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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W13
https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 Jun 2019
| 04 Jun 2019
TOWARDS A HIGH-RESOLUTION DRONE-BASED 3D MAPPING DATASET TO OPTIMISE FLOOD HAZARD MODELLING
D. Backes
Research Unit Engineering Science, University of Luxembourg, 6 rue Richard Coudenhove-Kalergi, L-1359 Luxembourg
G. Schumann
RSS-Hydro Sarl-S, Dudelange Innovation Hub, route de Volmerange, L-3593 Dudelange, Luxembourg
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
F. N. Teferle
Research Unit Engineering Science, University of Luxembourg, 6 rue Richard Coudenhove-Kalergi, L-1359 Luxembourg
J. Boehm
Dept. of Civil, Environmental and Geomatic Engineering, University College London, Gower Street, London, WC1E 6BT, UK
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Revised manuscript not accepted
Short summary
Short summary
GPS can remotely sense integrated atmospheric water vapour and in-doing so improve e.g. the accuracy of assimilated numerical weather models. Specially, GPS is well suited in the study of the atmospheric conditions since it is increasingly deployed ever widely around the globe. In this research, we used trend estimates of Zenith Total Delay series and provide a most recent picture of trend and their uncertainties which are used widely to interpret a change in climate.
Tzvetan Simeonov, Dmitry Sidorov, Felix Norman Teferle, Georgi Milev, and Guergana Guerova
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-152, https://doi.org/10.5194/amt-2016-152, 2016
Revised manuscript not accepted
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