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Remote Sens. 2018, 10(12), 1909; https://doi.org/10.3390/rs10121909

Ice Surface Temperature Retrieval from a Single Satellite Imager Band

1
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, 1225 West Dayton St., Madison, WI 53706, USA
2
NOAA/NESDIS, 1225 West Dayton St., Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
Received: 7 October 2018 / Revised: 25 November 2018 / Accepted: 28 November 2018 / Published: 29 November 2018
(This article belongs to the Special Issue Satellite Derived Global Ocean Product Validation/Evaluation)
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Abstract

Current methods for estimating the surface temperature of sea and lake ice—the ice surface temperature (IST)—utilize two satellite imager thermal bands (11 and 12 μm) at moderate spatial resolution. These “split-window” or dual-band methods have been shown to have low biases and uncertainties. A single-band algorithm would be useful for satellite imagers that have only the 11 μm band at high resolution, such as the Visible Infrared Imaging Radiometer Suite (VIIRS), or that do not have a fully functional 12 μm band, such as the Thermal Infrared Sensor onboard the Landsat 8. This study presents a method for single-band IST retrievals, and validation of the retrievals using IST measurements from an airborne infrared radiation pyrometer during the NASA IceBridge campaign in the Arctic. Results show that IST with a single thermal band from the VIIRS has comparable performance to IST with the VIIRS dual-band (split-window) method, with a bias of 0.22 K and root-mean-square error of 1.03 K. View Full-Text
Keywords: sea ice; ice surface temperature; Suomi NPP; JPSS; remote sensing sea ice; ice surface temperature; Suomi NPP; JPSS; remote sensing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liu, Y.; Dworak, R.; Key, J. Ice Surface Temperature Retrieval from a Single Satellite Imager Band. Remote Sens. 2018, 10, 1909.

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