various ecosystem are monitored concerning their environmental status and changes – from coastal to forest, from african savannas to european agriculture. Continuous acquisition of environmental information is feasible with remote sensing and provides insights into spatio-temporal patterns.

The future of Earth observation is transforming data into geo-spatial insights. Only when images are used to generate geo-information, complex challenges of mankind can be analyzed spatially. In this context, the remote sensing hub at the University of Würzburg focuses e.g. on the topic of “global urbanization”. Especially because people are in motion and migrate from rural areas to cities, this aspect of global change is crucial for our society

Remote Sensing has the advantage of a large variety of different acquisition systems, data types for the derivation of geospatial insights. But only through the technical and thematic processing of satellite imagery spatial information and notions such as e.g. growth patterns or morphologic organization of cities can be generated. Furthermore, additional insights can be generated integrating auxiliary data such as statistical, demographic, socio-economic, engineering etc. data. Thus, a global, multidisciplinary view on the “system city” can be generated.

Various multispectral, thermal and Lidar sensors are used on our UAS to monitor ecosystems for various topics: from agroecosystems to Nationalparks, from montane forests to rock formation.

Different systems are used for very high resolution landscape monitoring within various projects for analyzing landscape conditions.

Within our professional training activity “GeoSens” we cover different aspects of Earth Observation methods and applications for specific professionals already working in different fields.

Various ecosystems are part of our ongoing projects from Artic permafrost to African savannas

Various methods are applied to collect in-situ data – from hand-held devices to UAS based systems equiped with various measurement devices or optical sensors for the respective information needed.