Research Papers

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

[+] Author Affiliations
James Cross

City College of New York, Department of Computer Science, 160 Convent Avenue, New York, New York 10031

Irina Gladkova

City College of New York, Department of Computer Science, 160 Convent Avenue, New York, New York 10031

W. Paul Menzel

CIMSS/University of Wisconsin, 1225 West Dayton Street, Madison, Wisconsin 53706

Andrew Heidinger

NOAA/NESDIS/STAR, 1225 West Dayton Street, Madison, Wisconsin 53706

Michael D. Grossberg

City College of New York, Department of Computer Science, 160 Convent Avenue, New York, New York 10031

J. Appl. Remote Sens. 7(1), 073473 (Nov 27, 2013). doi:10.1117/1.JRS.7.073473
History: Received August 2, 2013; Revised October 28, 2013; Accepted October 30, 2013
Text Size: A A A

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.

Figures in this Article
© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

James Cross ; Irina Gladkova ; W. Paul Menzel ; Andrew Heidinger and Michael D. Grossberg
"Statistical estimation of a 13.3 μm Visible Infrared Imaging Radiometer Suite channel using multisensor data fusion", J. Appl. Remote Sens. 7(1), 073473 (Nov 27, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073473


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.