Objective To study the interaction between tree/stand, site, soil, wind, climate and fire in the cause of natural disasters. Through the use of GIS and satellite information systems and actual field data construct a predictive model to classify the degree of risk of individual stands to wind, fire and snow. Fields of science natural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systemsengineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technologynatural sciencesearth and related environmental sciencesphysical geographynatural disasters Programme(s) FP3-AIR - Specific research and technological development and demonstration programme (EEC) in the field of agriculture and agro-industry, including fisheries, 1990-1994 Topic(s) 123 - Interaction between silviculture and the environment Call for proposal Data not available Funding Scheme CSC - Cost-sharing contracts Coordinator UNIVERSITY OF JOENSUU FACULTY OF FORESTRY EU contribution No data Address YLIOPISTOKATU 7 PO BOX 111 80101 JOENSUU Finland See on map Total cost No data Participants (6) Sort alphabetically Sort by EU Contribution Expand all Collapse all CENTRO NACIONAL DE INFORMACAO GEOGRAFICA Portugal EU contribution No data Address 1/82,RUA BRAAMCAMP 1200 LISBOA See on map Total cost No data FORESTRY COMMISSION RESEARCH AGENCY United Kingdom EU contribution No data Address Northern Research Station EH25 9SY ROSLIN-MIDLOTHIAN See on map Total cost No data INST. FLORESTAL Portugal EU contribution No data Address AV. JOAO CRISOSTOMO 1000 LISBOA See on map Total cost No data MACAULAY LAND USE RESEARCH INSTITUTE United Kingdom EU contribution No data Address Craigiebuckler AB15 8QH ABERDEEN See on map Total cost No data SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES Sweden EU contribution No data Address 901 83 UMEA See on map Total cost No data University of Aberdeen United Kingdom EU contribution No data Address Regent Walk AB9 1FX Aberdeen See on map Total cost No data