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Remote Sens. 2016, 8(6), 523; doi:10.3390/rs8060523

Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites

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
3
Northrop Grumman Aerospace Systems, Redondo Beach, CA 90278, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Walt Meier, Mark Tschudi, Xiaofeng Li and Prasad S. Thenkabail
Received: 9 March 2016 / Revised: 1 June 2016 / Accepted: 13 June 2016 / Published: 22 June 2016
(This article belongs to the Special Issue Sea Ice Remote Sensing and Analysis)
View Full-Text   |   Download PDF [5978 KB, uploaded 22 June 2016]   |  

Abstract

Information on ice is important for shipping, weather forecasting, and climate monitoring. Historically, ice cover has been detected and ice concentration has been measured using relatively low-resolution space-based passive microwave data. This study presents an algorithm to detect ice and estimate ice concentration in clear-sky areas over the ocean and inland lakes and rivers using high-resolution data from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar Orbiting Partnership (S-NPP) and on future Joint Polar Satellite System (JPSS) satellites, providing spatial detail that cannot be obtained with passive microwave data. A threshold method is employed with visible and infrared observations to identify ice, then a tie-point algorithm is used to determine the representative reflectance/temperature of pure ice, estimate the ice concentration, and refine the ice cover mask. The VIIRS ice concentration is validated using observations from Landsat 8. Results show that VIIRS has an overall bias of −0.3% compared to Landsat 8 ice concentration, with a precision (uncertainty) of 9.5%. Biases and precision values for different ice concentration subranges from 0% to 100% can be larger. View Full-Text
Keywords: ice; ice concentration; Suomi NPP; JPSS; remote sensing ice; ice concentration; 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.; Key, J.; Mahoney, R. Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites. Remote Sens. 2016, 8, 523.

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