ABSTRACT
The value of any geodata set depends on its fitness for use. A critical measure of the fitness is the data quality, knowledge of which may significantly increase the confidence of the user in explaining and defending the results derived from analyses with the map (LMIC, 1999). Therefore, extensive information about the quality of geodata input to a GeoDynamics analysis and modeling process (refer chapters in Section II) is essential. Remotely sensed derived land use land cover information on temporal basis is a key data source on GeoDynamic phenomena and has been used in studies focused on modeling the effect of climatic variables on tree distributions (Svoray and Nathan, 2004) and land cover change detection (Comber et al., 2004).
