Evaluation and Validation of Recent  Freely-Available ASTER-GDEM V.2, SRTM V.4.1 and the DEM Derived from  Topographical Map over SW Grombalia (Test Area) in North East of Tunisia

Ouerghi, Sarra; Elsheikh, Ranya Fadlalla Abdalla; Bouazi, Samir

doi:10.4236/jgis.2015.73021

Cited by 14 publications

(8 citation statements)

References 8 publications

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“…Furthermore, the horizontal error is stated to be an East/West shift of −0.13 arc-seconds and North/South shift of 0.19 arc-seconds when compared to the 10-m mesh DEM produced by the Geographical Survey Institute (GIS) of Japan [34] [35]. Recent studies were carried out on the earth's lowest elevation: the Dead Sea (Jordan) to test the validity of ASTER DEM [36], and to compare ASTER DEM, and SRTM (the Shuttle Radar Topographic Mission) DEM against a referenced DEM constructed from 1:25,000 scale topographic map [37]. It is reported that the overall accuracy of the DEM is in line with the reported official accuracy specifications [36].…”

Section: Methodsmentioning

confidence: 99%

“…In this regard, SRTM DEM is comparatively more accurate than ASTER DEM, but with 90 m resolution, whereas, ASTER DEM is of 30 m spatial resolution. However, both DEMS are employed heavily at present to delineate watershed and sub-watershed boundaries, and drainage networks, to derive and calculate drainage morphometric information, and to establish cross sections [37]. Considering the Ras En Naqb area, which consists mostly of bare land and arid climate, along with the availability of ASTER DEM (30 m spatial resolution), and the Arc GIS tools, both were employed to derive, and calculate the morphometric parameters of the Ras En Naqb watersheds.…”

Section: Methodsmentioning

confidence: 99%

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Morphometric Analysis and Flash Floods Assessment for Drainage Basins of the Ras En Naqb Area, South Jordan Using GIS

Farhan¹,

Anaba²,

Salim³

2016

GEP

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Morphometric analysis and flash floods assessment were conducted for the watersheds of Ras En Naqb escarpment, south Jordan. The study area comprises of twelve small watersheds occupying the faulted-erosional slopes, and the dip slopes. The drainage network shows that dendritic and sub-dendritic patterns dominated the dip slopes, whereas trellis pattern characterized the faultederosional slopes. Stream orders range from fourth to sixth order. The mean bifurcation ratios vary between 4.2 and 5.38 for the dip slope basins, and between 3.5 and 5.0 for the faulted-erosional slope watersheds, indicating a noticeable influence of structural disturbances (i.e., faulting and uplifting), and rejuvenation of drainage networks. All watersheds have short basin lengths, ranging from 23.8 km to 42.2 km for the dip slope basins, and between 15.3 km and 45.4 km for the faulted-erosional slope catchments. This is indicative of high flooding susceptibility associated with heavy rainstorms of short duration. The circularity ratios range from 0.177 to 0.704 which denote that the catchments are moderately circular on the faulted-erosional slopes, and to some extent elongated on the dip slopes. The length of overland flow values ranges from 0.854 to 0.924 for the dip slope catchments, whereas LO values for the faulted-erosional slopes vary from 0.793 to 0.945 denoting steep slopes and shorter paths on both dip slope and faulted-erosional slope watersheds. Values of stream frequency range from 1.509 to 1.692 for the dip slope, and from 1.688 to 2.0 for the faulted-erosional slope catchments. FS values are also indicative of slope steepness, low infiltration rate, and high flooding potential. The watersheds of the dip slopes show lower values of form factor varying from 0.079 to 0.364, indicating elongated shape and suggesting a relatively flat hydrograph peak for longer duration. Similarly, values of Dd are high for catchments on the dip slope basins (1.709-1.85) and the faulted-erosional slope watersheds (1.587-2.0) indicating highly dissected topography, high surface runoff, low infiltration rate, and consequently high flooding potential. Furthermore, high relief values exist, ranging from 388 m to 714 m for the dip slope basins, and from 421 m to 846 m for the faulted-erosional slope catchments indicting high relief and steep slopes. Morphometric analysis, and flash flood assessment suggest that ten watersheds (83.3%) are categorized under high and intermediate flooding susceptibility, and the Y. Farhan et al. 10 faulted-erosional slope catchments are more hazardous in terms of flooding. Thus the protection of Ma'an, El Jafr rural Bedouin settlements, and Amman-Aqaba highway from recurrent flooding is essential to ensure sustainable future development in Ras En Naqb-Ma'an area.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Morphometric Analysis and Flash Floods Assessment for Drainage Basins of the Ras En Naqb Area, South Jordan Using GIS

Farhan¹,

Anaba²,

Salim³

2016

GEP

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“…In Nigeria, Menegbo and Doosu [31] demonstrated that SRTM-V4.1 and ASTER-V2.1 DEM absolute vertical accuracies with reference to GPS ground control station are, respectively, ± 6.30 m and ± 8.86 m. Using a large scale topographic map for validation purposes in north-east of Tunisia, Ouerghi et al [32] showed a satisfactory vertical accuracies ± 7.62 m for SRTM and ± 10.53 m for ASTER. They also discussed the significant accuracy of watershed delineation and drainage system extraction using SRTM-V4.1 data than ASTER-V2.1 DEM.…”

Section: Aster and Srtm Dems Accuracies Assessment: Literature Reviewmentioning

confidence: 99%

Small Islands DEMs and Topographic Attributes Analysis: A Comparative Study among SRTM-V4.1, ASTER-V2.1, High Topographic Contours Map and DGPS

Bannari¹,

Kadhem²,

Hameid³

et al. 2017

JEASE

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Rising sea levels due to global warming and climate change impact may prove a disaster for small islands. Accurate DEM can help to understand SLR (sea level rise) impact, coastal zones flooding risks assessment and hydrological attributes modeling and extraction. Currently, DEMs are available from several different sources using active and passive remote sensing systems. This research compares absolute surface heights accuracies retrieved from three independent DEMs datasets. The Shuttle Radar Topographic Mission (SRTM-V4.1) and the Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER-V2.1) with 30-m pixel size, and a DEM-5 of 5-m spatial resolution generated from high topographic contour lines map at scale of 1:5,000 using simple Kriging interpolation method. Moreover, topographic attributes (slope and aspect) have been retrieved and compared. For the elevations validation purposes, a dataset of 400 GCPs uniformly distributed over the study site were used. These were measured using a DGPS assuring ± 1 and ± 2 cm accuracies, respectively, for planimetry and altimetry. The obtained results show that globally the landscape scale plays an important role in the selection of the DEM pixel size, which must reflect the real topographic attributes. Indeed, the derived DEM-5 from high topographic contours map (1:5,000) using simple Kriging exhibit the best accuracy of ± 0.65 m which is less than the tolerance or the total error (± 0.78 m) calculated based on errors sources propagation. Then, the results show an accuracy of ± 3.00 m for SRTM-V4.1 with which is less than the absolute vertical height accuracy (± 5.6 m) advocated by NASA for African continent and Middle-East regions. As well, the achieved ASTER accuracy was ± 8.40 m compared to the estimated error (± 17.01 m) by USGS and JAXA. Obviously, high spatial resolution and accurate DEM-5 is a crucial requirement to simulate and evaluate costal zones inundation under different SLR and storm flow scenarios for small islands. Decidedly, the elevation of small islands with topographic features not higher than 134 m can be estimated using SRTM-V4.1 with relatively acceptable accuracy. Whereas, this DEM is not significantly consistent for accurate SLR scenarios simulations. Without doubt, ASTER-V2.1 DEM was an excellent alternative compared to SRTM with 90-m pixel size, but actually with SRTM-V4.1 full resolution (30-m) ASTER-V2.1 will likely see its limited uses in geosciences applications. Indeed, ASTER is not providing accurate information to simulate the impact of SLR scenarios on small islands.

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“…A DEM can be acquired from different sources, including ground-based surveys [ 15 , 16 , 17 , 18 ], basic topographic maps [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ] and remote sensing technique [ 8 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ]. Many studies have been simultaneously conducted with the DEM generation by using interferometry synthetic aperture radar (InSAR) technique [ 9 , 27 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models

Mohammadi

Karimzadeh

Jalal

et al. 2020

Sensors

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Digital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land surface information, including slope, aspect, rivers, and curvature. Therefore, DEM quality and accuracy will affect the extracted features and the whole process of modeling. Despite freely available DEMs from various sources, many researchers generate this information for their areas from various observations. Sentinal-1 synthetic aperture radar (SAR) images are among the best Earth observations for DEM generation thanks to their availabilities, high-resolution, and C-band sensitivity to surface structure. This paper presents a comparative study, from a hydrological point of view, on the quality and reliability of the DEMs generated from Sentinel-1 data and DEMs from other sources such as AIRSAR, ALOS-PALSAR, TanDEM-X, and SRTM. To this end, pair of Sentinel-1 data were acquired and processed using the SAR interferometry technique to produce a DEM for two different study areas of a part of the Cameron Highlands, Pahang, Malaysia, a part of Sanandaj, Iran. Based on the estimated linear regression and standard errors, generating DEM from Sentinel-1 did not yield promising results. The river streams for all DEMs were extracted using geospatial analysis tool in a geographic information system (GIS) environment. The results indicated that because of the higher spatial resolution (compared to SRTM and TanDEM-X), more stream orders were delineated from AIRSAR and Sentinel-1 DEMs. Due to the shorter perpendicular baseline, the phase decorrelation in the created DEM resulted in a lot of noise. At the same time, results from ground control points (GCPs) showed that the created DEM from Sentinel-1 is not promising. Therefore, other DEMs’ performance, such as 90-meters’ TanDEM-X and 30-meters’ SRTM, are better than Sentinel-1 DEM (with a better spatial resolution).

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Evaluation and Validation of Recent Freely-Available ASTER-GDEM V.2, SRTM V.4.1 and the DEM Derived from Topographical Map over SW Grombalia (Test Area) in North East of Tunisia

Cited by 14 publications

References 8 publications

Morphometric Analysis and Flash Floods Assessment for Drainage Basins of the Ras En Naqb Area, South Jordan Using GIS

Morphometric Analysis and Flash Floods Assessment for Drainage Basins of the Ras En Naqb Area, South Jordan Using GIS

Small Islands DEMs and Topographic Attributes Analysis: A Comparative Study among SRTM-V4.1, ASTER-V2.1, High Topographic Contours Map and DGPS

A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models

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