REALM: An Image Database for Landsat-7 Data

摘要

In order to fulfill the science mission lf Landsat-7, users must explore advanced methodologies for analyzing large volumes of Landsat data. REALSM (Resarch Environment for Advanced Landsat Monitoring) is a parallel database system implemented at University of Maryland to create on-demand Landsat analyses using 100s-1000s of scenes. REALM includes automated preprocessing module, automated navigation and space/time indexing, and a query l anguage that permits users to submit custom aglorithms to the image database. A simplex example, calculating forest-dcover for the Eastern United States, illustrates the utility of this approach. Aggregate throughput for this query amounts to 6-8 MB/sec, sufficient to create a continental-scale forest-cover map in less than 12 hours.