Welcome at the Chair of Forest Inventory and Remote Sensing!

Informed and transparent decisions for appropriate management and policy-making require reliable information and data. This is especially true for the sustainable management of natural resources and complex ecosystems such as forests.

In academic teaching, relevant techniques of data collection and the derivation of statistically validated results from sampling, remote sensing analysis and modelling are taught. Students are made aware of the importance of scientifically validated data and information as a basis for decision making and an appropriate consideration of sources of error.

Our research focuses on the development and optimization of existing data collection methods for forest inventories and a meaningful integration of different remote sensing data available at increasing spatial and temporal resolution.