DEM Generation Using a Digital Large Format Frame Camera

Höhle, Joachim

doi:10.14358/pers.75.1.87

Cited by 35 publications

(23 citation statements)

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“…ArcHydro ® was developed as an extension of ArcGIS software, which is suitable for the delineation of watershed boundaries [17]. DEM is a necessary input data for spatial analysis and could be generated using different techniques such as photogrammetry [19,20], interferometry [21], laser scanning [22] and topographic surveys [23].…”

Section: Methodsmentioning

confidence: 99%

Disaster Risk Reduction Based on a GIS Case Study of the Čađavica River Watershed

Ristić

Polovina

Malušević

et al. 2017

SEEFOR

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Section: Methodsmentioning

confidence: 99%

Disaster Risk Reduction Based on a GIS Case Study of the Čađavica River Watershed

Ristić

Polovina

Malušević

et al. 2017

SEEFOR

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“…The height values are based on Earth Gravitational Model of 1996 (EGM96) geoid, and the dataset is referenced horizontally to the World Geodetic System of 1984 (WGS84) ellipsoid [11]. ASTER GDEM was generated using stereo-pair images collected by the ASTER instruments, which is one of major photogrammetric techniques to generate DEMs or any topographic data [12]. Similar to SRTM, the height values are based on WGS84 EGM96 geoid, and the dataset is referenced horizontally to the WGS84 ellipsoid [13].…”

Section: Demmentioning

confidence: 99%

Dem Local Accuracy Patterns in Land-Use/Land-Cover Classification

Katerji¹,

Farjas-Abadía²,

Balsera³

2016

Open Geosciences

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Global and nation-wide DEM do not preserve the same height accuracy throughout the area of study. Instead of assuming a single RMSE value for the whole area, this study proposes a vario-model that divides the area into sub-regions depending on the land-use / landcover (LULC) classi cation, and assigns a local accuracy per each zone, as these areas share similar terrain formation and roughness, and tend to have similar DEM accuracies. A pilot study over Lebanon using the SRTM and ASTER DEMs, combined with a set of 1,105 randomly distributed ground control points (GCPs) showed that even though the input DEMs have di erent spatial and temporal resolution, and were collected using di erent techniques, their accuracy varied similarly when changing over di erent LULC classes. Furthermore, validating the generated vario-models proved that they provide a closer representation of the accuracy to the validating GCPs than the conventional RMSE, by 94% and 86% for the SRTM and ASTER respectively. Geostatistical analysis of the input and output datasets showed that the results have a normal distribution, which support the generalization of the proven hypothesis, making this nding applicable to other input datasets anywhere around the world.

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“…Other investigations were carried out in (Höhle, 2009a) and (Höhle, 2009b) using UltraCam-D and DMC images. The results from these investigations will be used for estimating the impact of the four new digital aerial cameras.…”

Section: Geometric Accuracymentioning

confidence: 99%

“…For example, in (Höhle 2009a) the parallax accuracy has been determined for the UC-D camera (c=101mm, pel'=9µm, b/h=0.27 at p=60%, s' fld =7500pixel) under similar conditions (GSD=6cm, p=60%, q=20%, processing with Match-T) and the parallax accuracy has been σ px' =6.0 µm or 0.67. The average from all three tests is (σ px' /pel') average =0.46 ≈ 0.5.…”

Section: Geometric Accuracymentioning

confidence: 99%

Dem Generation by Means of New Digital Aerial Cameras

Höhle

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Based on practical experiences with the first generation of digital cameras the impact of four new digital aerial cameras on the DEM generation is estimated. The cameras are evaluated with respect to elevation accuracy, area coverage and image quality. In the derived formulae for the absolute accuracy of elevations a camera factor is applied, which summarizes several features in one number. The produced graphs show the potential of the new cameras regarding the relative and absolute accuracy of automatically derived elevations. For better absolute elevation accuracy the increase of the base/height ratio and of the resolving power of lenses are more important than the reduction of the pixel size. Improvement of the elevation accuracy by means of multi-ray photogrammetry is discussed.

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DEM Generation Using a Digital Large Format Frame Camera

Cited by 35 publications

References 1 publication

Disaster Risk Reduction Based on a GIS Case Study of the Čađavica River Watershed

Disaster Risk Reduction Based on a GIS Case Study of the Čađavica River Watershed

Dem Local Accuracy Patterns in Land-Use/Land-Cover Classification

Dem Generation by Means of New Digital Aerial Cameras

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