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Lehre
Forschung
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Christian Doppler Laboratory for Spatial Data from Laserscanning and Remote Sensing 2009
01.01.2009 - 31.12.2009
Research funding project
In the areas of photogrammetry and remote sensing rapid technological changes are currently taking place. Novel sensor technologies such as airborne laser scanning allow to acquire data of previously unknown quality and quantity. The transformation of these novel data into useable information is the primary objective of the Christian Doppler Laboratory for "Spatial Data from Laser Scanning and Remote Sensing". Target applications are hydrologic applications and artificial object modelling. The correct geometrical and physical description of remotely sensed data is a core problem for photogrammetry and remote sensing. This requires mathematical models for describing the geometric proberties of the measurement system and physically based methods to retrieve the desired object properties. Equally important is a good understanding of the information needs of applied disciplines which require data provided by laser scanning, remote sensing and photogrammetry. In accordance with the private partners of the Christian Doppler Laboratory, two thematic areas have been chosen: (a) Spatial Data for Hydrologic Applications; (b) Object Modelling for Cities, Buildings and Infrastructure.
People
Project leader
Josef Jansa
(E120)
Project personnel
Christian Briese
(E120)
Peter Dorninger
(E120)
Marieke Geiger
(E120)
Alexander Haring
(E120)
Wilfried Karel
(E120)
Hubert Lehner
(E120)
Gottfried Mandlburger
(E120)
Thomas Melzer
(E120)
Gabor Molnar
(E120)
Clemens Nothegger
(E120)
Johannes Otepka-Schremmer
(E120)
Andreas Roncat
(E120)
Institute
E120 - Department of Geodesy and Geoinformation
Grant funds
Christian Doppler Forschungsgesells (National)
Christian Doppler Research Association (CDG)
Research focus
Media Informatics and Visual Computing: 20%
Computational Fluid Dynamics: 5%
Climate Neutral, Renewable and Conventional Energy Supply Systems: 10%
Environmental Monitoring and Climate Adaptation: 50%
Efficient Utilisation of Material Resources: 10%
Mathematical and Algorithmic Foundations: 5%
Keywords
German
English
Fernerkundung
Remote Sensing
Laserscanning
laser scanning
Räumliche Daten
Spatial Data
Publications
Publications