Paper
10 September 2008 McIDAS-V: a powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data
Thomas Achtor, Thomas Rink, Thomas Whittaker, David Parker, David Santek
Author Affiliations +
Abstract
The Man computer Interactive Data Access System (McIDAS) project began over 30 years ago at the University of Wisconsin-Madison to analyze and visualize data from the first generation of geostationary weather satellites. McIDAS continues to provide a strong data analysis and visualization capability for the current environmental satellites. However, the next generation of operational remote sensing instruments under development for the NPOESS and GOES-R programs require software tools with expanded capability and performance to support innovative techniques for developing algorithms, visualizing data and products, and evaluating results. A project is underway at SSEC to develop the fifth generation of McIDAS, a java-based, open-source system for multispectral and hyperspectral researchers and algorithm developers that will provide powerful new data manipulation and visualization tools to work in this data rich environment. NASA EOS MODIS and AIRS data as well as MSG SEVERI and METOP IASI data are now being used in conjunction with in situ and gridded data to develop new analysis and product validation techniques in the McIDAS-V environment. This new data analysis and visualization system will support both researchers and operational users of the advanced measurement systems on NPOESS and GOES R.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Achtor, Thomas Rink, Thomas Whittaker, David Parker, and David Santek "McIDAS-V: a powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data", Proc. SPIE 7085, Atmospheric and Environmental Remote Sensing Data Processing and Utilization IV: Readiness for GEOSS II, 708509 (10 September 2008); https://doi.org/10.1117/12.795223
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Cited by 4 scholarly publications.
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KEYWORDS
Visualization

Algorithm development

Data analysis

Satellites

Visual analytics

Data modeling

Software development

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