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Journal of Applied Remote Sensing

Statistical estimation of a 13.3 μm Visible Infrared Imaging Radiometer Suite channel using multisensor data fusion
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Paper Abstract

We describe an algorithm for creating a virtual, statistically estimated 13.3-μm band for the Visible Infrared Imaging Radiometer Suite (VIIRS), an instrument aboard the National Oceanic and Atmospheric Administration’s (NOAA’s) operational satellite, Suomi NPP. VIIRS does not have a 13.3-μm band, although this band has important applications such as estimating cloud-top pressure. We demonstrate that a reliable estimate of the missing data can be created with a multisensor approach, using other VIIRS bands at 4, 9, 11, and 12 μm, as well as input from the Cross-track Infrared Sounder, on board the same satellite, which produces data at a much finer spectral resolution but lower spatial resolution. In addition, we evaluate the algorithm by applying it to data from the Moderate Resolution Image Spectroradiometer (MODIS) and the Atmospheric Infrared Sounder (AIRS), both on the Aqua satellite. MODIS and AIRS provide a benchmark for measuring the accuracy of the algorithm since, unlike VIIRS, MODIS makes measurements in the 13.3-μm band.

Paper Details

Date Published: 27 November 2013
PDF: 12 pages
J. Appl. Remote Sens. 7(1) 073473 doi: 10.1117/1.JRS.7.073473
Published in: Journal of Applied Remote Sensing Volume 7, Issue 1
Show Author Affiliations
James H. Cross, The City College of New York (United States)
Irina Gladkova, The City College of New York (United States)
W. Paul Menzel, Univ. of Wisconsin-Madison (United States)
Andrew K. Heidinger, National Oceanic and Atmospheric Administration (United States)
Michael D. Grossberg, The City College of New York (United States)

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