Using Unclassified Multi-Spectral Data to Improve OPIR Analysis

TitleUsing Unclassified Multi-Spectral Data to Improve OPIR Analysis
Publication TypeConference Paper
Year of Publication2012
AuthorsBerendes, T, Tanner, S, Graves, S
Conference NameHyperspectral & Polarimetric Community Collaboration Workshop
Date Published18-20 July 2012
Conference LocationHuntsville, AL
KeywordsOPIR
AbstractA team at UAH is working to fuse multiple existing and new MODIS data products, in particular cloud and other atmospheric conditions, to help verify analyses generated from OPIR data. Problems with missing data (gaps) and other poor results can sometimes be explained when correlated with current environmental conditions. Using near-real time delivery of environmental data and tools such as the UAH-developed GLIDER application, data and analysis results can be fused to provide answers to some of these questions.
URLhttp://smapcenter.uah.edu/SMAP-CENTER/Conferences/HyperPolar2012/index.html
Involved Persons: 
Todd Berendes
Steve Tanner
Sara Graves