DocumentCode :
2604345
Title :
A raster-based fuzzy expert system for forestry evolution
Author :
Saint-Joan, D. ; Desachy, J.
Author_Institution :
IRIT-UPS, Toulouse, France
Volume :
4
fYear :
1996
fDate :
27-31 May 1996
Firstpage :
2074
Abstract :
GIS users are increasingly turning to decision spatial systems to assist them solving complex spatial problems which are not simply maps overlay. So, the authors have implemented the GEODES (GEOgraphic Decision Expert System) system that allows users to specify easily symbolic knowledge of a problem through a graphic user interface by using, on the one hand, data and knowledge spatial characteristics and, on the other hand, fuzzy knowledge. This problem specification and geographic data are used by the system to provide a problem solution map showing favorable and less favorable areas. GEODES can be used in many domains as geographic, ecology, agriculture, natural resources management, manufacturing, etc. It is a fuzzy expert system using raster data and managing principally several types of rules based on knowledge and data intersection and union. The inference engine uses fuzzy inferences with fuzzy sets trapezoidal representations to decrease computational cost. There is a particular type of rule named gradual rule. Their structure is “If (More/Less) X is A Then (More/Less) Y is B”. This rule can specify particular geographic knowledge as “more the altitude is low then more the forest can grow”. The authors have implemented the system GEODES to modelise the evolution of the forest in a region of the south of France by using several maps. They have used spot maps and several data to obtain the forest map, the DEM and a map of fire frequency with reports of the agriculture ministry. By using these maps, the authors have made some experiments with GEODES to modelise the forest evolution
Keywords :
expert systems; forestry; fuzzy set theory; geophysical signal processing; geophysical techniques; geophysics computing; image processing; image sequences; remote sensing; GEODES; GEOgraphic Decision Expert System; change detection; complex spatial problem; forest growth; forestry evolution; fuzzy expert system; fuzzy inference; fuzzy knowledge; fuzzy sets trapezoidal representation; geophysical signal processing; graphic user interface; image processing; image sequences; inference engine; knowledge spatial characteristics; measurement technique; raster data; raster-based fuzzy expert system; remote sensing; symbolic knowledge; vegetation mapping; Agriculture; Expert systems; Forestry; Fuzzy sets; Fuzzy systems; Geographic Information Systems; Graphics; Hybrid intelligent systems; Turning; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
Type :
conf
DOI :
10.1109/IGARSS.1996.516892
Filename :
516892
Link To Document :
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