Submit to conference: sd102
Imaging Spectrometry V
Chairs: Michael R. Descour and Sylvia S. Shen

TITLE:
MTI Core Science Retrieval Algorithms

AUTHORS:
Christoph C. Borel, William Clodius, Anthony Davis,
Barham Smith, John J. Szymanski, James Theiler, 
Pierre Villeneuve and Paul G. Weber

Los Alamos National Laboratory
NIS-2 Group
Mail stop C323
Los Alamos, NM 87545
(505) 667-8972 (voice)
(505) 667-3815 (fax)
email: cborel@lanl.gov

"oral presentation preferred"

ABSTRACT

The Multispectral Thermal Imager (MTI) has a number of core science retrievals
which will be described in this talk. We will concentrate on
describing the Level-2 algorithms which cover land, water and atmospheric 
products. The land products comprise atmospherically corrected surface 
reflectances, vegetation health status, material identification and 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 MAS.

Biographical sketch:

Christoph C. Borel received the Diploma in Electrical Engineering from
the Swiss Federal Institute of Technology (1981), and a Ph.D. from the
University of Massachusetts (1988). He joined the Los Alamos National 
Laboratory in 1988 as a post doctoral fellow and is currently a staff 
member working on various remote sensing projects. His current interests 
are in atmospheric correction of satellite imagery, scene simulation in the 
visible and infrared, and end-to-end modeling of hyperspectral sensors 
and TOA albedo of the Earth.

Key words: 
multispectral analysis, thermal infrared, cloud mask, water mask,
atmospheric correction