Area-wide demarcation of small-scale suitability areas for heat planning
2024-2026
Books and Papers
all
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2016
2017
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2024
Vasquez, M.; Eleonora, M.; Inghilesi , R.; Simon, M.; Agnesi, S.; Al Hamdani, Z.; Annunziatellis, A.; Bekkby, T.; Pesch, R.; Askew, N.; Bentes, L.; Castle, L.; Doncheva, V.; Drakopoulou, V.; Gonçalves, J.; Laamanen, L.; Lillis, H.; Loukaidi, V.; McGrath, F.; Mo, G.; Monteiro, P.; Muresan, M.; O'Keeffe, E.; Populus, J.; Pinder, J.; Ridgeway, A.; Sakellariou, D.; Simboura, M.; Teaca, A.; Tempera, F.; Todorova, V.; Tunesi, L.; Virtanen, E. (2020):
EUSeaMap 2019, A European broad-scale seabed habitat map, technical report. EASME/EMFF/2018/1.3.1.8/Lot2/SI2.810241– EMODnet Thematic Lot n° 2 – Seabed Habitats
, doi: 10.13155/74782 , Weblink
Kröger, L.; Wester, T.; Langidis, A.; Nietiedt, S.; Göring, M.; Luhmann, T.; Peinke, J.; Hölling, M.; Gülker, G. (2020):
Experimental study of fluid structure interaction at a model wind turbine blade using optical measurement techniques. The Science of Making Torque from Wind (TORQUE 2020), Delft
, doi: 10.1088/1742-6596/1618/3/032025
Wester, T.; Kröger, L.; Göring, M.; Nietiedt, S.; Luhmann, T.; Peinke, J.; Gülker, G. (2020):
From unsteady inflow to deformation - An experimental study on the aerodynamics and structural behavior of a rotor blade. XXV ICTAM, 23-28 August 2020, Milano, Italy
Rofallski, R.; Westfeld, P.; Nistad, Jean-Guy; Büttner, Annett; Luhmann, T. (2020):
Fusing ROV-based photogrammetric underwater imagery with multibeam soundings for reconstructing wrecks in turbid waters. Journal of Applied Hydrography - HN116
, doi: 10.23784/HN116-03
Luhmann, T.; Chizhova, M.; Gorkovchuk, D. (2020):
Fusion of UAV and terrestrial photogrammetry with laser scanning for 3D reconstruction of historic churches in Georgia. Drones, 4, 53, MDPI
, doi: 10.3390/drones4030053 , Weblink
Presentations
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
Projects
funded by: Bundesministerium für Bildung und Forschung
Over 70% of German households are supplied with heat through fossil fuels (natural gas, oil). Therefore, some federal states have legally regulated Municipal Heat Planning (MHP). Additionally, a federal law on heat planning came into ... more
funded by: zukunft.niedersachsen
There are hundreds of thousands of artefacts in German museums that were brought to Europe during the colonial era as a result of wars, looting or trade. The history of these objects - where they came from, what they were used for and who once owned ... more
people
Prof. Dr. Sascha Koch (head) Prof. Dr. habil. Till Sieberth (head) Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Prof. Dr. Thomas Brinkhoff (head)
Prof. Dr. Sascha Koch (head) Prof. Dr. habil. Till Sieberth (head) Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Prof. Dr. Thomas Brinkhoff (head)
WorldPop Global Demographic Data
2023-2025
funded by: Bill & Melinda Gates Foundation
The WorldPop project aims to produce grid-based population estimates up to 2030 broken down by sex and age groups. The overall project is led by Prof. Andy Tatem of the University of Southampton. With this framework, IAPG is responsible for the devel... more
Bachelor & Master Theses
Augmented Reality in der Flurbereinigung: Untersuchung zur Visualisierung der Besitzeinweisung (2024/2)
Untersuchung zur Georeferenzierung und Nutzung von Urkarten des Liegenschaftskatasters (2024/2)
Analyse und Vergleich der geometrischen Eigenschaften von Referenzdaten und KI-Ergebnissen für die automatische Gebäudeerkennung in Luftbildern (2024/2)
Maschinelles Lernen für die Identifikation von baulichen Erweiterungen an Gebäuden anhand geometrischer Merkmale von ALKIS- und durch KI bestimmten Hausumringen (2024/2)
Integration und Verteilung von ALKIS-Grunddaten und Fortführungsdaten in Echtzeit mittels Open-Source-Technologien (2024/2)