- Article
(3839 KB) - Metadata XML
- September 24, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-4/W16-2025
https://doi.org/10.5194/isprs-archives-XLVIII-4-W16-2025-83-2025
© Author(s) 2025. 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-XLVIII-4-W16-2025-83-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
19 Sep 2025
| 19 Sep 2025
Large-Scale Mapping of Urban Parking from Aerial Images: A Case Study in Berlin, Germany
Felix Rauch
Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Corentin Henry
Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Manuel Mühlhaus
Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Franz Kurz
Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Jens Hellekes
Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Nina Merkle
Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Related authors
Franz Kurz, Nina Merkle, Corentin Henry, Reza Bahmanyar, Felix Rauch, Jens Hellekes, Veronika Gstaiger, Dominik Rosenbaum, and Peter Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-6-2025, 189–195, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-189-2025, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-189-2025, 2025
Mattia Righi, Simone Ehrenberger, Sabine Brinkop, Johannes Hendricks, Jens Hellekes, Paweł Banyś, Isheeka Dasgupta, Patrick Draheim, Annika Fitz, Manuel Löber, Thomas Pregger, Yvonne Scholz, Angelika Schulz, Birgit Suhr, Nina Thomsen, Christian Martin Weder, Peter Berster, Maximilian Clococeanu, Marc Gelhausen, Alexander Lau, Florian Linke, Sigrun Matthes, and Zarah Lea Zengerling
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-454, https://doi.org/10.5194/essd-2025-454, 2025
Preprint under review for ESSD
Short summary
Short summary
The ELK emission inventory provides global emission data for the three transport sectors (land transport, shipping and aviation) and transport-related emissions for the energy sector (oil refineries). It features a detailed resolution of the emissions in different subsectors, transport-specific quantities like non-exhaust emissions, and aviation-specific parameters. The ELK dataset is complemented with uncertainty scores and is validated against other well-established global inventories.
Reza Bahmanyar, Jens Hellekes, Manuel Mühlhaus, Veronika Gstaiger, and Franz Kurz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 151–158, https://doi.org/10.5194/isprs-annals-X-G-2025-151-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-151-2025, 2025
Veronika Gstaiger, Claas Köhler, Philipp Hochstaffl, Martin Bachmann, Raquel de los Reyes, Stefanie Holzwarth, Jiaojiao Tian, Peter Gege, Oliver Paxa, Thomas Krauss, Nina Merkle, and Franz Kurz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 315–322, https://doi.org/10.5194/isprs-annals-X-G-2025-315-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-315-2025, 2025
Franz Kurz, Nina Merkle, Corentin Henry, Reza Bahmanyar, Felix Rauch, Jens Hellekes, Veronika Gstaiger, Dominik Rosenbaum, and Peter Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-6-2025, 189–195, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-189-2025, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-189-2025, 2025
Daniele Cerra, Nina Merkle, Corentin Henry, Sebastian Gapp, and Veronika Gstaiger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 53–59, https://doi.org/10.5194/isprs-annals-X-3-2024-53-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-53-2024, 2024
Veronika Gstaiger, Nils Machinia, Nina Merkle, Dominik Rosenbaum, Ronald Nippold, Manuel Muehlhaus, Pablo d’Angelo, Corentin Henry, Xiangtian Yuan, Reza Bahmanyar, Franz Kurz, and Christa-Maria Krieg
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 163–168, https://doi.org/10.5194/isprs-annals-X-3-2024-163-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-163-2024, 2024
R. Bahmanyar and N. Merkle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 343–350, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-343-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-343-2023, 2023
M. Mühlhaus, F. Kurz, A. R. Guridi Tartas, R. Bahmanyar, S. M. Azimi, and J. Hellekes
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 371–378, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-371-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-371-2023, 2023
A. Schneibel, M. Gähler, M. Halbgewachs, R. Berger, J. Brauchle, M. Geßner, V. Gstaiger, D. Hein, C. Henry, N. Merkle, and D. Klein
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 579–586, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-579-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-579-2023, 2023
Jingliang Hu, Rong Liu, Danfeng Hong, Andrés Camero, Jing Yao, Mathias Schneider, Franz Kurz, Karl Segl, and Xiao Xiang Zhu
Earth Syst. Sci. Data, 15, 113–131, https://doi.org/10.5194/essd-15-113-2023, https://doi.org/10.5194/essd-15-113-2023, 2023
Short summary
Short summary
Multimodal data fusion is an intuitive strategy to break the limitation of individual data in Earth observation. Here, we present a multimodal data set, named MDAS, consisting of synthetic aperture radar (SAR), multispectral, hyperspectral, digital surface model (DSM), and geographic information system (GIS) data for the city of Augsburg, Germany, along with baseline models for resolution enhancement, spectral unmixing, and land cover classification, three typical remote sensing applications.
T. Krauß, F. Kurz, and H. Runge
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 85–91, https://doi.org/10.5194/isprs-annals-V-1-2022-85-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-85-2022, 2022
J. Tian, X. Zhuo, X. Yuan, C. Henry, P. d’Angelo, and T. Krauss
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 145–152, https://doi.org/10.5194/isprs-annals-V-1-2022-145-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-145-2022, 2022
F. Kurz, P. Mendes, V. Gstaiger, R. Bahmanyar, P. d’Angelo, S. M. Azimi, S. Auer, N. Merkle, C. Henry, D. Rosenbaum, J. Hellekes, H. Runge, F. Toran, and P. Reinartz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 221–226, https://doi.org/10.5194/isprs-annals-V-1-2022-221-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-221-2022, 2022
N. Merkle, C. Henry, S. M. Azimi, and F. Kurz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 283–289, https://doi.org/10.5194/isprs-annals-V-2-2022-283-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-283-2022, 2022
P. Schuegraf, J. Schnell, C. Henry, and K. Bittner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 407–414, https://doi.org/10.5194/isprs-annals-V-2-2022-407-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-407-2022, 2022
X. Yuan, S. M. Azimi, C. Henry, V. Gstaiger, M. Codastefano, M. Manalili, S. Cairo, S. Modugno, M. Wieland, A. Schneibel, and N. Merkle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 741–748, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-741-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-741-2021, 2021
S. M. Azimi, R. Kiefl, V. Gstaiger, R. Bahmanyar, N. Merkle, C. Henry, D. Rosenbaum, and F. Kurz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 433–440, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-433-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-433-2021, 2021
C. Henry, J. Hellekes, N. Merkle, S. M. Azimi, and F. Kurz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 479–485, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-479-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-479-2021, 2021
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