The "Remote Sensing and Photogrammetry" group develops methods and algorithms for deriving information about our environment from remote sensing data acquired by spaceborne, airborne or terrestrial imaging sensors. The developments and projects relate to the evaluation of both optical and radar remote sensing data, photogrammetric data and laser scanner data. Major applications include:
· Assessment and monitoring of land use and land cover by means of satellite remote sensing. In this context the working group collaborates closely with Joanneum Research Forschungsgesellschaft regarding applications based on the airborne sensor platform ADAM.
· Derivation of forest parameters by means of laser scanning and photogrammetric methods for biomass and forest inventories in Europe.
· Monitoring of tropical forests in the context of the REDD initiative (reduction of deforestation and degradation).
· Visualization of landscapes and natural objects on the basis of remote sensing data in combination with data derived from Geographical Information Systems.
· Surveying and mapping of cultural heritage (landscapes, buildings, monuments, archaeological sites and materials).
· Integration of remote sensing data to support navigation in remote areas.
The algorithms developed for these applications refer to change detection, radiometric calibration, topographic normalization, object based classification, time series analyses for Sentinel 2 data as well as algorithms for the derivation of forest parameters from laser scanner data (tree top detection, crown segmentation, change detection).
The research activities are driven by active collaboration with Joanneum Research providing a fruitful link between basic and applied research.