Business & Network

The main research is based on the sustainable management of the natural and human environment and its resources using GIS and remote sensing techniques.
This integrates process and functional driven transdisciplinary landscape ecology aiming to understand the processes and workflows to drive detection, prediction and forecasting methods using scenario techniques. Special detection methods have been placed on the functioning of the earth system in order to analyse how these functions evolve and predict future evolution and to facilitate a general understanding and impact and adaptation assessment on social, economic and especially environmental planning and decision making. This enables the development of new tools and services in order to address an integrated way of transdisciplinary landscape planning.

Main emphasis is placed on the development of new technologies needed for advanced registration, prevention, mitigation, and monitoring of environmental states, pressures, risks and vulnerability including health for sustainability of the natural and man-made environment. This involves harmonisation and cross-linking of interoperable data and information including its accessibility, storage, distribution and visualisation mechanisms. Spatial modelling techniques are setup for predicting environmental driving forces, pressures, states, impacts and responses. This includes real-time data transfer from Sensor Observation Services.

Modelling techniques are used to scale down policy impacts on multifunctional land use and sustainable development from EU level to national level, state level, regional level and local level. The resulting toolbox allows the evaluation of the impact of structural funds on production strategies and local rural development. Scenarios are framed to identify strategy options at landscape level which include the environment and quality aspects in policies promoting economic growth and employment in the context of global trade and competitiveness.

Besides GIS based landscape modelling and establishment of GIS applications and user interfaces Dr. Hermann Klug is active in the application of landscape metrics in nature conservation strategies. The development and improvement of technologies and tools for earth observation and assessment serves for site characterization towards sustainable remediation (e.g. soil erosion mapping).

Therewith, the common working emphasis is based on:

  • process-driven landscape ecology (methods, landscape structure and application)
  • past and future landscape change impacts on river basins and catchments
  • spatial planning and land use planning
  • focus on landscape visions ("Leitbilder")
  • main focus on soil science, hydrology and climatology using GIS and remote sensing for "what if" scenarios
  • landscape metrics and nature conservation strategies
  • development and improvement of tools for water resource management
  • impacts and feed-backs of agricultural policies on land use and ecosystems in Austria

For more details see Business!