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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-4/W5-2024
https://doi.org/10.5194/isprs-annals-X-4-W5-2024-127-2024
© 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-W5-2024-127-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Jun 2024
| 27 Jun 2024
Towards Extending CityGML for Property Valuation: Property Valuation ADE
Siham El Yamani
3D Geoinformation, Urban Data Science, Delft University of Technology, The Netherlands
College of Geomatic Sciences and Surveying Engineering, IAV Hassan II Rabat, 6202 Rabat, Morocco
Geospatial Data Science and City Information Modeling (GeoScITY), UR Spheres, University of Liège, 4000 Liège, Belgium
Rafika Hajji
College of Geomatic Sciences and Surveying Engineering, IAV Hassan II Rabat, 6202 Rabat, Morocco
Roland Billen
Geospatial Data Science and City Information Modeling (GeoScITY), UR Spheres, University of Liège, 4000 Liège, Belgium
Ken Arroyo Ohori
3D Geoinformation, Urban Data Science, Delft University of Technology, The Netherlands
Jasper van der Vaart
3D Geoinformation, Urban Data Science, Delft University of Technology, The Netherlands
Amir Hakim
3D Geoinformation, Urban Data Science, Delft University of Technology, The Netherlands
Jantien Stoter
3D Geoinformation, Urban Data Science, Delft University of Technology, The Netherlands
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 81–88, https://doi.org/10.5194/isprs-annals-IV-4-W6-81-2018, https://doi.org/10.5194/isprs-annals-IV-4-W6-81-2018, 2018
K. Arroyo Ohori, A. Labetski, G. Agugiaro, M. Koeva, and J. Stoter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 1–1, https://doi.org/10.5194/isprs-archives-XLII-4-W10-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-1-2018, 2018
C. Ellul, J. Stoter, L. Harrie, M. Shariat, A. Behan, and M. Pla
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 19–26, https://doi.org/10.5194/isprs-archives-XLII-4-W10-19-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-19-2018, 2018
K. Kumar, H. Ledoux, and J. Stoter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 83–87, https://doi.org/10.5194/isprs-archives-XLII-4-W10-83-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-83-2018, 2018
A. Labetski, S. van Gerwen, G. Tamminga, H. Ledoux, and J. Stoter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 89–96, https://doi.org/10.5194/isprs-archives-XLII-4-W10-89-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-89-2018, 2018
K. Arroyo Ohori, F. Biljecki, A. Diakité, T. Krijnen, H. Ledoux, and J. Stoter
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 1–8, https://doi.org/10.5194/isprs-annals-IV-4-W5-1-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-1-2017, 2017
K. Arroyo Ohori, H. Ledoux, and J. Stoter
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 155–162, https://doi.org/10.5194/isprs-annals-IV-2-W1-155-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-155-2016, 2016
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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