Author: Dept. of Remote Sensing

PhD defense of Sarah Asam

We are happy that Sarah Asam, who did already her MSc with us in the Global Change Ecology study program, defended her PhD on “Potential of high resolution remote sensing data for Leaf Area Index derivation using statistical and physical models” successfully! Congratulations! Moreover, we are proud that she started already last summer to work in the MONALISA Project at the Institut for Applied Remote Sensing of EURAC. If you like to contact her please use her new e-mail address:   Abstract of her PhD: The leaf area index (LAI) is defined as half the total leaf area per unit ground surface area. As leaves constitute the interface between the biosphere and the atmosphere, the LAI is used to model exchange processes between plants and their environment. To account for the variability of ecosystems, spatially and temporally explicit information on LAI is needed. Remote sensing aims at providing LAI by empirical-statistical or physical models. In the first approach, an empirical relationship between LAI measured in situ and the corresponding canopy spectral signature is established. The physical approach uses a radiation transfer model to simulate canopy reflectance as a function of the scene’s geometry and of leaf and canopy parameters, from which LAI is derived through model inversion against remote sensing data. Until now, LAI research focused either on the use of coarse resolution remote sensing data for global applications, or on LAI modeling over a confined area using medium to high...

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Introductory course on remote sensing

The introductory course on applied remote sensing within the Global Change Ecology study program started. More than 20 international students are about to learn how to apply remote sensing in ecology. Software used will be R, GRASS and ENVI, while a big focus is on OpenSource software. Topics covered will be ranging from basics to… Read More   Powered by...

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Applied course on Biodiversity, Conservation and Remote Sensing

The applied course on remote sensing for biodiversity is currently conducting field measurements and spatial data analysis in the Bavarian Forest national park. This course in embedded in the Global Change Ecology study program. 15 students are learning this year how to apply hyperspectral data lidar data and landsat data for analysing spatial biodiversity patterns… Read More Powered by...

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Upcomming CAWa training 2014 in Tashkent

Our next CAWa-Project remote sensing and GIS training is scheduled for December 2014 in Tashkent in close cooperation with the SIC-ICWC. A workshop on agricultural land use mapping and irrigation water requirement related topics will be held. We have several other inquries from our Central Asian colleagues and partner organizations – options are discussed at… Read More Powered by...

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AniMove course at SCBI in April 2015

Animal movement is critical for maintenance of ecosystem services and biodiversity. The study of complex movement patterns and of the factors that control such patterns is essential to inform conservation research and environmental management. Technological advances have greatly increased our ability to track, study, and manage animal movements. But analyzing and contextualizing vast amounts of… Read More Powered by...

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the Remote Sensing Department
at the University of Würzburg
Institute of Geography and Geology
Oswald Külpe Weg 86
97074 Würzburg

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