Books and Papers

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Schnabel, M.; Elbeshausen, M.; Koch, S. (2023): Interactive geodata analyses to support the multi-stakeholder process of thermal energy planning. Lund, H., Mathiesen, B. V., Østergaard, P. A., & Brodersen, H. J. (Eds.) (2023). Book of Abstracts: 9th International Conference on Smart Energy Systems , Weblink

Koch, S.; Fincken, M.; Elbeshausen, M.; Schnabel, M. (2023): Machine Learning im Kontext der geodatenbasierten Wärmeleitplanung. 14. Norddeutsche Fachtage, Die Welt und die Geodäsie im Wandel, Hochschule Neubrandenburg und Deutscher Verein für Vermessungswesen e. V.

Elbeshausen, M.; Schnabel, M.; Koch, S. (2023): Mit GeoVisual Analytics zur Wärmeleitplanung. gis.Business 3/2023 , Weblink

Luhmann, T. (2023): Nahbereichsphotogrammetrie – Grundlagen, Methoden, Beispiele. 5. Auflage, Wichmann Verlag, Offenbach/Berlin , Weblink

Garms, M.; Leiz, M.; Mayer, M. (2023): Perception of climate change-related forest dieback in mountain forests among the local population. European Journal of Forest Research , doi: 10.1007/s10342-023-01627-z , Weblink

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Presentations

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Jaquemotte, I. : Die Welt im Modell?. Absolventenforum 2007, Oldenburg, November 2007

Luhmann, T. : Photogrammetrische Modellierung der chromatischen Aberration. 13. Workshop Farbbildverarbeitung, Koblenz, Oktober 2007

Ratzke, H. : Sustainable Development of the Drweca Valley Using Innovative Planning Instruments. 1st Conference for the „Protection and Management of the River Drweca Basin”, Torun, Poland, Oktober 2007

Nebel, K. : Flood Simulation in Plane Areas – Are existing geo basis data precise enough?. 1st Conference for the „Protection and Management of the River Drweca Basin”, Torun, Poland, Oktober 2007

Weisensee, M. : Podiumsdiskussion: Wird Google zu mächtig?. ZKI-Jahrestagung, Wilhelmshaven, September 2007

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Projects

Integration and simultaneous estimation of kinematic parameters in multi-view image matching of dynamic processes

2022-2025

funded by: German Research Foundation

Classical methods of photogrammetric deformation analysis are essentially a two-step process of spatio-temporal image matching (STM) followed by the calculation of deformation parameters. In many close-range applications, further kinematic in... more

people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Simon Nietiedt, M.Sc.

Northwestern Lower Saxony - Sustainable New (4N): Geo-Toolbox

2022-2026

funded by: Niedersächsisches Vorab

Transformation and structural change in rural areas mean changes in space and time. Such spatiotemporal data is to be managed and processed by our “Geo-Toolbox”. It uses digital technologies such as databases and geographic information systems &#... more

people
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. rer. nat. habil. Roland Pesch (head) Prof. Dr. rer. nat. Frank Schüssler (head) Tobias Werner, M.Sc. (10.2022-) Jonas Schoo, M.Sc. (06.2022-) Maren Leiz, M.Sc. (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)

Collaborative Spatial Artificial Intelligence in Realtime

2021-2024

funded by: Bundesministerium für Bildung und Forschung

The Project – „CoSAIR – Collaborative Spatial Artificial Intelligence in Realtime“ is funded by the Federal Ministry of Education and Research within the program „Research at Universities of Applied Sciences“ in order to create, consolida... more

people
Prof. Dr. Sascha Koch (head) Tobias Neiß-Theuerkauff, M.Sc. (-03.2024) Oliver Kahmen, M.Sc. (04.2022-07.2022) Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)

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