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Proceedings Paper

MTI core science retrieval algorithms
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Paper 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.

Paper Details

Date Published: 27 October 1999
PDF: 13 pages
Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); doi: 10.1117/12.366302
Show Author Affiliations
Christoph C. Borel, Los Alamos National Lab. (United States)
William B. Clodius, Los Alamos National Lab. (United States)
Anthony B. Davis, Los Alamos National Lab. (United States)
Barham W. Smith, Los Alamos National Lab. (United States)
John J. Szymanski, Los Alamos National Lab. (United States)
James P. Theiler, Los Alamos National Lab. (United States)
Pierre V. Villeneuve, Los Alamos National Lab. (United States)
Paul G. Weber, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 3753:
Imaging Spectrometry V
Michael R. Descour; Sylvia S. Shen, Editor(s)

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