Sensor system for detection of dangerous situation in forest

Forest ecosystems are influenced by widely varying environmental factors. The forests are exposed by these factors to constant changes and are put at risk. The established forest monitoring networks observe the ecological systems throughout Europe. But they do not provide immediate risk assessment at extreme weather events and appropriate countermeasures. The current forest monitoring is focused on ecological long-term conditions, but not to prevent risks and damages. The system is to be set up to detect and defense risks for the forest using existing monitoring and forecast systems. The aim of the sensor system is the supplement and improvement of the existing monitoring networks in forestry and agriculture. Main focus is the prevention of forest fire and precaution at extreme weather events. In the part of Humboldt-University the selectivity oft he hydrogen sensor will be improved and the influence of humidity reduced. This will be achieved by a permeator structure consisting in a porous membran and a Pd diffusion barrier. The resulting structure can be called a HSSD (High Selectivity Sensor Device). Simulations will be used as the basis for an optimized system. The HSSD prepared at Humboldt-University will be integrated in a sensor network. This network will be tested in field experiments and a demonstrator field.