Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence
Identifieur interne : 000377 ( Istex/Corpus ); précédent : 000376; suivant : 000378Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence
Auteurs : B. Moeremans ; S. DautrebandeSource :
- Journal of Hydrology [ 0022-1694 ] ; 2000.
English descriptors
Abstract
The feasibility of using multi-temporal spaceborne Synthetic Aperture Radar (SAR) imagery for the evaluation of soil moisture at a field and regional scale is evaluated through the use of European Remote Sensing Satellite (ERS-1 and ERS-2) images. Six pairs of Single Look Complex (SLC) images and six Precision Images (PRI) were acquired during the 1996 Tandem mission for the test site of Gembloux, in Belgium. The SLC images of each Tandem pair were processed by the “Centre Spatial de Liège” (CSL) in order to produce interferometric coherence images, and the PRI were calibrated; all the images were coregistered and rectified. The backscattering coefficient values and the mean coherence values were calculated for each pilot field and compared with soil moisture and crop characteristics measurements. Our study confirms that for bare soil fields, a linear relationship exists between the volumetric near-surface soil moisture and the backscattering coefficient for unsaturated soils, with a determination coefficient of 0.75. The innovative key point of the study shows an excellent correlation between the backscatter value of the image subset of the test site (80sq.km), and the corresponding mean soil moisture measurements, with a determination coefficient of 0.98. The image subset comprises mostly agricultural fields but also forests, meadows and urban areas. Moreover, the relation is as valid in the spring, before the growing season, as in the summer, when the vegetation cover is high. The study also reveals that coherence images are useful to identify bare soil fields.
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DOI: 10.1016/S0022-1694(00)00251-1
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Dautrebande</name><affiliation><mods:affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: moeremans.b@fsagx.ac.be</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:97CEE2758BDC06B6D3406EBD72AD632834D4EB03</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1016/S0022-1694(00)00251-1</idno><idno type="url">https://api.istex.fr/document/97CEE2758BDC06B6D3406EBD72AD632834D4EB03/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000377</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000377</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</title><author><name sortKey="Moeremans, B" sort="Moeremans, B" uniqKey="Moeremans B" first="B" last="Moeremans">B. Moeremans</name><affiliation><mods:affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: moeremans.b@fsagx.ac.be</mods:affiliation></affiliation></author><author><name sortKey="Dautrebande, S" sort="Dautrebande, S" uniqKey="Dautrebande S" first="S" last="Dautrebande">S. Dautrebande</name><affiliation><mods:affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: moeremans.b@fsagx.ac.be</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Hydrology</title><title level="j" type="abbrev">HYDROL</title><idno type="ISSN">0022-1694</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000">2000</date><biblScope unit="volume">234</biblScope><biblScope unit="issue">3–4</biblScope><biblScope unit="page" from="162">162</biblScope><biblScope unit="page" to="169">169</biblScope></imprint><idno type="ISSN">0022-1694</idno></series><idno type="istex">97CEE2758BDC06B6D3406EBD72AD632834D4EB03</idno><idno type="DOI">10.1016/S0022-1694(00)00251-1</idno><idno type="PII">S0022-1694(00)00251-1</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0022-1694</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Active microwave</term><term>Remote sensing</term><term>Surface soil moisture</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The feasibility of using multi-temporal spaceborne Synthetic Aperture Radar (SAR) imagery for the evaluation of soil moisture at a field and regional scale is evaluated through the use of European Remote Sensing Satellite (ERS-1 and ERS-2) images. Six pairs of Single Look Complex (SLC) images and six Precision Images (PRI) were acquired during the 1996 Tandem mission for the test site of Gembloux, in Belgium. The SLC images of each Tandem pair were processed by the “Centre Spatial de Liège” (CSL) in order to produce interferometric coherence images, and the PRI were calibrated; all the images were coregistered and rectified. The backscattering coefficient values and the mean coherence values were calculated for each pilot field and compared with soil moisture and crop characteristics measurements. Our study confirms that for bare soil fields, a linear relationship exists between the volumetric near-surface soil moisture and the backscattering coefficient for unsaturated soils, with a determination coefficient of 0.75. The innovative key point of the study shows an excellent correlation between the backscatter value of the image subset of the test site (80sq.km), and the corresponding mean soil moisture measurements, with a determination coefficient of 0.98. The image subset comprises mostly agricultural fields but also forests, meadows and urban areas. Moreover, the relation is as valid in the spring, before the growing season, as in the summer, when the vegetation cover is high. The study also reveals that coherence images are useful to identify bare soil fields.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>B Moeremans</name><affiliations><json:string>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</json:string><json:string>E-mail: moeremans.b@fsagx.ac.be</json:string></affiliations></json:item><json:item><name>S Dautrebande</name><affiliations><json:string>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</json:string><json:string>E-mail: moeremans.b@fsagx.ac.be</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Remote sensing</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Active microwave</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Surface soil moisture</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>The feasibility of using multi-temporal spaceborne Synthetic Aperture Radar (SAR) imagery for the evaluation of soil moisture at a field and regional scale is evaluated through the use of European Remote Sensing Satellite (ERS-1 and ERS-2) images. Six pairs of Single Look Complex (SLC) images and six Precision Images (PRI) were acquired during the 1996 Tandem mission for the test site of Gembloux, in Belgium. The SLC images of each Tandem pair were processed by the “Centre Spatial de Liège” (CSL) in order to produce interferometric coherence images, and the PRI were calibrated; all the images were coregistered and rectified. The backscattering coefficient values and the mean coherence values were calculated for each pilot field and compared with soil moisture and crop characteristics measurements. Our study confirms that for bare soil fields, a linear relationship exists between the volumetric near-surface soil moisture and the backscattering coefficient for unsaturated soils, with a determination coefficient of 0.75. The innovative key point of the study shows an excellent correlation between the backscatter value of the image subset of the test site (80sq.km), and the corresponding mean soil moisture measurements, with a determination coefficient of 0.98. The image subset comprises mostly agricultural fields but also forests, meadows and urban areas. Moreover, the relation is as valid in the spring, before the growing season, as in the summer, when the vegetation cover is high. The study also reveals that coherence images are useful to identify bare soil fields.</abstract><qualityIndicators><score>5.87</score><pdfVersion>1.2</pdfVersion><pdfPageSize>544 x 743 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>3</keywordCount><abstractCharCount>1590</abstractCharCount><pdfWordCount>2954</pdfWordCount><pdfCharCount>18176</pdfCharCount><pdfPageCount>8</pdfPageCount><abstractWordCount>243</abstractWordCount></qualityIndicators><title>Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</title><pii><json:string>S0022-1694(00)00251-1</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>234</volume><pii><json:string>S0022-1694(00)X0093-5</json:string></pii><pages><last>169</last><first>162</first></pages><issn><json:string>0022-1694</json:string></issn><issue>3–4</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Journal of Hydrology</title><publicationDate>2000</publicationDate></host><categories><wos><json:string>science</json:string><json:string>water resources</json:string><json:string>geosciences, multidisciplinary</json:string><json:string>engineering, civil</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>environmental engineering</json:string></scienceMetrix></categories><publicationDate>2000</publicationDate><copyrightDate>2000</copyrightDate><doi><json:string>10.1016/S0022-1694(00)00251-1</json:string></doi><id>97CEE2758BDC06B6D3406EBD72AD632834D4EB03</id><score>0.041554533</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/97CEE2758BDC06B6D3406EBD72AD632834D4EB03/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/97CEE2758BDC06B6D3406EBD72AD632834D4EB03/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/97CEE2758BDC06B6D3406EBD72AD632834D4EB03/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2000 Elsevier Science B.V.</p></availability><date>2000</date></publicationStmt><notesStmt><note type="content">Fig. 1: Scheme illustrating the entire ERS SAR image, the image subset covering the study area and the studied pilot fields.</note><note type="content">Fig. 2: Temporal evolution of the mean backscattering coefficient and the mean crop height for four crop types, and temporal evolution of the mean volumetric soil moisture (5cm).</note><note type="content">Fig. 3: Least squares linear regression between the volumetric soil moisture and the backscattering coefficient for bare or nearly bare fields.</note><note type="content">Fig. 4: Least squares linear regression between the mean volumetric soil moisture of the pilot agricultural fields and the backscattering coefficient of the image subset (19 March to 23 April, and 19 March to 2 July).</note><note type="content">Fig. 5: Temporal evolution of the mean coherence and the mean crop height for four crop types, and temporal evolution of the mean soil moisture (5cm).</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</title><author xml:id="author-1"><persName><forename type="first">B</forename><surname>Moeremans</surname></persName><email>moeremans.b@fsagx.ac.be</email><affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</affiliation></author><author xml:id="author-2"><persName><forename type="first">S</forename><surname>Dautrebande</surname></persName><email>moeremans.b@fsagx.ac.be</email><note type="correspondence"><p>Corresponding author. Fax: +32-81-622-181</p></note><affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</affiliation></author></analytic><monogr><title level="j">Journal of Hydrology</title><title level="j" type="abbrev">HYDROL</title><idno type="pISSN">0022-1694</idno><idno type="PII">S0022-1694(00)X0093-5</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000"></date><biblScope unit="volume">234</biblScope><biblScope unit="issue">3–4</biblScope><biblScope unit="page" from="162">162</biblScope><biblScope unit="page" to="169">169</biblScope></imprint></monogr><idno type="istex">97CEE2758BDC06B6D3406EBD72AD632834D4EB03</idno><idno type="DOI">10.1016/S0022-1694(00)00251-1</idno><idno type="PII">S0022-1694(00)00251-1</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2000</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The feasibility of using multi-temporal spaceborne Synthetic Aperture Radar (SAR) imagery for the evaluation of soil moisture at a field and regional scale is evaluated through the use of European Remote Sensing Satellite (ERS-1 and ERS-2) images. Six pairs of Single Look Complex (SLC) images and six Precision Images (PRI) were acquired during the 1996 Tandem mission for the test site of Gembloux, in Belgium. The SLC images of each Tandem pair were processed by the “Centre Spatial de Liège” (CSL) in order to produce interferometric coherence images, and the PRI were calibrated; all the images were coregistered and rectified. The backscattering coefficient values and the mean coherence values were calculated for each pilot field and compared with soil moisture and crop characteristics measurements. Our study confirms that for bare soil fields, a linear relationship exists between the volumetric near-surface soil moisture and the backscattering coefficient for unsaturated soils, with a determination coefficient of 0.75. The innovative key point of the study shows an excellent correlation between the backscatter value of the image subset of the test site (80sq.km), and the corresponding mean soil moisture measurements, with a determination coefficient of 0.98. The image subset comprises mostly agricultural fields but also forests, meadows and urban areas. Moreover, the relation is as valid in the spring, before the growing season, as in the summer, when the vegetation cover is high. The study also reveals that coherence images are useful to identify bare soil fields.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Remote sensing</term></item><item><term>Active microwave</term></item><item><term>Surface soil moisture</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2000-04-12">Modified</change><change when="2000">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/97CEE2758BDC06B6D3406EBD72AD632834D4EB03/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>HYDROL</jid><aid>4028</aid><ce:pii>S0022-1694(00)00251-1</ce:pii><ce:doi>10.1016/S0022-1694(00)00251-1</ce:doi><ce:copyright type="full-transfer" year="2000">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</ce:title><ce:author-group><ce:author><ce:given-name>B</ce:given-name><ce:surname>Moeremans</ce:surname><ce:e-address>moeremans.b@fsagx.ac.be</ce:e-address></ce:author><ce:author><ce:given-name>S</ce:given-name><ce:surname>Dautrebande</ce:surname><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>dautrebande.s@fsagx.ac.be</ce:e-address></ce:author><ce:affiliation><ce:textfn>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Fax: +32-81-622-181</ce:text></ce:correspondence></ce:author-group><ce:date-received day="2" month="3" year="1999"></ce:date-received><ce:date-revised day="12" month="4" year="2000"></ce:date-revised><ce:date-accepted day="12" month="4" year="2000"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The feasibility of using multi-temporal spaceborne Synthetic Aperture Radar (SAR) imagery for the evaluation of soil moisture at a field and regional scale is evaluated through the use of European Remote Sensing Satellite (ERS-1 and ERS-2) images. Six pairs of Single Look Complex (SLC) images and six Precision Images (PRI) were acquired during the 1996 Tandem mission for the test site of Gembloux, in Belgium. The SLC images of each Tandem pair were processed by the “Centre Spatial de Liège” (CSL) in order to produce interferometric coherence images, and the PRI were calibrated; all the images were coregistered and rectified. The backscattering coefficient values and the mean coherence values were calculated for each pilot field and compared with soil moisture and crop characteristics measurements. Our study confirms that for bare soil fields, a linear relationship exists between the volumetric near-surface soil moisture and the backscattering coefficient for unsaturated soils, with a determination coefficient of 0.75. The innovative key point of the study shows an excellent correlation between the backscatter value of the image subset of the test site (80<ce:hsp sp="0.25"></ce:hsp>sq.<ce:hsp sp="0.25"></ce:hsp>km), and the corresponding mean soil moisture measurements, with a determination coefficient of 0.98. The image subset comprises mostly agricultural fields but also forests, meadows and urban areas. Moreover, the relation is as valid in the spring, before the growing season, as in the summer, when the vegetation cover is high. The study also reveals that coherence images are useful to identify bare soil fields.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword" xml:lang="en"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Remote sensing</ce:text></ce:keyword><ce:keyword><ce:text>Active microwave</ce:text></ce:keyword><ce:keyword><ce:text>Surface soil moisture</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence</title></titleInfo><name type="personal"><namePart type="given">B</namePart><namePart type="family">Moeremans</namePart><affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</affiliation><affiliation>E-mail: moeremans.b@fsagx.ac.be</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S</namePart><namePart type="family">Dautrebande</namePart><affiliation>Department of Hydrology and Remote Sensing, Gembloux Agricultural University, Gembloux, Belgium</affiliation><affiliation>E-mail: moeremans.b@fsagx.ac.be</affiliation><description>Corresponding author. Fax: +32-81-622-181</description><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2000</dateIssued><dateModified encoding="w3cdtf">2000-04-12</dateModified><copyrightDate encoding="w3cdtf">2000</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">The feasibility of using multi-temporal spaceborne Synthetic Aperture Radar (SAR) imagery for the evaluation of soil moisture at a field and regional scale is evaluated through the use of European Remote Sensing Satellite (ERS-1 and ERS-2) images. Six pairs of Single Look Complex (SLC) images and six Precision Images (PRI) were acquired during the 1996 Tandem mission for the test site of Gembloux, in Belgium. The SLC images of each Tandem pair were processed by the “Centre Spatial de Liège” (CSL) in order to produce interferometric coherence images, and the PRI were calibrated; all the images were coregistered and rectified. The backscattering coefficient values and the mean coherence values were calculated for each pilot field and compared with soil moisture and crop characteristics measurements. Our study confirms that for bare soil fields, a linear relationship exists between the volumetric near-surface soil moisture and the backscattering coefficient for unsaturated soils, with a determination coefficient of 0.75. The innovative key point of the study shows an excellent correlation between the backscatter value of the image subset of the test site (80sq.km), and the corresponding mean soil moisture measurements, with a determination coefficient of 0.98. The image subset comprises mostly agricultural fields but also forests, meadows and urban areas. Moreover, the relation is as valid in the spring, before the growing season, as in the summer, when the vegetation cover is high. The study also reveals that coherence images are useful to identify bare soil fields.</abstract><note type="content">Fig. 1: Scheme illustrating the entire ERS SAR image, the image subset covering the study area and the studied pilot fields.</note><note type="content">Fig. 2: Temporal evolution of the mean backscattering coefficient and the mean crop height for four crop types, and temporal evolution of the mean volumetric soil moisture (5cm).</note><note type="content">Fig. 3: Least squares linear regression between the volumetric soil moisture and the backscattering coefficient for bare or nearly bare fields.</note><note type="content">Fig. 4: Least squares linear regression between the mean volumetric soil moisture of the pilot agricultural fields and the backscattering coefficient of the image subset (19 March to 23 April, and 19 March to 2 July).</note><note type="content">Fig. 5: Temporal evolution of the mean coherence and the mean crop height for four crop types, and temporal evolution of the mean soil moisture (5cm).</note><subject lang="en"><genre>Keywords</genre><topic>Remote sensing</topic><topic>Active microwave</topic><topic>Surface soil moisture</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Hydrology</title></titleInfo><titleInfo type="abbreviated"><title>HYDROL</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">20000701</dateIssued></originInfo><identifier type="ISSN">0022-1694</identifier><identifier type="PII">S0022-1694(00)X0093-5</identifier><part><date>20000701</date><detail type="volume"><number>234</number><caption>vol.</caption></detail><detail type="issue"><number>3–4</number><caption>no.</caption></detail><extent unit="issue pages"><start>113</start><end>266</end></extent><extent unit="pages"><start>162</start><end>169</end></extent></part></relatedItem><identifier type="istex">97CEE2758BDC06B6D3406EBD72AD632834D4EB03</identifier><identifier type="DOI">10.1016/S0022-1694(00)00251-1</identifier><identifier type="PII">S0022-1694(00)00251-1</identifier><accessCondition type="use and reproduction" contentType="copyright">©2000 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2000</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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