The course “Remote Sensing and Biodiversity analysis” is currently taking place in the Bavarian Forest Nationalpark with lectures on botany, various remote sensing field methods, analysing LiDAR and hyperspectral remote sensing data and R coding. We already covered the botany and history of the Nationalpark and some first field data collection methods such as GPS… Read More


During his visit at the Department of Remote Sensing in W├╝rzburg Jean-Bosco Benewind├ę Zoungrana (PhD student in the WASCAL project) prepared his first publication on “Land use/cover response to rainfall variability: a comparing analysis between NDVI and EVI in the south-west of Burkina Faso”. Now we got the confirmation that this paper is accepted for… Read More


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


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


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