Automated forest inventory update with SEIDAM

As part of the Applied Information Systems Research Program sponsored by NASA, a System of Experts for Intelligent Data Management, SEIDAM, has been created. As a component of SEIDAM, a case-based reasoning system called PALERMO was developed in order to reason about the process of digital forest inventory update. SEIDAM uses a set of software agents that carry out tasks such as translate point elevation data into a digital terrain model or import polygonal information from a geographical information file into an image format or ingest remote sensing data and update meta data databases. In this paper the authors discuss the new agents that were created for automatic classification and the ease with which they were added to the SEIDAM environment.