Technische Universität Dresden

Germany
Technische Universität Dresden
Technische Universität Dresden
Country: 
Germany

Description

Founded in 1828, the Technische Universität Dresden (TU Dresden) belongs to the oldest academic engineering oriented educational institutions in Germany. Having been committed to sciences and engineering before the reunification, TU Dresden now is a multi-disciplinary full university, also offering humanities, social sciences and a strong division in medicine and life sciences. TU Dresden has about 35.000 students and 4.200 employees, among them 419 professors, and is thus the largest university in Saxony.

The Professorship of Geoinformation Systems has been established beginning of 2007 as a new cross-cutting Professorship for the Department of Geosciences belonging to the Faculty of Forestry, Geosciences and Hydrosciences at TU Dresden. Research and Education focuses on various topics within the discipline Geoinformatics (Geoinformation Science) and here especially on Geoinformation Services for Spatio-Temporal Modeling. Current research topics are the development of open, interoperable, service based Geographic Information Systems, the setting up of Spatial Data Infrastructure (regional, national, international), interoperable & interdisciplinary spatio-temporal simulation modelling, and Web based Spatial Decision Support Systems. The professorship is participating in the FP7 EU projects HEREPLUS and GIGAS and is an active member of the OpenGeospatial Consortium and actively contributes to the developments of INSPIRE, the German SDI (GDI-DE) and the Saxonian SDI (GDI Initiative Sachsen).

The Institute of Photogrammetry and Remote Sensing  (also TU Dresden Faculty of Forestry, Geosciences and Hydrosciences) has a research focus on the integration of sensor systems and image analysis techniques with the goal of designing solutions to challenging measurement tasks. The Chair of Photogrammetry at TU Dresden with currently 12 researchers has wide experience in the development of techniques for the automatic extraction of precise and reliable information from imagery.

Some examples for past and ongoing research projects with relation to spatio-temporal image analysis and ecosystem characterization:

  • Solar Radiation Determination in Forest Ecosystems by hemispheric image analysis
  • Automatic extraction of forest inventory parameters from laser scanner data
  • Sealed soil monitoring in urban regions by aerial image analysis
  • Developments of methods for 3D forest ecosystem characterization for meteorological simulation models
  • Analysis of the retreat and spatio-temporal changes in the motion behavior of arctic glaciers
  • Formulation of guidelines for quality checking of orthophotos and satellite imagery for use in agricultural subsidy management and control

The Institute of Clinical Pharmacology (ICP) and the Research Association Public Health Saxony (PH) belong both to the TU Dresden Faculty of Medicine,. The Faculty of Medicine is a full medical teaching facility with the full spectrum of all specialities. ICP and PH are two research bodies concerned with the use data for therapies and interventions (Pharmacotherapy and public health measures). Within these research areas ICP and PH are mainly interested in cardiovascular diseases, allergic affections and diagnostics besides other research interests ICP and PH are experienced participants in variety of different international projects concerning weather events, environment and cardiovascular diseases. The PH is cooperating with the WHO, Centre for Environment and Health, Rome or with the WHO Department for Chronic Diseases and Health Promotion in Geneva and many others. These extensive national and international research activities cover the whole variety of public health issues.

Role

TUD will mainly contribute to WP2, WP3, WP4, and WP5 and focuses on relating health and environmental data, analysing environmental related health effects, data fusion on remote sensing and in situ environmental data, capturing and modelling user requirements and knowledge, developing methodologies for health risk maps based on the findings in WP2 and WP3, advancing research on SOA for distributed geoinformation and providing proof-of-concept implementations of generic and use case specific GI components.

Being involved in the INSPIRE as well as in national and regional SDI activities TUD will support the bridging and synchronisation with ongoing SDI initiatives. As OGC Member TUD will contribute to OGC activities.

TUD contributes medical input in the use cases and handling of medical and pharmaco- and therapyepidemiological data and the evaluation of these data.

Syndicate content

The research leading to these results has received funding from the European Community's Seventh Framework Programme. (FP7/2007-2013) under grant agreement n° 244100 Contact © 2013 EO2HEAVEN Consortium