REALM: an image database for Landsat 7 data

Jeffrey G. Masek; Samuel N. Goward; Carter T. Shock

doi:10.1117/12.410356

23 August 2000 REALM: an image database for Landsat 7 data

Jeffrey G. Masek, Samuel N. Goward, Carter T. Shock

Proceedings Volume 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI; (2000) https://doi.org/10.1117/12.410356
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In order to fulfill the science mission of Landsat-7, users must explore advanced methodologies for analyzing large volumes of Landsat data. REALM (Research 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 modules, automated navigation and space/time indexing, and a query language that permits users to submit custom algorithms to the image database. A simple example, calculating forest-cover 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.

Citation Download Citation

Jeffrey G. Masek, Samuel N. Goward, and Carter T. Shock "REALM: an image database for Landsat 7 data", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); https://doi.org/10.1117/12.410356

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