terrain surface. Therefore, DEM enhancement is carried out in the study region in the southern part of Aleppo basin, which is characterized by a flat topography and a semi-arid environment. The validity of the enhanced DEM is statistically investigated using different approaches, including histogram and regression analyses, dataset variation, and profile lines statistics considering SRTM90, DLR SRTM30, commercial NEXTmap World30 and the GeoEye-1 high-resolution elevation data. The results show a good convergence between the enhanced DEM and World30 datasets in flat areas of Al Qweek valley, with elevation difference ranges from 1-2 m and an average standard deviation SD= 1.68 m. The calculated residual mean squared error (RMSE) in the enhanced data varies from 0.67 to 2.10 m with respect to topographic and CLAS GCPs, respectively, while RMSE = 1.44 m between the enhanced DEM and the GeoEye-1 elevation model. The results also show significant improvement in tracing performance of the drainage network in the region and reveal the lowest horizontal displacement (0.5-25 m) from the actual drainage lines in comparison with other DEMs.
- Publication
FOG - Freiberg Online Geoscience, 2015, Vol 38, p25
- ISSN
1434-7512
- Publication type
Academic Journal