Computer Science
Scientific paper
Oct 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3753..403b&link_type=abstract
Proc. SPIE Vol. 3753, p. 403-415, Imaging Spectrometry V, Michael R. Descour; Sylvia S. Shen; Eds.
Computer Science
Scientific paper
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.
Borel Christoph C.
Clodius William B.
Davis Anthony B.
Smith Barham W.
Szymanski John J.
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