Bayburt, S.; Kurtak, A.B.; Büyüksalih, G.; Jacobsen, K.: Geometric accuracy analysis of worlddem in relation to AW3D30, srtm and aster GDEM2. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2017), Nr. 1W1, S. 211-217. DOI: https://doi.org/10.5194/isprs-archives-XLII-1-W1-211-2017
Abstract: | |
In a project area close to Istanbul the quality of WorldDEM, AW3D30, SRTM DSM and ASTER GDEM2 have been analyzed in relation to a reference aerial LiDAR DEM and to each other. The random and the systematic height errors have been separated. The absolute offset for all height models in X, Y and Z is within the expectation. The shifts have been respected in advance for a satisfying estimation of the random error component. All height models are influenced by some tilts, different in size. In addition systematic deformations can be seen not influencing the standard deviation too much. The delivery of WorldDEM includes information about the height error map which is based on the interferometric phase errors, and the number and location of coverage's from different orbits. A dependency of the height accuracy from the height error map information and the number of coverage's can be seen, but it is smaller as expected. WorldDEM is more accurate as the other investigated height models and with 10m point spacing it includes more morphologic details, visible at contour lines. The morphologic details are close to the details based on the LiDAR digital surface model (DSM). As usual a dependency of the accuracy from the terrain slope can be seen. In forest areas the canopy definition of InSAR X- and C-band height models as well as for the height models based on optical satellite images is not the same as the height definition by LiDAR. In addition the interferometric phase uncertainty over forest areas is larger. Both effects lead to lower height accuracy in forest areas, also visible in the height error map. | |
License of this version: | CC BY 3.0 Unported |
Document Type: | Article |
Publishing status: | publishedVersion |
Issue Date: | 2017 |
Appears in Collections: | Fakultät für Bauingenieurwesen und Geodäsie |
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China | 40 | 13.70% |
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United States | 38 | 13.01% |
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Italy | 5 | 1.71% |
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