Fincken, M.; Elbeshausen, M.; Schnabel, M.; Koch, S.(2024):
Machine Learning für flächendeckende Geothermie-Potentialanalysen
im Kontext der geodatenbasierten Wärmeleitplanung.36. Oldenburger Rohrleitungsforum
Schnabel, M.; Elbeshausen, M.; Erdmann, S.; Koch, S.(2024):
Participatory Processes in Geodata-Based Thermal Energy Planning.Innovations and challenges of the energy transition in smart city districts , doi: 10.1515/9783110777567
Luhmann, T.; Sieberth, T.(2024):
Photogrammetrie - Laserscanning - Optische 3D-Messtechnik. Beiträge der Oldenburger 3D-Tage und des BIMtages 2024.Wichmann Verlag, Berlin/Offenbach, 414 S.
Lenzi, J.
; Leiz, M.
; Ahvo, A. ; Bergström, U. ; Sacre, E. ; Juva, K. ; Virtanen, E. ; Takkolander, A. ; Kotta, J. ; Kaasik, A. ; Fetissov, M. ; Berkström, C. ; Ract, C. ; Pesch, R.:
Predicting Marine Species Shifts and Identifying Biodiversity Hotspots under Climate Scenarios.Informal Consultation Session HELCOM Working Group on Biodiversity, Protection and Restoration (WG BioDiv),
Oktober 2024
Sieberth, T.:
Forensik digital – 3D Tatort-Rekonstruktion.Fachtagung BDVI Landesgruppe Thürigen,
September 2024
Luhmann, T.:
Fundamentals of camera calibration and image orientation.UAV-Conference, Intergeo 2024, Stuttgart,
September 2024
Ghavimi, A.:
Digital Mapping the Social Memory for a Sustainable Transformation of Settlements: A Participatory GIS Approach.City Transitions: Society and the Spatial and Temporal Dimensions of Change,
September 2024
Sieberth, T.:
Photogrammetrie in der Forensik.Schlaues Haus Oldenburg,
September 2024Weblink
The aim of the PhD project is to develop an innovative approach for detection of the dynamic states of rotor blades during operation without contact and targeting more
The aim of this Ph.d. project was the design and implementation of a system for monitoring of continuous phenomena by sensor data streams. A major focus was the use of methods from the field of geostatistics. more