I-Game NG - Integrated Telemetry and GIS-System for Wildlife Management Next Generation

The project aimed at developing a telemetry system based on GPS and GSM technology which provides generally higher data rates due to additional energy generation on the animal.

Short Description

Wildlife monitoring provides valuable information for a wide range of socio-political, ecological and economic issues. Major application areas include reduction of wildlife accidents, planning of large infrastructure projects, reduction of forest damage, and wildlife biology research.

Current wildlife telemetry systems using collar transmitters have the disadvantage of disturbing the animals’ behaviour and of being costly in terms of required resources. Newly developed systems based on GPS and GSM technology still have a relatively low data rate due to a restricted energy supply.

A camera mounted on the telemetry collar provides additional significant information on the animal’s behaviour. In order to identify the location, residence time and movement patterns of animals and precisely analyse their habitat requirements, all essential spatial information (existing maps, results from satellite and aerial photo interpretation, GPS points, digital elevation model etc.) is integrated into a Geographical Information System (GIS). This enables automatic calculation of statistics on habitat use and visualization of integrated information.

A major project outcome will be a concept for small series production of the telemetry collar for wildlife monitoring as well as one enhanced test collar based on satellite navigation (GPS, Galileo), telecommunication and data transmission modules (GSM, WLAN, satellite), a camera and various sensor devices.

Project Partners


JOANNEUM RESEARCH Forschungsgesellschaft mbH, DIGITAL - Institute for Information and Communication Technologies (JR-DIG) - Heinz Mayer


  • WWN Wildökologische Waldwirtschaftliche Naturräumliche, Planung & Beratung - Martin Forstner
  • Prototypenbau Meister - Norbert Meister
  • Graz University of Technology, Institute of Remote Sensing and Photogrammetry - Mathias Schardt

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