Books and Papers

Knies, J. (2015): The Potential for Extracting Heat Energy from Waste Water - a Strategic Approach. In: Car, Jekel, Strobl, Griesebner (eds.): GI_Forum, Journal for Geographic Information Science, Wichmann, 2015, 189-198 , Weblink
Lorkowski, P.; Brinkhoff, T. (2015): Towards Real-Time Processing of Massive Spatio-Temporally Distributed Sensor Data: A Sequential Strategy Based on Kriging. In: Bação, Santos, Painho (eds.): AGILE 2015 – Geographic Information Science as an Enabler of Smarter Cities and Communities, Lecture Notes in Geoinformation and Cartography, Springer, 145-163 , doi: 10.1007/978-3-319-16787-9_9
Resch, Bernd; Wichmann, Andreas; Goell, Nicolas (2015): Usability in 4D AR: Visualising Multi-Temporal Real-Time Geo-Data in Augmented Reality Environments. International Journal of Interactive Mobile Technologies , doi: https://doi.org/10.3991/ijim.v9i4.4626 , Weblink

Presentations

, . : Constrained Evolutionary Wind Turbine Placement with Penalty Functions. IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, Juli 2016
Conen, N. : Rectification and robust matching using oriented image triplets for minimally invasive surgery. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juli 2016
Jepping, C. : Deformations from image silhouettes using a kinematic finite element beam model. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juli 2016
Lorkowski, P. : Compression and Progressive Retrieval of Multi-Dimensional Sensor Data. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juni 2016
Brinkhoff, T. : Open Street Map Data as Source for Built-up and Urban Areas on Global Scale. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juni 2016

Projects

funded by: Federal Ministry for Economic Affairs and Climate Action
Subproject Optical 3D Measurement Technology: For making of reliable wind turbine runtime extension assessments, a new method is being developed that takes into account the geometry and modal properties of the respective rotor blade. These are deter... more
funded by: zukunft.niedersachsen
The research network DiViAS brings together previously rarely interlinked methods and practices in the digitization, research and representation of collections from colonial contexts. The project will systematically combine expertise from museum stud... more

Bachelor & Master Theses


Flächendeckende Versiegelungsdetektion mittels Machine Learning für Entsiegelungskataster (2023/12)
Der digitale Zwilling im Metaverse - Untersuchung zur Modellierung und Anwendung virtueller Räume (2023/12)
supervisors

Prof. Dr. Ingrid Jaquemotte

Frank Mönsters

cooperation

sigma3D GmbH

Räumliche Unterschiede bei der Wahrnehmung von Zukunftsmärkten in Medien: Eine Analyse von Zeitungsartikeln mittels Machine Learning (2023/10)
supervisors

Prof. Dr. Thomas Brinkhoff

Dr. Georg Klose

cooperation

Prognos AG

Untersuchung zur zielgruppenorientierten 3D-Visualisierung von 2D-Plänen in kommunalen Planungsprozessen mit Entwurf einer webbasierten 3D-Informationsplattform (2023/9)
supervisors

Prof. Dr. Ingrid Jaquemotte

Dipl. Geogr. Maria Orth

Pilotstudie zur geodatenbasierten Potentialanalyse für Moorrenauturierungen im Ammerland (2023/8)