Volcanic water vapour abundance retrieved using hyperspectral data
In the present study a remote sensing differential absorption technique, already developed to calculate the atmospheric water vapour abundance, has been adapted to calculate water vapour columnar abundance in tropospheric volcanic plume. Water vapour is the most abundant gas of a volcanic plume rele...
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creator | Spinetti, C. Buongiorno, M.F. |
description | In the present study a remote sensing differential absorption technique, already developed to calculate the atmospheric water vapour abundance, has been adapted to calculate water vapour columnar abundance in tropospheric volcanic plume. Water vapour is the most abundant gas of a volcanic plume released into the atmosphere from an active volcanic system. The technique is based on the correlation between the dip in the spectral curve measured by the spectrometer were water vapour absorptions bands are presents, and the precipitable water content in the column. Airborne and satellite remote sensing images in the infrared wavelength range were used. The technique has been applied to data acquired over two different degassing volcanoes. The Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) acquired data over the Hawaiian Pu'u'O'o Vent cone of the Kilauea volcano on April 2000. The Hyperion sensor on EO-1 satellite has been requested to acquire data on July 2003, during a ground-based measurements campaign on Mt. Etna (Italy). The result is the spatial distribution of water vapour abundance of the Mt. Etna and of the Pu'u'O'o Vent volcanic plumes. A comparison between the two results has been done, showing the differences in the volcanic activity. The algorithm produces reliable results compared to the ground based measurements in the plume area acquired during a measurements campaign over Mt. Etna. |
doi_str_mv | 10.1109/IGARSS.2004.1368702 |
format | Conference Proceeding |
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Water vapour is the most abundant gas of a volcanic plume released into the atmosphere from an active volcanic system. The technique is based on the correlation between the dip in the spectral curve measured by the spectrometer were water vapour absorptions bands are presents, and the precipitable water content in the column. Airborne and satellite remote sensing images in the infrared wavelength range were used. The technique has been applied to data acquired over two different degassing volcanoes. The Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) acquired data over the Hawaiian Pu'u'O'o Vent cone of the Kilauea volcano on April 2000. The Hyperion sensor on EO-1 satellite has been requested to acquire data on July 2003, during a ground-based measurements campaign on Mt. Etna (Italy). The result is the spatial distribution of water vapour abundance of the Mt. Etna and of the Pu'u'O'o Vent volcanic plumes. A comparison between the two results has been done, showing the differences in the volcanic activity. The algorithm produces reliable results compared to the ground based measurements in the plume area acquired during a measurements campaign over Mt. Etna.</description><identifier>ISBN: 9780780387423</identifier><identifier>ISBN: 0780387422</identifier><identifier>DOI: 10.1109/IGARSS.2004.1368702</identifier><language>eng</language><publisher>IEEE</publisher><subject>Area measurement ; Hyperspectral imaging ; Hyperspectral sensors ; Information retrieval ; Infrared imaging ; Remote sensing ; Satellites ; Spectroscopy ; Vents ; Volcanoes</subject><ispartof>IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004, Vol.2, p.1487-1490 vol.2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1368702$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1368702$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Spinetti, C.</creatorcontrib><creatorcontrib>Buongiorno, M.F.</creatorcontrib><title>Volcanic water vapour abundance retrieved using hyperspectral data</title><title>IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium</title><addtitle>IGARSS</addtitle><description>In the present study a remote sensing differential absorption technique, already developed to calculate the atmospheric water vapour abundance, has been adapted to calculate water vapour columnar abundance in tropospheric volcanic plume. Water vapour is the most abundant gas of a volcanic plume released into the atmosphere from an active volcanic system. The technique is based on the correlation between the dip in the spectral curve measured by the spectrometer were water vapour absorptions bands are presents, and the precipitable water content in the column. Airborne and satellite remote sensing images in the infrared wavelength range were used. The technique has been applied to data acquired over two different degassing volcanoes. The Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) acquired data over the Hawaiian Pu'u'O'o Vent cone of the Kilauea volcano on April 2000. The Hyperion sensor on EO-1 satellite has been requested to acquire data on July 2003, during a ground-based measurements campaign on Mt. Etna (Italy). The result is the spatial distribution of water vapour abundance of the Mt. Etna and of the Pu'u'O'o Vent volcanic plumes. A comparison between the two results has been done, showing the differences in the volcanic activity. The algorithm produces reliable results compared to the ground based measurements in the plume area acquired during a measurements campaign over Mt. Etna.</description><subject>Area measurement</subject><subject>Hyperspectral imaging</subject><subject>Hyperspectral sensors</subject><subject>Information retrieval</subject><subject>Infrared imaging</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Spectroscopy</subject><subject>Vents</subject><subject>Volcanoes</subject><isbn>9780780387423</isbn><isbn>0780387422</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jr0OgjAURpsYE43yBCx9AbFAhTKq8W8V40qu5ao1CE1bMLy9DM5-OckZzvIR4ocsCEOWLU-H9TnPg4gxHoRxIlIWjYiXpYINxCLlUTwhnrUvNoyvWMLFlGyuTSWhVpJ-wKGhHeimNRRubV1CLZEadEZhhyVtraof9NlrNFajdAYqWoKDORnfobLo_Twj_n532R4XChELbdQbTF_8HsX_6xeCmTuL</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Spinetti, C.</creator><creator>Buongiorno, M.F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2004</creationdate><title>Volcanic water vapour abundance retrieved using hyperspectral data</title><author>Spinetti, C. ; Buongiorno, M.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_13687023</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Area measurement</topic><topic>Hyperspectral imaging</topic><topic>Hyperspectral sensors</topic><topic>Information retrieval</topic><topic>Infrared imaging</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Spectroscopy</topic><topic>Vents</topic><topic>Volcanoes</topic><toplevel>online_resources</toplevel><creatorcontrib>Spinetti, C.</creatorcontrib><creatorcontrib>Buongiorno, M.F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Spinetti, C.</au><au>Buongiorno, M.F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Volcanic water vapour abundance retrieved using hyperspectral data</atitle><btitle>IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2004</date><risdate>2004</risdate><volume>2</volume><spage>1487</spage><epage>1490 vol.2</epage><pages>1487-1490 vol.2</pages><isbn>9780780387423</isbn><isbn>0780387422</isbn><abstract>In the present study a remote sensing differential absorption technique, already developed to calculate the atmospheric water vapour abundance, has been adapted to calculate water vapour columnar abundance in tropospheric volcanic plume. Water vapour is the most abundant gas of a volcanic plume released into the atmosphere from an active volcanic system. The technique is based on the correlation between the dip in the spectral curve measured by the spectrometer were water vapour absorptions bands are presents, and the precipitable water content in the column. Airborne and satellite remote sensing images in the infrared wavelength range were used. The technique has been applied to data acquired over two different degassing volcanoes. The Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) acquired data over the Hawaiian Pu'u'O'o Vent cone of the Kilauea volcano on April 2000. The Hyperion sensor on EO-1 satellite has been requested to acquire data on July 2003, during a ground-based measurements campaign on Mt. Etna (Italy). The result is the spatial distribution of water vapour abundance of the Mt. Etna and of the Pu'u'O'o Vent volcanic plumes. A comparison between the two results has been done, showing the differences in the volcanic activity. The algorithm produces reliable results compared to the ground based measurements in the plume area acquired during a measurements campaign over Mt. Etna.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2004.1368702</doi></addata></record> |
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subjects | Area measurement Hyperspectral imaging Hyperspectral sensors Information retrieval Infrared imaging Remote sensing Satellites Spectroscopy Vents Volcanoes |
title | Volcanic water vapour abundance retrieved using hyperspectral data |
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