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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-4
https://doi.org/10.5194/isprs-archives-XLII-4-335-2018
© Author(s) 2018. 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-4-335-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
19 Sep 2018
| 19 Sep 2018
IMPROVED CLASSIFICATION OF SATELLITE IMAGERY USING SPATIAL FEATURE MAPS EXTRACTED FROM SOCIAL MEDIA
A. Leichter
Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany
D. Wittich
Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, Germany
F. Rottensteiner
Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, Germany
M. Werner
Institut für Methodik der Fernerkundung, Deutsches Zentrum für Luft- und Raumfahrt, Munich, Germany
M. Sester
Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany
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Proc. Int. Cartogr. Assoc., 1, 12, https://doi.org/10.5194/ica-proc-1-12-2018, https://doi.org/10.5194/ica-proc-1-12-2018, 2018
Dirk Burghardt, Wolfgang Nejdl, Jochen Schiewe, and Monika Sester
Proc. Int. Cartogr. Assoc., 1, 15, https://doi.org/10.5194/ica-proc-1-15-2018, https://doi.org/10.5194/ica-proc-1-15-2018, 2018
A. Paul, C. Yang, U. Breitkopf, Y. Liu, Z. Wang, F. Rottensteiner, M. Wallner, A. Verworn, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1355–1362, https://doi.org/10.5194/isprs-archives-XLII-3-1355-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1355-2018, 2018
Christian Kruse, Franz Rottensteiner, Thorsten Hoberg, Marcel Ziems, Julia Rebke, and Christian Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 127–134, https://doi.org/10.5194/isprs-annals-IV-3-127-2018, https://doi.org/10.5194/isprs-annals-IV-3-127-2018, 2018
Chun Yang, Franz Rottensteiner, and Christian Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 251–258, https://doi.org/10.5194/isprs-annals-IV-3-251-2018, https://doi.org/10.5194/isprs-annals-IV-3-251-2018, 2018
J. Unger, F. Rottensteiner, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 385–392, https://doi.org/10.5194/isprs-archives-XLII-2-W6-385-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-385-2017, 2017
Ehsan Rabiei, Uwe Haberlandt, Monika Sester, Daniel Fitzner, and Markus Wallner
Hydrol. Earth Syst. Sci., 20, 3907–3922, https://doi.org/10.5194/hess-20-3907-2016, https://doi.org/10.5194/hess-20-3907-2016, 2016
Short summary
Short summary
The value of using moving cars for rainfall measurement purposes (RCs) was investigated with laboratory experiments by Rabiei et al. (2013). They analyzed the Hydreon and Xanonex optical sensors against different rainfall intensities. A continuous investigation of using RCs with the derived uncertainties from laboratory experiments for areal rainfall estimation as well as implementing the data in a hydrological model are addressed in this study.
S. Zourlidou and M. Sester
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 269–276, https://doi.org/10.5194/isprs-archives-XLI-B2-269-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-269-2016, 2016
E. Rabiei, U. Haberlandt, M. Sester, and D. Fitzner
Hydrol. Earth Syst. Sci., 17, 4701–4712, https://doi.org/10.5194/hess-17-4701-2013, https://doi.org/10.5194/hess-17-4701-2013, 2013
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