Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
The thickness of Arctic sea ice plays a critical role in Earth's climate and ocean circulation. An accurate measurement of this parameter on synoptic scales at regular intervals would enable characterization of this important component for the understanding of ocean circulation and the global h...
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ftnasajpl:oai:trs.jpl.nasa.gov:2014/39504 2023-05-15T15:05:00+02:00 Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development Hussein, Ziad A. Holt, Benjamin McDonald, Kyle C. Jordan, Rolando Huang, John Kuga, Yasuo Ishimaru, Akira Jaruwatanadilok, Sermsak Gogineni, Prasad Heavey, Brandon Akins, Torry Perovich, Don Sturm, Matthew 2006-07-13T20:44:54Z 2088208 bytes application/pdf http://hdl.handle.net/2014/39504 en_US eng Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. Remote Sensing Conference, Bruges, Belgium, September 19, 2005. 05-2724 http://hdl.handle.net/2014/39504 sea ice remote sensing interferometer Preprint 2006 ftnasajpl 2021-12-23T13:11:51Z The thickness of Arctic sea ice plays a critical role in Earth's climate and ocean circulation. An accurate measurement of this parameter on synoptic scales at regular intervals would enable characterization of this important component for the understanding of ocean circulation and the global heat balance. Presented in this paper is a low frequency VHF interferometer technique and associated radar instrument design to measure sea ice thickness based on the use of backscatter correlation functions. The sea ice medium is represented as a multi-layered medium consisting of snow, seaice and sea water, with the interfaces between layers characterized as rough surfaces. This technique utilizes the correlation of two radar waves of different frequencies and incident and observation angles, scattered from the sea ice medium. The correlation functions relate information about the sea ice thickness. Inversion techniques such as the genetic algorithm, gradient descent, and least square methods, are used to derive sea ice thickness from the phase information related by the correlation functions. NASA/JPL Report Arctic Sea ice JPL Technical Report Server Arctic |
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JPL Technical Report Server |
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ftnasajpl |
language |
English |
topic |
sea ice remote sensing interferometer |
spellingShingle |
sea ice remote sensing interferometer Hussein, Ziad A. Holt, Benjamin McDonald, Kyle C. Jordan, Rolando Huang, John Kuga, Yasuo Ishimaru, Akira Jaruwatanadilok, Sermsak Gogineni, Prasad Heavey, Brandon Akins, Torry Perovich, Don Sturm, Matthew Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
topic_facet |
sea ice remote sensing interferometer |
description |
The thickness of Arctic sea ice plays a critical role in Earth's climate and ocean circulation. An accurate measurement of this parameter on synoptic scales at regular intervals would enable characterization of this important component for the understanding of ocean circulation and the global heat balance. Presented in this paper is a low frequency VHF interferometer technique and associated radar instrument design to measure sea ice thickness based on the use of backscatter correlation functions. The sea ice medium is represented as a multi-layered medium consisting of snow, seaice and sea water, with the interfaces between layers characterized as rough surfaces. This technique utilizes the correlation of two radar waves of different frequencies and incident and observation angles, scattered from the sea ice medium. The correlation functions relate information about the sea ice thickness. Inversion techniques such as the genetic algorithm, gradient descent, and least square methods, are used to derive sea ice thickness from the phase information related by the correlation functions. NASA/JPL |
format |
Report |
author |
Hussein, Ziad A. Holt, Benjamin McDonald, Kyle C. Jordan, Rolando Huang, John Kuga, Yasuo Ishimaru, Akira Jaruwatanadilok, Sermsak Gogineni, Prasad Heavey, Brandon Akins, Torry Perovich, Don Sturm, Matthew |
author_facet |
Hussein, Ziad A. Holt, Benjamin McDonald, Kyle C. Jordan, Rolando Huang, John Kuga, Yasuo Ishimaru, Akira Jaruwatanadilok, Sermsak Gogineni, Prasad Heavey, Brandon Akins, Torry Perovich, Don Sturm, Matthew |
author_sort |
Hussein, Ziad A. |
title |
Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
title_short |
Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
title_full |
Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
title_fullStr |
Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
title_full_unstemmed |
Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
title_sort |
remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development |
publisher |
Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. |
publishDate |
2006 |
url |
http://hdl.handle.net/2014/39504 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
Remote Sensing Conference, Bruges, Belgium, September 19, 2005. 05-2724 http://hdl.handle.net/2014/39504 |
_version_ |
1766336766128685056 |