Passive Microwave Remote Sensing of the Antarctic Ice Sheet: Retrieval of Firn Properties Near the Concordia Station
This paper discusses the retrieval of important thermal and physical properties of the Antarctic firn via spaceborne microwave radiometry focusing on the Concordia station. Previous studies have indicated that microwave radiometer measurements are sensitive to important properties of the firn from i...
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Veröffentlicht in: | IEEE geoscience and remote sensing letters 2024-01, Vol.21, p.1-1 |
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description | This paper discusses the retrieval of important thermal and physical properties of the Antarctic firn via spaceborne microwave radiometry focusing on the Concordia station. Previous studies have indicated that microwave radiometer measurements are sensitive to important properties of the firn from its surface down to deep isothermal ice. Expanding on those work, yearlong AMSR2 and SSMIS radiometer measurements over the Concordia station have been used to create brightness temperature spectrograms, i.e., brightness temperatures versus month and frequency, and these spectrograms have been used to retrieve subsurface density and temperature properties of the firn using a plausible forward radiation model. It has been found that, utilizing the wide microwave spectrum and long-term measurements, density variations due to internal firn layering, as well as seasonal temperature variations in the near-surface firn can be accurately estimated. In addition, densification of the firn with depth and the deep firn temperature can be retrieved with adequate ancillary data. The results mainly suggest that when deployed with other instruments such as ground penetrating radars, wideband microwave radiometers can be useful for characterization of ice sheets in future polar remote sensing missions. |
doi_str_mv | 10.1109/LGRS.2023.3343594 |
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Previous studies have indicated that microwave radiometer measurements are sensitive to important properties of the firn from its surface down to deep isothermal ice. Expanding on those work, yearlong AMSR2 and SSMIS radiometer measurements over the Concordia station have been used to create brightness temperature spectrograms, i.e., brightness temperatures versus month and frequency, and these spectrograms have been used to retrieve subsurface density and temperature properties of the firn using a plausible forward radiation model. It has been found that, utilizing the wide microwave spectrum and long-term measurements, density variations due to internal firn layering, as well as seasonal temperature variations in the near-surface firn can be accurately estimated. In addition, densification of the firn with depth and the deep firn temperature can be retrieved with adequate ancillary data. The results mainly suggest that when deployed with other instruments such as ground penetrating radars, wideband microwave radiometers can be useful for characterization of ice sheets in future polar remote sensing missions.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2023.3343594</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>AMSR2 ; Antarctic ice sheet ; Antarctica ; Brightness ; Brightness temperature ; Concordia ; Densification ; Density ; Firn ; Glaciation ; Global Precipitation Measurement Mission ; Ground penetrating radar ; Ice sheets ; Microwave FET integrated circuits ; Microwave imagery ; Microwave integrated circuits ; Microwave measurement ; Microwave radiometers ; Microwave radiometry ; Physical properties ; polar firn ; Radiometers ; Radiometry ; Remote sensing ; Retrieval ; Special Sensor Microwave Imager ; Spectrogram ; Spectrograms ; SSMIS ; Surface radiation temperature ; Temperature ; Temperature measurement ; Temperature variations</subject><ispartof>IEEE geoscience and remote sensing letters, 2024-01, Vol.21, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c246t-df9b645fe3537c1b4e9c32a9863ec6703894d6712cdaa01a40d5202d288094cc3</cites><orcidid>0000-0003-2570-6037 ; 0000-0001-5452-1862</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10360867$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10360867$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kar, Rahul</creatorcontrib><creatorcontrib>Aksoy, Mustafa</creatorcontrib><title>Passive Microwave Remote Sensing of the Antarctic Ice Sheet: Retrieval of Firn Properties Near the Concordia Station</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>This paper discusses the retrieval of important thermal and physical properties of the Antarctic firn via spaceborne microwave radiometry focusing on the Concordia station. Previous studies have indicated that microwave radiometer measurements are sensitive to important properties of the firn from its surface down to deep isothermal ice. Expanding on those work, yearlong AMSR2 and SSMIS radiometer measurements over the Concordia station have been used to create brightness temperature spectrograms, i.e., brightness temperatures versus month and frequency, and these spectrograms have been used to retrieve subsurface density and temperature properties of the firn using a plausible forward radiation model. It has been found that, utilizing the wide microwave spectrum and long-term measurements, density variations due to internal firn layering, as well as seasonal temperature variations in the near-surface firn can be accurately estimated. In addition, densification of the firn with depth and the deep firn temperature can be retrieved with adequate ancillary data. The results mainly suggest that when deployed with other instruments such as ground penetrating radars, wideband microwave radiometers can be useful for characterization of ice sheets in future polar remote sensing missions.</description><subject>AMSR2</subject><subject>Antarctic ice sheet</subject><subject>Antarctica</subject><subject>Brightness</subject><subject>Brightness temperature</subject><subject>Concordia</subject><subject>Densification</subject><subject>Density</subject><subject>Firn</subject><subject>Glaciation</subject><subject>Global Precipitation Measurement Mission</subject><subject>Ground penetrating radar</subject><subject>Ice sheets</subject><subject>Microwave FET integrated circuits</subject><subject>Microwave imagery</subject><subject>Microwave integrated circuits</subject><subject>Microwave measurement</subject><subject>Microwave radiometers</subject><subject>Microwave radiometry</subject><subject>Physical properties</subject><subject>polar firn</subject><subject>Radiometers</subject><subject>Radiometry</subject><subject>Remote sensing</subject><subject>Retrieval</subject><subject>Special Sensor Microwave Imager</subject><subject>Spectrogram</subject><subject>Spectrograms</subject><subject>SSMIS</subject><subject>Surface radiation temperature</subject><subject>Temperature</subject><subject>Temperature measurement</subject><subject>Temperature variations</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkMFKAzEQhhdRsFYfQPAQ8Lw12SS7iTcpthaqllbBW0izszZFNzVJK769WduDp_lhvn8Gviy7JHhACJY30_F8MShwQQeUMsolO8p6hHORY16R4y4znnMp3k6zsxDWGBdMiKqXxZkOwe4APVrj3bdOaQ6fLgJaQBts-45cg-IK0F0btTfRGjQxabkCiLcJjd7CTn901Mj6Fs2824CPFgJ6Au3_qkPXGudrq9Ei6mhde56dNPojwMVh9rPX0f3L8CGfPo8nw7tpbgpWxrxu5LJkvAHKaWXIkoE0tNBSlBRMWWEqJKvLihSm1hoTzXDNk4K6EAJLZgztZ9f7uxvvvrYQolq7rW_TS1VIXHFGcUUTRfZUEhCCh0ZtvP3U_kcRrDq5qpOrOrnqIDd1rvYdCwD_eFpiUVb0F2bndfs</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Kar, Rahul</creator><creator>Aksoy, Mustafa</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-2570-6037</orcidid><orcidid>https://orcid.org/0000-0001-5452-1862</orcidid></search><sort><creationdate>20240101</creationdate><title>Passive Microwave Remote Sensing of the Antarctic Ice Sheet: Retrieval of Firn Properties Near the Concordia Station</title><author>Kar, Rahul ; Aksoy, Mustafa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c246t-df9b645fe3537c1b4e9c32a9863ec6703894d6712cdaa01a40d5202d288094cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>AMSR2</topic><topic>Antarctic ice sheet</topic><topic>Antarctica</topic><topic>Brightness</topic><topic>Brightness temperature</topic><topic>Concordia</topic><topic>Densification</topic><topic>Density</topic><topic>Firn</topic><topic>Glaciation</topic><topic>Global Precipitation Measurement Mission</topic><topic>Ground penetrating radar</topic><topic>Ice sheets</topic><topic>Microwave FET integrated circuits</topic><topic>Microwave imagery</topic><topic>Microwave integrated circuits</topic><topic>Microwave measurement</topic><topic>Microwave radiometers</topic><topic>Microwave radiometry</topic><topic>Physical properties</topic><topic>polar firn</topic><topic>Radiometers</topic><topic>Radiometry</topic><topic>Remote sensing</topic><topic>Retrieval</topic><topic>Special Sensor Microwave Imager</topic><topic>Spectrogram</topic><topic>Spectrograms</topic><topic>SSMIS</topic><topic>Surface radiation temperature</topic><topic>Temperature</topic><topic>Temperature measurement</topic><topic>Temperature variations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kar, Rahul</creatorcontrib><creatorcontrib>Aksoy, Mustafa</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE geoscience and remote sensing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kar, Rahul</au><au>Aksoy, Mustafa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Passive Microwave Remote Sensing of the Antarctic Ice Sheet: Retrieval of Firn Properties Near the Concordia Station</atitle><jtitle>IEEE geoscience and remote sensing letters</jtitle><stitle>LGRS</stitle><date>2024-01-01</date><risdate>2024</risdate><volume>21</volume><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>1545-598X</issn><eissn>1558-0571</eissn><coden>IGRSBY</coden><abstract>This paper discusses the retrieval of important thermal and physical properties of the Antarctic firn via spaceborne microwave radiometry focusing on the Concordia station. Previous studies have indicated that microwave radiometer measurements are sensitive to important properties of the firn from its surface down to deep isothermal ice. Expanding on those work, yearlong AMSR2 and SSMIS radiometer measurements over the Concordia station have been used to create brightness temperature spectrograms, i.e., brightness temperatures versus month and frequency, and these spectrograms have been used to retrieve subsurface density and temperature properties of the firn using a plausible forward radiation model. It has been found that, utilizing the wide microwave spectrum and long-term measurements, density variations due to internal firn layering, as well as seasonal temperature variations in the near-surface firn can be accurately estimated. In addition, densification of the firn with depth and the deep firn temperature can be retrieved with adequate ancillary data. The results mainly suggest that when deployed with other instruments such as ground penetrating radars, wideband microwave radiometers can be useful for characterization of ice sheets in future polar remote sensing missions.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LGRS.2023.3343594</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-2570-6037</orcidid><orcidid>https://orcid.org/0000-0001-5452-1862</orcidid></addata></record> |
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subjects | AMSR2 Antarctic ice sheet Antarctica Brightness Brightness temperature Concordia Densification Density Firn Glaciation Global Precipitation Measurement Mission Ground penetrating radar Ice sheets Microwave FET integrated circuits Microwave imagery Microwave integrated circuits Microwave measurement Microwave radiometers Microwave radiometry Physical properties polar firn Radiometers Radiometry Remote sensing Retrieval Special Sensor Microwave Imager Spectrogram Spectrograms SSMIS Surface radiation temperature Temperature Temperature measurement Temperature variations |
title | Passive Microwave Remote Sensing of the Antarctic Ice Sheet: Retrieval of Firn Properties Near the Concordia Station |
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