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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Dataset for a Feasibility Study for Accelerated Reference Point Determination Using Close Range Photogrammetry

Authors: Eschelbach, Cornelia; Lösler, Michael;

Dataset for a Feasibility Study for Accelerated Reference Point Determination Using Close Range Photogrammetry

Abstract

The Global Geodetic Observing System (GGOS) aims for an accuracy of 1 mm in position concerning a global geodetic reference frame such as the International Terrestrial Reference Frame (ITRF). To derive a global frame, several space geodetic techniques are combined. The combination procedure requires the geometric relations between the invariant reference points of these techniques, the so-called local tie vectors. Each space geodetic technique defines its reference point individually, so the determination of the position of the reference point varies significantly between techniques. Within the international GeoMetre project, measurement systems and analysis strategies are developed to improve the quality of local tie vectors and, thus, the quality of the resulting global frame. The use of close range photogrammetry to determine the reference point of a telescope used for Satellite Laser Ranging (SLR) at the GGOS core station Wettzell in September 2020 is considered as a milestone in this project. This contribution deals with a novel approach for an accelerated reference point determination using close range photogrammetry. In comparison to the conventional photogrammetric approach, published so far, this new approach leads to a significant reduction in recording time. However, in case of inappropriate measurement configuration the approach also bears the risk of biased results. Most importantly, the new approach has the potential to be automated, which is one of the primary calls of GGOS for reference point determinations.

The data files define the incommings of the adjustment process, which were used to derive the reference point w.r.t. DOY 262 and 263: Eschelbach, C., Lösler, M.: A Feasibility Study for Accelerated Reference Point Determination Using Close Range Photogrammetry. 5th Joint International Symposium on Deformation Monitoring (JISDM), 20-22 June 2022, Polytechnic University of Valencia (UPV), Valencia, Spain, 2022. doi:10.4995/JISDM2022.2022.13417 Acknowledgement: This dataset was obtained within the 18SIB01 GeoMetre project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.

Related Organizations
Keywords

Close range photogrammetry, Satellite laser ranging, GeoMetre, Bundle adjustment, Reference point determination, 18SIB01

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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