Using Imaging Spectroscopy to study soil properties
Identifieur interne : 000765 ( PascalFrancis/Curation ); précédent : 000764; suivant : 000766Using Imaging Spectroscopy to study soil properties
Auteurs : E. Ben-Dor [Israël] ; S. Chabrillat [Allemagne] ; J. A. M. Dematte [Brésil] ; G. R. Taylor [Australie] ; J. Hill [Allemagne] ; M. L. Whiting [États-Unis] ; S. Sommer [Italie]Source :
- Remote sensing of environment [ 0034-4257 ] ; 2009.
Descripteurs français
- Pascal (Inist)
- Utilisation, Capteur imagerie hyperspectral, Caractéristique sol, Imagerie, Spectrométrie, Signal, Bruit, Contamination, Atmosphère, Technologie, Pédologie, Science du sol, Détérioration du sol, Salinité, Erosion sol, Dépôt, Carte pédologique, Cartographie, Classification, Télédétection, Pouvoir réflecteur.
- Wicri :
- topic : Spectrométrie, Bruit, Atmosphère, Technologie, Cartographie, Classification, Télédétection.
English descriptors
- KwdEn :
Abstract
Imaging Spectroscopy (IS) is a promising tool for studying soil properties in large spatial domains. Going from point to image spectrometry is not only a journey from micro to macro scales, but also a long stage where problems such as dealing with data having a low signal-to-noise level, contamination of the atmosphere, large data sets, the BRDF effect and more are often encountered. In this paper we provide an up-to-date overview of some of the case studies that have used IS technology for soil science applications. Besides a brief discussion on the advantages and disadvantages of IS for studying soils, the following cases are comprehensively discussed: soil degradation (salinity, erosion, and deposition), soil mapping and classification, soil genesis and formation, soil contamination, soil water content, and soil swelling. We review these case studies and suggest that the IS data be provided to the end-users as real reflectance and not as raw data and with better signal-to-noise ratios than presently exist. This is because converting the raw data into reflectance is a complicated stage that requires experience, knowledge, and specific infrastructures not available to many users, whereas quantitative spectral models require good quality data. These limitations serve as a barrier that impedes potential end-users, inhibiting researchers from trying this technique for their needs. The paper ends with a general call to the soil science audience to extend the utilization of the IS technique, and it provides some ideas on how to propel this technology forward to enable its widespread adoption in order to achieve a breakthrough in the field of soil science and remote sensing.
pA |
|
---|
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000647
Links to Exploration step
Pascal:09-0440828Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Using Imaging Spectroscopy to study soil properties</title>
<author><name sortKey="Ben Dor, E" sort="Ben Dor, E" uniqKey="Ben Dor E" first="E." last="Ben-Dor">E. Ben-Dor</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Deparhnent of Geography and Human Environment, Tel Aviv University</s1>
<s3>ISR</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Israël</country>
</affiliation>
</author>
<author><name sortKey="Chabrillat, S" sort="Chabrillat, S" uniqKey="Chabrillat S" first="S." last="Chabrillat">S. Chabrillat</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>GeoForchungsZentrum(GFZ) Potsdam, Section 1.4: Remote Sensing</s1>
<s2>Potsdam</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
</affiliation>
</author>
<author><name sortKey="Dematte, J A M" sort="Dematte, J A M" uniqKey="Dematte J" first="J. A. M." last="Dematte">J. A. M. Dematte</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Department of Soil Science, São Paulo University, ESALQ</s1>
<s2>Piracicaba</s2>
<s3>BRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Brésil</country>
</affiliation>
</author>
<author><name sortKey="Taylor, G R" sort="Taylor, G R" uniqKey="Taylor G" first="G. R." last="Taylor">G. R. Taylor</name>
<affiliation wicri:level="1"><inist:fA14 i1="04"><s1>School of Biological, Earth and Environmental Science, University of New South Wales</s1>
<s2>Sydney</s2>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Hill, J" sort="Hill, J" uniqKey="Hill J" first="J." last="Hill">J. Hill</name>
<affiliation wicri:level="1"><inist:fA14 i1="05"><s1>Remote Sensing Department, Faculty of Geography/Geosciences, Trier University</s1>
<s3>DEU</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
</affiliation>
</author>
<author><name sortKey="Whiting, M L" sort="Whiting, M L" uniqKey="Whiting M" first="M. L." last="Whiting">M. L. Whiting</name>
<affiliation wicri:level="1"><inist:fA14 i1="06"><s1>Department of Land Air Water Resources, University of California</s1>
<s2>Davis, California</s2>
<s3>USA</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Sommer, S" sort="Sommer, S" uniqKey="Sommer S" first="S." last="Sommer">S. Sommer</name>
<affiliation wicri:level="1"><inist:fA14 i1="07"><s1>European Commission, DG Joint Research Centre, Institute for Environment and Sustainability</s1>
<s2>Ispra</s2>
<s3>ITA</s3>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Italie</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">09-0440828</idno>
<date when="2009">2009</date>
<idno type="stanalyst">PASCAL 09-0440828 INIST</idno>
<idno type="RBID">Pascal:09-0440828</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000647</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000765</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Using Imaging Spectroscopy to study soil properties</title>
<author><name sortKey="Ben Dor, E" sort="Ben Dor, E" uniqKey="Ben Dor E" first="E." last="Ben-Dor">E. Ben-Dor</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Deparhnent of Geography and Human Environment, Tel Aviv University</s1>
<s3>ISR</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Israël</country>
</affiliation>
</author>
<author><name sortKey="Chabrillat, S" sort="Chabrillat, S" uniqKey="Chabrillat S" first="S." last="Chabrillat">S. Chabrillat</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>GeoForchungsZentrum(GFZ) Potsdam, Section 1.4: Remote Sensing</s1>
<s2>Potsdam</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
</affiliation>
</author>
<author><name sortKey="Dematte, J A M" sort="Dematte, J A M" uniqKey="Dematte J" first="J. A. M." last="Dematte">J. A. M. Dematte</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Department of Soil Science, São Paulo University, ESALQ</s1>
<s2>Piracicaba</s2>
<s3>BRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Brésil</country>
</affiliation>
</author>
<author><name sortKey="Taylor, G R" sort="Taylor, G R" uniqKey="Taylor G" first="G. R." last="Taylor">G. R. Taylor</name>
<affiliation wicri:level="1"><inist:fA14 i1="04"><s1>School of Biological, Earth and Environmental Science, University of New South Wales</s1>
<s2>Sydney</s2>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Hill, J" sort="Hill, J" uniqKey="Hill J" first="J." last="Hill">J. Hill</name>
<affiliation wicri:level="1"><inist:fA14 i1="05"><s1>Remote Sensing Department, Faculty of Geography/Geosciences, Trier University</s1>
<s3>DEU</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
</affiliation>
</author>
<author><name sortKey="Whiting, M L" sort="Whiting, M L" uniqKey="Whiting M" first="M. L." last="Whiting">M. L. Whiting</name>
<affiliation wicri:level="1"><inist:fA14 i1="06"><s1>Department of Land Air Water Resources, University of California</s1>
<s2>Davis, California</s2>
<s3>USA</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Sommer, S" sort="Sommer, S" uniqKey="Sommer S" first="S." last="Sommer">S. Sommer</name>
<affiliation wicri:level="1"><inist:fA14 i1="07"><s1>European Commission, DG Joint Research Centre, Institute for Environment and Sustainability</s1>
<s2>Ispra</s2>
<s3>ITA</s3>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Italie</country>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Remote sensing of environment</title>
<title level="j" type="abbreviated">Remote sens. environ.</title>
<idno type="ISSN">0034-4257</idno>
<imprint><date when="2009">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Remote sensing of environment</title>
<title level="j" type="abbreviated">Remote sens. environ.</title>
<idno type="ISSN">0034-4257</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Hyperspectral imaging sensor</term>
<term>Property of soil</term>
<term>Soil deterioration</term>
<term>Soil science</term>
<term>atmosphere</term>
<term>cartography</term>
<term>classification</term>
<term>contamination</term>
<term>deposition</term>
<term>imagery</term>
<term>noise</term>
<term>reflectance</term>
<term>remote sensing</term>
<term>salinity</term>
<term>signals</term>
<term>soil erosion</term>
<term>soil sciences</term>
<term>soils maps</term>
<term>spectroscopy</term>
<term>technology</term>
<term>utilization</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Utilisation</term>
<term>Capteur imagerie hyperspectral</term>
<term>Caractéristique sol</term>
<term>Imagerie</term>
<term>Spectrométrie</term>
<term>Signal</term>
<term>Bruit</term>
<term>Contamination</term>
<term>Atmosphère</term>
<term>Technologie</term>
<term>Pédologie</term>
<term>Science du sol</term>
<term>Détérioration du sol</term>
<term>Salinité</term>
<term>Erosion sol</term>
<term>Dépôt</term>
<term>Carte pédologique</term>
<term>Cartographie</term>
<term>Classification</term>
<term>Télédétection</term>
<term>Pouvoir réflecteur</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Spectrométrie</term>
<term>Bruit</term>
<term>Atmosphère</term>
<term>Technologie</term>
<term>Cartographie</term>
<term>Classification</term>
<term>Télédétection</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Imaging Spectroscopy (IS) is a promising tool for studying soil properties in large spatial domains. Going from point to image spectrometry is not only a journey from micro to macro scales, but also a long stage where problems such as dealing with data having a low signal-to-noise level, contamination of the atmosphere, large data sets, the BRDF effect and more are often encountered. In this paper we provide an up-to-date overview of some of the case studies that have used IS technology for soil science applications. Besides a brief discussion on the advantages and disadvantages of IS for studying soils, the following cases are comprehensively discussed: soil degradation (salinity, erosion, and deposition), soil mapping and classification, soil genesis and formation, soil contamination, soil water content, and soil swelling. We review these case studies and suggest that the IS data be provided to the end-users as real reflectance and not as raw data and with better signal-to-noise ratios than presently exist. This is because converting the raw data into reflectance is a complicated stage that requires experience, knowledge, and specific infrastructures not available to many users, whereas quantitative spectral models require good quality data. These limitations serve as a barrier that impedes potential end-users, inhibiting researchers from trying this technique for their needs. The paper ends with a general call to the soil science audience to extend the utilization of the IS technique, and it provides some ideas on how to propel this technology forward to enable its widespread adoption in order to achieve a breakthrough in the field of soil science and remote sensing.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0034-4257</s0>
</fA01>
<fA02 i1="01"><s0>RSEEA7</s0>
</fA02>
<fA03 i2="1"><s0>Remote sens. environ.</s0>
</fA03>
<fA05><s2>113</s2>
</fA05>
<fA06><s3>SUP1</s3>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Using Imaging Spectroscopy to study soil properties</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG"><s1>Imaging Spectroscopy</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>BEN-DOR (E.)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>CHABRILLAT (S.)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>DEMATTE (J. A. M.)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>TAYLOR (G. R.)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>HILL (J.)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>WHITING (M. L.)</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>SOMMER (S.)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>USTIN (Susan L.)</s1>
<s9>limin.</s9>
</fA12>
<fA12 i1="02" i2="1"><s1>SCHAEPMAN (Michael E.)</s1>
<s9>limin.</s9>
</fA12>
<fA14 i1="01"><s1>Deparhnent of Geography and Human Environment, Tel Aviv University</s1>
<s3>ISR</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>GeoForchungsZentrum(GFZ) Potsdam, Section 1.4: Remote Sensing</s1>
<s2>Potsdam</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Department of Soil Science, São Paulo University, ESALQ</s1>
<s2>Piracicaba</s2>
<s3>BRA</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>School of Biological, Earth and Environmental Science, University of New South Wales</s1>
<s2>Sydney</s2>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Remote Sensing Department, Faculty of Geography/Geosciences, Trier University</s1>
<s3>DEU</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="06"><s1>Department of Land Air Water Resources, University of California</s1>
<s2>Davis, California</s2>
<s3>USA</s3>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="07"><s1>European Commission, DG Joint Research Centre, Institute for Environment and Sustainability</s1>
<s2>Ispra</s2>
<s3>ITA</s3>
<sZ>7 aut.</sZ>
</fA14>
<fA15 i1="01"><s1>Department of Land, Air and Water Resources, University of California</s1>
<s2>Davis 95616</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</fA15>
<fA15 i1="02"><s1>Centre for Geo-Information, Wageningen University</s1>
<s2>6700AA Wageningen</s2>
<s3>NLD</s3>
<sZ>2 aut.</sZ>
</fA15>
<fA20><s2>S38-S55</s2>
</fA20>
<fA21><s1>2009</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>14287</s2>
<s5>354000172489990050</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2009 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>2 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>09-0440828</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Remote sensing of environment</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Imaging Spectroscopy (IS) is a promising tool for studying soil properties in large spatial domains. Going from point to image spectrometry is not only a journey from micro to macro scales, but also a long stage where problems such as dealing with data having a low signal-to-noise level, contamination of the atmosphere, large data sets, the BRDF effect and more are often encountered. In this paper we provide an up-to-date overview of some of the case studies that have used IS technology for soil science applications. Besides a brief discussion on the advantages and disadvantages of IS for studying soils, the following cases are comprehensively discussed: soil degradation (salinity, erosion, and deposition), soil mapping and classification, soil genesis and formation, soil contamination, soil water content, and soil swelling. We review these case studies and suggest that the IS data be provided to the end-users as real reflectance and not as raw data and with better signal-to-noise ratios than presently exist. This is because converting the raw data into reflectance is a complicated stage that requires experience, knowledge, and specific infrastructures not available to many users, whereas quantitative spectral models require good quality data. These limitations serve as a barrier that impedes potential end-users, inhibiting researchers from trying this technique for their needs. The paper ends with a general call to the soil science audience to extend the utilization of the IS technique, and it provides some ideas on how to propel this technology forward to enable its widespread adoption in order to achieve a breakthrough in the field of soil science and remote sensing.</s0>
</fC01>
<fC02 i1="01" i2="2"><s0>001E01P03</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>001E01M04</s0>
</fC02>
<fC02 i1="03" i2="2"><s0>225B04</s0>
</fC02>
<fC02 i1="04" i2="2"><s0>226C03</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE"><s0>Utilisation</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>utilization</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Capteur imagerie hyperspectral</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Hyperspectral imaging sensor</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Sensor hiperespectral de formación de imágenes</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Caractéristique sol</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Property of soil</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Característica suelo</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE"><s0>Imagerie</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG"><s0>imagery</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA"><s0>Imaginería</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Spectrométrie</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>spectroscopy</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Espectrometría</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE"><s0>Signal</s0>
<s5>08</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG"><s0>signals</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE"><s0>Bruit</s0>
<s5>09</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG"><s0>noise</s0>
<s5>09</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>Contamination</s0>
<s5>10</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>contamination</s0>
<s5>10</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA"><s0>Contaminación</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Atmosphère</s0>
<s5>11</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>atmosphere</s0>
<s5>11</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Atmósfera</s0>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE"><s0>Technologie</s0>
<s5>14</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>technology</s0>
<s5>14</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA"><s0>Tecnología</s0>
<s5>14</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Pédologie</s0>
<s5>15</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG"><s0>soil sciences</s0>
<s5>15</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA"><s0>Pedología</s0>
<s5>15</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Science du sol</s0>
<s5>16</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Soil science</s0>
<s5>16</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Ciencia del suelo</s0>
<s5>16</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Détérioration du sol</s0>
<s5>19</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Soil deterioration</s0>
<s5>19</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Deterioro del suelo</s0>
<s5>19</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Salinité</s0>
<s5>20</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>salinity</s0>
<s5>20</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA"><s0>Salinidad</s0>
<s5>20</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE"><s0>Erosion sol</s0>
<s5>21</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>soil erosion</s0>
<s5>21</s5>
</fC03>
<fC03 i1="15" i2="2" l="SPA"><s0>Erosión suelo</s0>
<s5>21</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Dépôt</s0>
<s5>22</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>deposition</s0>
<s5>22</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Depósito</s0>
<s5>22</s5>
</fC03>
<fC03 i1="17" i2="2" l="FRE"><s0>Carte pédologique</s0>
<s5>23</s5>
</fC03>
<fC03 i1="17" i2="2" l="ENG"><s0>soils maps</s0>
<s5>23</s5>
</fC03>
<fC03 i1="17" i2="2" l="SPA"><s0>Mapa suelo</s0>
<s5>23</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>Cartographie</s0>
<s5>24</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>cartography</s0>
<s5>24</s5>
</fC03>
<fC03 i1="18" i2="2" l="SPA"><s0>Cartografía</s0>
<s5>24</s5>
</fC03>
<fC03 i1="19" i2="2" l="FRE"><s0>Classification</s0>
<s5>25</s5>
</fC03>
<fC03 i1="19" i2="2" l="ENG"><s0>classification</s0>
<s5>25</s5>
</fC03>
<fC03 i1="19" i2="2" l="SPA"><s0>Clasificación</s0>
<s5>25</s5>
</fC03>
<fC03 i1="20" i2="2" l="FRE"><s0>Télédétection</s0>
<s5>61</s5>
</fC03>
<fC03 i1="20" i2="2" l="ENG"><s0>remote sensing</s0>
<s5>61</s5>
</fC03>
<fC03 i1="20" i2="2" l="SPA"><s0>Detección a distancia</s0>
<s5>61</s5>
</fC03>
<fC03 i1="21" i2="2" l="FRE"><s0>Pouvoir réflecteur</s0>
<s5>62</s5>
</fC03>
<fC03 i1="21" i2="2" l="ENG"><s0>reflectance</s0>
<s5>62</s5>
</fC03>
<fC03 i1="21" i2="2" l="SPA"><s0>Poder reflector</s0>
<s5>62</s5>
</fC03>
<fN21><s1>320</s1>
</fN21>
<fN44 i1="01"><s1>PSI</s1>
</fN44>
<fN82><s1>PSI</s1>
</fN82>
</pA>
</standard>
</inist>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/PascalFrancis/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000765 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000765 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Rhénanie |area= UnivTrevesV1 |flux= PascalFrancis |étape= Curation |type= RBID |clé= Pascal:09-0440828 |texte= Using Imaging Spectroscopy to study soil properties }}
This area was generated with Dilib version V0.6.31. |