MTI science, data products, and ground-data processing overview

John J. Szymanski; William H. Atkins; Lee K. Balick; Christoph C. Borel; William B. Clodius; R. Wynn Christensen; Anthony B. Davis; J. Chris Echohawk; Amy E. Galbraith; Karen Lewis Hirsch; James B. Krone; Cynthia K. Little; Peter M. McLachlan; Aaron Morrison; Kimberly A. Pollock; Paul A. Pope; Curtis Novak; Keri A. Ramsey; Emily Elizabeth Riddle; Charles A. Rohde; Diane C. Roussel-Dupre; Barham W. Smith; Kathy Smith; Kim Starkovich; James P. Theiler; Paul G. Weber

doi:10.1117/12.437009

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20 August 2001 MTI science, data products, and ground-data processing overview

John J. Szymanski, William H. Atkins, Lee K. Balick, Christoph C. Borel, William B. Clodius, R. Wynn Christensen, Anthony B. Davis, J. Chris Echohawk, Amy E. Galbraith, Karen Lewis Hirsch, James B. Krone, Cynthia K. Little, Peter M. McLachlan, Aaron Morrison, Kimberly A. Pollock, Paul A. Pope, Curtis Novak, Keri A. Ramsey, Emily Elizabeth Riddle, Charles A. Rohde, Diane C. Roussel-Dupre, Barham W. Smith, Kathy Smith, Kim Starkovich, James P. Theiler, Paul G. Weber

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Proceedings Volume 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII; (2001) https://doi.org/10.1117/12.437009
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

The mission of the Multispectral Thermal Imager (MTI) satellite is to demonstrate the efficacy of highly accurate multispectral imaging for passive characterization of urban and industrial areas, as well as sites of environmental interest. The satellite makes top-of-atmosphere radiance measurements that are subsequently processed into estimates of surface properties such as vegetation health, temperatures, material composition and others. The MTI satellite also provides simultaneous data for atmospheric characterization at high spatial resolution. To utilize these data the MTI science program has several coordinated components, including modeling, comprehensive ground-truth measurements, image acquisition planning, data processing and data interpretation and analysis. Algorithms have been developed to retrieve a multitude of physical quantities and these algorithms are integrated in a processing pipeline architecture that emphasizes automation, flexibility and programmability. In addition, the MTI science team has produced detailed site, system and atmospheric models to aid in system design and data analysis. This paper provides an overview of the MTI research objectives, data products and ground data processing.

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John J. Szymanski, William H. Atkins, Lee K. Balick, Christoph C. Borel, William B. Clodius, R. Wynn Christensen, Anthony B. Davis, J. Chris Echohawk, Amy E. Galbraith, Karen Lewis Hirsch, James B. Krone, Cynthia K. Little, Peter M. McLachlan, Aaron Morrison, Kimberly A. Pollock, Paul A. Pope, Curtis Novak, Keri A. Ramsey, Emily Elizabeth Riddle, Charles A. Rohde, Diane C. Roussel-Dupre, Barham W. Smith, Kathy Smith, Kim Starkovich, James P. Theiler, and Paul G. Weber "MTI science, data products, and ground-data processing overview", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); https://doi.org/10.1117/12.437009

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