MTI core science retrieval algorithms

Christoph C. Borel; William B. Clodius; Anthony B. Davis; Barham W. Smith; John J. Szymanski; James P. Theiler; Pierre V. Villeneuve; Paul G. Weber

doi:10.1117/12.366302

27 October 1999 MTI core science retrieval algorithms

Christoph C. Borel, William B. Clodius, Anthony B. Davis, Barham W. Smith, John J. Szymanski, James P. Theiler, Pierre V. Villeneuve, Paul G. Weber

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Proceedings Volume 3753, Imaging Spectrometry V; (1999) https://doi.org/10.1117/12.366302
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

The Multispectral Thermal Imager (MTI) has a number of core science retrievals which will be described. We will concentrate on describing the major Level-2 algorithms which cover land, water and atmospheric products. The land products comprise atmospherically corrected surface reflectances, vegetation health status, material identification, land temperature and emissivities. The water related products are: water mask, water quality and water temperature. The atmospheric products are: cloud mask, cirrus mask and atmospheric water vapor. We will present several of these algorithms and present results from simulated MTI data derived from AVIRIS and MODIS Airborne Simulator (MAS). An interactive analysis tool has been created to visually program and test certain Level-2 retrievals.

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Christoph C. Borel, William B. Clodius, Anthony B. Davis, Barham W. Smith, John J. Szymanski, James P. Theiler, Pierre V. Villeneuve, and Paul G. Weber "MTI core science retrieval algorithms", Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); https://doi.org/10.1117/12.366302

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