- Article
(908 KB) - Metadata XML
- July 03, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume VI-4/W1-2020
https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-21-2020
© Author(s) 2020. 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-VI-4-W1-2020-21-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
03 Sep 2020
| 03 Sep 2020
THE NEED FOR A DIFFERENTIATION BETWEEN HETEROGENEOUS INFORMATION INTEGRATION APPROACHES IN THE FIELD OF “BIM-GIS INTEGRATION”: A LITERATURE REVIEW
F. Beck
TUM Department of Civil, Geo and Environmental Engineering, Technical University Munich, Germany
A. Borrmann
TUM Department of Civil, Geo and Environmental Engineering, Technical University Munich, Germany
T. H. Kolbe
TUM Department of Aerospace and Geodesy, Technical University Munich, Germany
Related authors
No articles found.
Hanbin Wang, Ihab Hijazi, Andreas Donaubauer, and Thomas H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W5-2024, 317–324, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-317-2024, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-317-2024, 2024
Jingwei Zhu, Olaf Wysocki, Christoph Holst, and Thomas H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W5-2024, 341–348, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-341-2024, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-341-2024, 2024
Fiona C. Collins, Florian Noichl, Martin Slepicka, Gerda Cones, and André Borrmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 41–48, https://doi.org/10.5194/isprs-annals-X-1-2024-41-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-41-2024, 2024
Florian Noichl, Maximilian Stuecke, Clemens Thielen, and André Borrmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 177–182, https://doi.org/10.5194/isprs-annals-X-1-2024-177-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-177-2024, 2024
C. Beil, M. Kendir, R. Ruhdorfer, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 29–36, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-29-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-29-2022, 2022
M. Heeramaglore and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 89–96, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-89-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-89-2022, 2022
Š. Jaud, C. Clemen, S. Muhič, and A. Borrmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 145–152, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-145-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-145-2022, 2022
S. Krapf, B. Willenborg, K. Knoll, M. Bruhse, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 161–168, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-161-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-161-2022, 2022
S. H. Nguyen and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 217–224, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-217-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-217-2022, 2022
B. Schwab and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 257–264, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-257-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-257-2022, 2022
M. Knezevic, A. Donaubauer, M. Moshrefzadeh, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W3-2022, 119–126, https://doi.org/10.5194/isprs-annals-X-4-W3-2022-119-2022, https://doi.org/10.5194/isprs-annals-X-4-W3-2022-119-2022, 2022
C. Beil, T. Kutzner, B. Schwab, B. Willenborg, A. Gawronski, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W2-2021, 105–112, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-105-2021, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-105-2021, 2021
S. H. Nguyen and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W2-2021, 137–144, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-137-2021, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-137-2021, 2021
O. Wysocki, B. Schwab, L. Hoegner, T. H. Kolbe, and U. Stilla
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 17–24, https://doi.org/10.5194/isprs-annals-V-4-2021-17-2021, https://doi.org/10.5194/isprs-annals-V-4-2021-17-2021, 2021
C. Beil and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W1-2020, 29–36, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-29-2020, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-29-2020, 2020
H. Harter, B. Willenborg, W. Lang, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W1-2020, 85–92, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-85-2020, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-85-2020, 2020
S. H. Nguyen and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W1-2020, 143–150, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-143-2020, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-143-2020, 2020
K. Akahoshi, N. Ishimaru, C. Kurokawa, Y. Tanaka, T. Oishi, T. Kutzner, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 179–186, https://doi.org/10.5194/isprs-annals-V-4-2020-179-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-179-2020, 2020
I. H. Hijazi, T. Krauth, A. Donaubauer, and T. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 195–202, https://doi.org/10.5194/isprs-annals-V-4-2020-195-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-195-2020, 2020
K. Chaturvedi and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W9, 19–26, https://doi.org/10.5194/isprs-annals-IV-4-W9-19-2019, https://doi.org/10.5194/isprs-annals-IV-4-W9-19-2019, 2019
K. Chaturvedi, Z. Yao, and T. H. Kolbe
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W17, 7–14, https://doi.org/10.5194/isprs-archives-XLII-4-W17-7-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W17-7-2019, 2019
B. Schwab and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W8, 99–106, https://doi.org/10.5194/isprs-annals-IV-4-W8-99-2019, https://doi.org/10.5194/isprs-annals-IV-4-W8-99-2019, 2019
I. Hijazi, V. Ebert, A. Donaubauer, and T. H. Kolbe
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 63–70, https://doi.org/10.5194/isprs-archives-XLII-4-W10-63-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-63-2018, 2018
B. Willenborg, M. Pültz, and T. H. Kolbe
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 223–230, https://doi.org/10.5194/isprs-archives-XLII-4-W10-223-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-223-2018, 2018
C. Beil and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 9–16, https://doi.org/10.5194/isprs-annals-IV-4-W5-9-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-9-2017, 2017
K. Chaturvedi, B. Willenborg, M. Sindram, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 25–32, https://doi.org/10.5194/isprs-annals-IV-4-W5-25-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-25-2017, 2017
S. H. Nguyen, Z. Yao, and T. H. Kolbe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 99–106, https://doi.org/10.5194/isprs-annals-IV-4-W5-99-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-99-2017, 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
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.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org