Intelligent fusion and analysis of AIRSAR data for SEIDAM

SEIDAM (System of Experts for Intelligent Data Management) intelligently fuses and analyzes remotely sensed data, such as from NASA´s AIRSAR. Software agents assist the users in processing by providing the necessary information to successfully complete the sequence of tasks. These tasks include calibration, topographic corrections, and geocoding of AIRSAR data. The resulting geocoded imagery is subjected to image processing algorithms fused with GIS data in order to extract information on the biophysical parameters of forest objects. In this paper, the use of AIRSAR data for the estimation of biomass from P-band SAR for a test site on Vancouver Island is discussed, as well as the retrieving and adapting of plans for intelligently solving queries requiring radar data