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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W6
https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017
© Author(s) 2017. 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-W6-399-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
24 Aug 2017
| 24 Aug 2017
POINT CLOUD ANALYSIS FOR UAV-BORNE LASER SCANNING WITH HORIZONTALLY AND VERTICALLY ORIENTED LINE SCANNERS – CONCEPT AND FIRST RESULTS
M. Weinmann
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany
M. S. Müller
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany
M. Hillemann
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany
N. Reydel
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany
S. Hinz
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany
B. Jutzi
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany
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Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann
Earth Syst. Sci. Data, 14, 5287–5307, https://doi.org/10.5194/essd-14-5287-2022, https://doi.org/10.5194/essd-14-5287-2022, 2022
Short summary
Short summary
In this study, a comprehensive multi-disciplinary dataset for tropospheric water vapor was developed. Geodetic, photogrammetric, and atmospheric modeling and data fusion techniques were used to obtain maps of water vapor in a high spatial and temporal resolution. It could be shown that regional weather simulations for different seasons benefit from assimilating these maps and that the combination of the different observation techniques led to positive synergies.
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 357–364, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, 2020
P. Hübner, M. Weinmann, and S. Wursthorn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 79–86, https://doi.org/10.5194/isprs-annals-V-4-2020-79-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-79-2020, 2020
Marion Heublein, Patrick Erik Bradley, and Stefan Hinz
Ann. Geophys., 38, 179–189, https://doi.org/10.5194/angeo-38-179-2020, https://doi.org/10.5194/angeo-38-179-2020, 2020
M. Hillemann, J. Meidow, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 119–125, https://doi.org/10.5194/isprs-archives-XLII-2-W16-119-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-119-2019, 2019
M. S. Mueller, T. Sattler, M. Pollefeys, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 111–119, https://doi.org/10.5194/isprs-annals-IV-2-W7-111-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-111-2019, 2019
B. Ruf, T. Pollok, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 137–144, https://doi.org/10.5194/isprs-annals-IV-2-W7-137-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-137-2019, 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 915–917, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, 2019
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1825–1826, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019, 2019
M. Weinmann and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1899–1906, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1899-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1899-2019, 2019
S. Schmitz, M. Weinmann, and B. Ruf
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 581–588, https://doi.org/10.5194/isprs-archives-XLII-2-W13-581-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-581-2019, 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 313–315, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, 2019
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 607–608, https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019, 2019
B. Jutzi, M. Weinmann, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 1–3, https://doi.org/10.5194/isprs-annals-IV-1-1-2018, https://doi.org/10.5194/isprs-annals-IV-1-1-2018, 2018
K. Chen, M. Weinmann, X. Sun, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 29–36, https://doi.org/10.5194/isprs-annals-IV-1-29-2018, https://doi.org/10.5194/isprs-annals-IV-1-29-2018, 2018
R. Gabriel, S. Keller, J. Matthes, P. Waibel, H. B. Keller, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 53–60, https://doi.org/10.5194/isprs-annals-IV-1-53-2018, https://doi.org/10.5194/isprs-annals-IV-1-53-2018, 2018
S. Keller, F. M. Riese, J. Stötzer, P. M. Maier, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 101–108, https://doi.org/10.5194/isprs-annals-IV-1-101-2018, https://doi.org/10.5194/isprs-annals-IV-1-101-2018, 2018
G. Mandlburger and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 109–116, https://doi.org/10.5194/isprs-annals-IV-1-109-2018, https://doi.org/10.5194/isprs-annals-IV-1-109-2018, 2018
M. S. Mueller, A. Metzger, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 117–124, https://doi.org/10.5194/isprs-annals-IV-1-117-2018, https://doi.org/10.5194/isprs-annals-IV-1-117-2018, 2018
B. Ruf, L. Thiel, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 125–132, https://doi.org/10.5194/isprs-annals-IV-1-125-2018, https://doi.org/10.5194/isprs-annals-IV-1-125-2018, 2018
M. Weinmann, P. M. Maier, J. Florath, and U. Weidner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 155–162, https://doi.org/10.5194/isprs-annals-IV-1-155-2018, https://doi.org/10.5194/isprs-annals-IV-1-155-2018, 2018
B. Jutzi, M. Weinmann, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 1–3, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, 2018
M. Boldt, A. Thiele, K. Schulz, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 59–64, https://doi.org/10.5194/isprs-archives-XLII-1-59-2018, https://doi.org/10.5194/isprs-archives-XLII-1-59-2018, 2018
P. Hübner, M. Weinmann, and S. Wursthorn
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 195–202, https://doi.org/10.5194/isprs-archives-XLII-1-195-2018, https://doi.org/10.5194/isprs-archives-XLII-1-195-2018, 2018
P. Hübner, M. Weinmann, M. Hillemann, B. Jutzi, and S. Wursthorn
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 455–462, https://doi.org/10.5194/isprs-archives-XLII-2-455-2018, https://doi.org/10.5194/isprs-archives-XLII-2-455-2018, 2018
K. Chen, M. Weinmann, X. Gao, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 65–72, https://doi.org/10.5194/isprs-annals-IV-2-65-2018, https://doi.org/10.5194/isprs-annals-IV-2-65-2018, 2018
R. Ilehag, M. Weinmann, A. Schenk, S. Keller, B. Jutzi, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 65–71, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, 2017
M. Breunig, A. Borrmann, E. Rank, S. Hinz, T. Kolbe, M. Schilcher, R.-P. Mundani, J. R. Jubierre, M. Flurl, A. Thomsen, A. Donaubauer, Y. Ji, S. Urban, S. Laun, S. Vilgertshofer, B. Willenborg, M. Menninghaus, H. Steuer, S. Wursthorn, J. Leitloff, M. Al-Doori, and N Mazroobsemnani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 341–352, https://doi.org/10.5194/isprs-archives-XLII-4-W4-341-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-341-2017, 2017
R. Blomley and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 43–50, https://doi.org/10.5194/isprs-annals-IV-2-W4-43-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-43-2017, 2017
J. Kern, M. Weinmann, and S. Wursthorn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 83–90, https://doi.org/10.5194/isprs-annals-IV-2-W4-83-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-83-2017, 2017
B. Ruf, B. Erdnuess, and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 325–332, https://doi.org/10.5194/isprs-archives-XLII-2-W6-325-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-325-2017, 2017
R. Ilehag, A. Schenk, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 145–151, https://doi.org/10.5194/isprs-archives-XLII-2-W6-145-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-145-2017, 2017
M. Hillemann and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W3, 17–24, https://doi.org/10.5194/isprs-annals-IV-2-W3-17-2017, https://doi.org/10.5194/isprs-annals-IV-2-W3-17-2017, 2017
M. S. Müller, S. Urban, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W3, 49–57, https://doi.org/10.5194/isprs-annals-IV-2-W3-49-2017, https://doi.org/10.5194/isprs-annals-IV-2-W3-49-2017, 2017
R. Niessner, H. Schilling, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 115–123, https://doi.org/10.5194/isprs-annals-IV-1-W1-115-2017, https://doi.org/10.5194/isprs-annals-IV-1-W1-115-2017, 2017
M. Weinmann, B. Jutzi, C. Mallet, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 157–164, https://doi.org/10.5194/isprs-annals-IV-1-W1-157-2017, https://doi.org/10.5194/isprs-annals-IV-1-W1-157-2017, 2017
K. O. Dierenbach, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 11–19, https://doi.org/10.5194/isprs-archives-XLI-B3-11-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-11-2016, 2016
F. Alshawaf, B. Fersch, S. Hinz, H. Kunstmann, M. Mayer, and F. J. Meyer
Hydrol. Earth Syst. Sci., 19, 4747–4764, https://doi.org/10.5194/hess-19-4747-2015, https://doi.org/10.5194/hess-19-4747-2015, 2015
Short summary
Short summary
This work aims at deriving high spatially resolved maps of atmospheric water vapor by the fusion data from Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite Systems (GNSS), and the Weather Research and Forecasting (WRF) model. The data fusion approach exploits the redundant and complementary spatial properties of all data sets to provide more accurate and high-resolution maps of water vapor. The comparison with maps from MERIS shows rms values of less than 1 mm.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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