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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-4-2024
https://doi.org/10.5194/isprs-annals-X-4-2024-107-2024
© Author(s) 2024. 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-annals-X-4-2024-107-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 Oct 2024
| 18 Oct 2024
Multi-modal Land Cover Classification of Historical Aerial Images and Topographic Maps: A Comparative Study
Mareike Dorozynski
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
Franz Rottensteiner
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
Frank Thiemann
Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Germany
Monika Sester
Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Germany
Thorsten Dahms
Federal Agency for Cartography and Geodesy, Frankfurt am Main, Germany
Michael Hovenbitzer
Federal Agency for Cartography and Geodesy, Frankfurt am Main, Germany
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F. Rottensteiner and A. Yilmaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 3–4, https://doi.org/10.5194/isprs-archives-XLII-2-W13-3-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-3-2019, 2019
C. Kruse, F. Rottensteiner, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 51–60, https://doi.org/10.5194/isprs-archives-XLII-2-W13-51-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-51-2019, 2019
C. Yang, F. Rottensteiner, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 139–146, https://doi.org/10.5194/isprs-archives-XLII-2-W13-139-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-139-2019, 2019
F. Rottensteiner and A. Yilmaz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 3–4, https://doi.org/10.5194/isprs-annals-IV-2-W5-3-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-3-2019, 2019
M. Coenen, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 21–28, https://doi.org/10.5194/isprs-annals-IV-2-W5-21-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-21-2019, 2019
U. Nguyen, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 53–60, https://doi.org/10.5194/isprs-annals-IV-2-W5-53-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-53-2019, 2019
F. Politz and M. Sester
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 347–354, https://doi.org/10.5194/isprs-archives-XLII-1-347-2018, https://doi.org/10.5194/isprs-archives-XLII-1-347-2018, 2018
U. Feuerhake, O. Wage, M. Sester, N. Tempelmeier, W. Nejdl, and E. Demidova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 185–192, https://doi.org/10.5194/isprs-archives-XLII-4-185-2018, https://doi.org/10.5194/isprs-archives-XLII-4-185-2018, 2018
A. Leichter, D. Wittich, F. Rottensteiner, M. Werner, and M. Sester
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 335–342, https://doi.org/10.5194/isprs-archives-XLII-4-335-2018, https://doi.org/10.5194/isprs-archives-XLII-4-335-2018, 2018
M. Sester, Y. Feng, and F. Thiemann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 565–572, https://doi.org/10.5194/isprs-archives-XLII-4-565-2018, https://doi.org/10.5194/isprs-archives-XLII-4-565-2018, 2018
Y. Feng, C. Brenner, and M. Sester
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 11–18, https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018, https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018, 2018
A. Paul, K. Vogt, F. Rottensteiner, J. Ostermann, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 845–852, https://doi.org/10.5194/isprs-archives-XLII-2-845-2018, https://doi.org/10.5194/isprs-archives-XLII-2-845-2018, 2018
M. Coenen, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 73–80, https://doi.org/10.5194/isprs-annals-IV-2-73-2018, https://doi.org/10.5194/isprs-annals-IV-2-73-2018, 2018
X. Wang, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 295–302, https://doi.org/10.5194/isprs-annals-IV-2-295-2018, https://doi.org/10.5194/isprs-annals-IV-2-295-2018, 2018
Fabian Bock, Karen Xia, and Monika Sester
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
T. Wiatr, G. Suresh, R. Gehrke, and M. Hovenbitzer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1195–1199, https://doi.org/10.5194/isprs-archives-XLI-B1-1195-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-1195-2016, 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
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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