AustralieFrV1, PascalFrancis, Curation, bibRecord, 005A22

Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration

Identifieur interne : 005A22 ( PascalFrancis/Curation ); précédent : 005A21; suivant : 005A23

Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration

Auteurs : Sandy Peischl [Australie] ; Jeffrey P. Walker [Australie] ; NAN YE [Australie] ; DONGRYEOL RYU [Australie] ; Yann Kerr [France]

Source :

Remote sensing of environment [ 0034-4257 ] ; 2014.

RBID : Pascal:14-0131784

Descripteurs français

Pascal (Inist)
- Sensibilité, Paramètre, Humidité sol, Angle incidence, Configuration, Bande L, Mesure angle, Océan, Milieu marin, Salinité, Algorithme, Végétation, Teneur eau, Rugosité, Température sol, Modèle, Modélisation, Température brillance, Simulation, Effet température, Etude sur terrain, Essai en champ, Australie.
Wicri :
- geographic : Australie.
- topic : Océan, Milieu marin, Simulation.

English descriptors

KwdEn :
- Angular measurement, Australia, Configuration, Field experiment, Field study, L band, Modeling, Parameter, Sensitivity, Soil temperature, Temperature effect, algorithms, brightness temperature, incidence angle, marine environment, models, ocean, roughness, salinity, simulation, soil moisture, vegetation, water content.

Abstract

This paper focuses on the sensitivity of L-band multi-parameter retrievals across the range of angular measurements available from the SMOS (Soil Moisture and Ocean Salinity) mission. The SMOS core algorithm was used to evaluate two-parameter retrieval scenarios including soil moisture and one of either i) vegetation water content, ii) surface roughness, iii) vegetation temperature, or iv) surface soil temperature. For all pairs a range of parameter value combinations were compiled to run the model in forward mode. Subsequently, the resulting angular brightness temperature simulations with two unknown parameters were compared against the brightness temperature response derived from reference simulations using data from the National Airborne Field Experiment 2005 (NAFE'05) in Australia. This paper showed that the two-parameter retrieval accuracy of soil moisture is strongly affected by the surface moisture conditions, the polarization of the brightness temperature data, and the choice of the secondary ancillary parameter to be retrieved. The synthetic analysis demonstrated a tendency for better retrievals from dual-polarized data at large incidence angles (40-50°). Validation with airborne brightness temperature observations at L-band did not demonstrate such a strong angular dependency, although it confirmed that the simultaneous retrieval of soil moisture and vegetation properties is not preferable as opposed to i) soil moisture and surface roughness or ii) soil moisture and surface soil temperature, especially under dry moisture conditions.

A01	`01`	`1`		`@0 0034-4257`
A02	`01`			`@0 RSEEA7`
A03		`1`		`@0 Remote sens. environ.`
A05				`@2 143`
A08	`01`	`1`	`ENG`	`@1 Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration`
A11	`01`	`1`		`@1 PEISCHL (Sandy)`
A11	`02`	`1`		`@1 WALKER (Jeffrey P.)`
A11	`03`	`1`		`@1 NAN YE`
A11	`04`	`1`		`@1 DONGRYEOL RYU`
A11	`05`	`1`		`@1 KERR (Yann)`
A14	`01`			`@1 Department of Civil Engineering, Monash University @3 AUS @Z 1 aut. @Z 2 aut. @Z 3 aut.`
A14	`02`			`@1 Department of Infrastructure Engineering, The University of Melbourne @3 AUS @Z 4 aut.`
A14	`03`			`@1 Centre d'Etudes Spatiales de la Biosphere (CESBIO) @2 Toulouse @3 FRA @Z 5 aut.`
A20				`@1 64-72`
A21				`@1 2014`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 14287 @5 354000506101390060`
A44				`@0 0000 @1 © 2014 INIST-CNRS. All rights reserved.`
A45				`@0 3/4 p.`
A47	`01`	`1`		`@0 14-0131784`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Remote sensing of environment`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 This paper focuses on the sensitivity of L-band multi-parameter retrievals across the range of angular measurements available from the SMOS (Soil Moisture and Ocean Salinity) mission. The SMOS core algorithm was used to evaluate two-parameter retrieval scenarios including soil moisture and one of either i) vegetation water content, ii) surface roughness, iii) vegetation temperature, or iv) surface soil temperature. For all pairs a range of parameter value combinations were compiled to run the model in forward mode. Subsequently, the resulting angular brightness temperature simulations with two unknown parameters were compared against the brightness temperature response derived from reference simulations using data from the National Airborne Field Experiment 2005 (NAFE'05) in Australia. This paper showed that the two-parameter retrieval accuracy of soil moisture is strongly affected by the surface moisture conditions, the polarization of the brightness temperature data, and the choice of the secondary ancillary parameter to be retrieved. The synthetic analysis demonstrated a tendency for better retrievals from dual-polarized data at large incidence angles (40-50°). Validation with airborne brightness temperature observations at L-band did not demonstrate such a strong angular dependency, although it confirmed that the simultaneous retrieval of soil moisture and vegetation properties is not preferable as opposed to i) soil moisture and surface roughness or ii) soil moisture and surface soil temperature, especially under dry moisture conditions.
C02	`01`	`X`		`@0 002A14A03`
C02	`02`	`2`		`@0 001E01M04`
C02	`03`	`2`		`@0 225B04`
C03	`01`	`X`	`FRE`	`@0 Sensibilité @5 01`
C03	`01`	`X`	`ENG`	`@0 Sensitivity @5 01`
C03	`01`	`X`	`SPA`	`@0 Sensibilidad @5 01`
C03	`02`	`X`	`FRE`	`@0 Paramètre @5 02`
C03	`02`	`X`	`ENG`	`@0 Parameter @5 02`
C03	`02`	`X`	`SPA`	`@0 Parámetro @5 02`
C03	`03`	`2`	`FRE`	`@0 Humidité sol @5 03`
C03	`03`	`2`	`ENG`	`@0 soil moisture @5 03`
C03	`03`	`2`	`SPA`	`@0 Humedad suelo @5 03`
C03	`04`	`2`	`FRE`	`@0 Angle incidence @5 04`
C03	`04`	`2`	`ENG`	`@0 incidence angle @5 04`
C03	`05`	`X`	`FRE`	`@0 Configuration @5 05`
C03	`05`	`X`	`ENG`	`@0 Configuration @5 05`
C03	`05`	`X`	`SPA`	`@0 Configuración @5 05`
C03	`06`	`X`	`FRE`	`@0 Bande L @5 06`
C03	`06`	`X`	`ENG`	`@0 L band @5 06`
C03	`06`	`X`	`SPA`	`@0 Banda L @5 06`
C03	`07`	`X`	`FRE`	`@0 Mesure angle @5 07`
C03	`07`	`X`	`ENG`	`@0 Angular measurement @5 07`
C03	`07`	`X`	`SPA`	`@0 Medida ángulo @5 07`
C03	`08`	`2`	`FRE`	`@0 Océan @5 08`
C03	`08`	`2`	`ENG`	`@0 ocean @5 08`
C03	`09`	`2`	`FRE`	`@0 Milieu marin @5 09`
C03	`09`	`2`	`ENG`	`@0 marine environment @5 09`
C03	`09`	`2`	`SPA`	`@0 Medio marino @5 09`
C03	`10`	`2`	`FRE`	`@0 Salinité @5 10`
C03	`10`	`2`	`ENG`	`@0 salinity @5 10`
C03	`10`	`2`	`SPA`	`@0 Salinidad @5 10`
C03	`11`	`2`	`FRE`	`@0 Algorithme @5 12`
C03	`11`	`2`	`ENG`	`@0 algorithms @5 12`
C03	`11`	`2`	`SPA`	`@0 Algoritmo @5 12`
C03	`12`	`2`	`FRE`	`@0 Végétation @5 13`
C03	`12`	`2`	`ENG`	`@0 vegetation @5 13`
C03	`12`	`2`	`SPA`	`@0 Vegetación @5 13`
C03	`13`	`2`	`FRE`	`@0 Teneur eau @5 14`
C03	`13`	`2`	`ENG`	`@0 water content @5 14`
C03	`13`	`2`	`SPA`	`@0 Contenido en agua @5 14`
C03	`14`	`2`	`FRE`	`@0 Rugosité @5 15`
C03	`14`	`2`	`ENG`	`@0 roughness @5 15`
C03	`14`	`2`	`SPA`	`@0 Rugosidad @5 15`
C03	`15`	`X`	`FRE`	`@0 Température sol @5 16`
C03	`15`	`X`	`ENG`	`@0 Soil temperature @5 16`
C03	`15`	`X`	`SPA`	`@0 Temperatura suelo @5 16`
C03	`16`	`2`	`FRE`	`@0 Modèle @5 17`
C03	`16`	`2`	`ENG`	`@0 models @5 17`
C03	`16`	`2`	`SPA`	`@0 Modelo @5 17`
C03	`17`	`X`	`FRE`	`@0 Modélisation @5 18`
C03	`17`	`X`	`ENG`	`@0 Modeling @5 18`
C03	`17`	`X`	`SPA`	`@0 Modelización @5 18`
C03	`18`	`2`	`FRE`	`@0 Température brillance @5 19`
C03	`18`	`2`	`ENG`	`@0 brightness temperature @5 19`
C03	`19`	`2`	`FRE`	`@0 Simulation @5 20`
C03	`19`	`2`	`ENG`	`@0 simulation @5 20`
C03	`19`	`2`	`SPA`	`@0 Simulación @5 20`
C03	`20`	`X`	`FRE`	`@0 Effet température @5 21`
C03	`20`	`X`	`ENG`	`@0 Temperature effect @5 21`
C03	`20`	`X`	`SPA`	`@0 Efecto temperatura @5 21`
C03	`21`	`X`	`FRE`	`@0 Etude sur terrain @5 23`
C03	`21`	`X`	`ENG`	`@0 Field study @5 23`
C03	`21`	`X`	`SPA`	`@0 Estudio en campo @5 23`
C03	`22`	`X`	`FRE`	`@0 Essai en champ @5 24`
C03	`22`	`X`	`ENG`	`@0 Field experiment @5 24`
C03	`22`	`X`	`SPA`	`@0 Ensayo en campo @5 24`
C03	`23`	`2`	`FRE`	`@0 Australie @2 NG @5 61`
C03	`23`	`2`	`ENG`	`@0 Australia @2 NG @5 61`
C03	`23`	`2`	`SPA`	`@0 Australia @2 NG @5 61`
C07	`01`	`2`	`FRE`	`@0 Australasie`
C07	`01`	`2`	`ENG`	`@0 Australasia`
C07	`01`	`2`	`SPA`	`@0 Australasia`
N21				`@1 167`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000440

Links to Exploration step

Pascal:14-0131784

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration</title>
<author><name sortKey="Peischl, Sandy" sort="Peischl, Sandy" uniqKey="Peischl S" first="Sandy" last="Peischl">Sandy Peischl</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Walker, Jeffrey P" sort="Walker, Jeffrey P" uniqKey="Walker J" first="Jeffrey P." last="Walker">Jeffrey P. Walker</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Nan Ye" sort="Nan Ye" uniqKey="Nan Ye" last="Nan Ye">NAN YE</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Dongryeol Ryu" sort="Dongryeol Ryu" uniqKey="Dongryeol Ryu" last="Dongryeol Ryu">DONGRYEOL RYU</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Infrastructure Engineering, The University of Melbourne</s1>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Kerr, Yann" sort="Kerr, Yann" uniqKey="Kerr Y" first="Yann" last="Kerr">Yann Kerr</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Centre d'Etudes Spatiales de la Biosphere (CESBIO)</s1>
<s2>Toulouse</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">14-0131784</idno>
<date when="2014">2014</date>
<idno type="stanalyst">PASCAL 14-0131784 INIST</idno>
<idno type="RBID">Pascal:14-0131784</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000440</idno>
<idno type="wicri:Area/PascalFrancis/Curation">005A22</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration</title>
<author><name sortKey="Peischl, Sandy" sort="Peischl, Sandy" uniqKey="Peischl S" first="Sandy" last="Peischl">Sandy Peischl</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Walker, Jeffrey P" sort="Walker, Jeffrey P" uniqKey="Walker J" first="Jeffrey P." last="Walker">Jeffrey P. Walker</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Nan Ye" sort="Nan Ye" uniqKey="Nan Ye" last="Nan Ye">NAN YE</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Dongryeol Ryu" sort="Dongryeol Ryu" uniqKey="Dongryeol Ryu" last="Dongryeol Ryu">DONGRYEOL RYU</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Infrastructure Engineering, The University of Melbourne</s1>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
</author>
<author><name sortKey="Kerr, Yann" sort="Kerr, Yann" uniqKey="Kerr Y" first="Yann" last="Kerr">Yann Kerr</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Centre d'Etudes Spatiales de la Biosphere (CESBIO)</s1>
<s2>Toulouse</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>France</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="2014">2014</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>Angular measurement</term>
<term>Australia</term>
<term>Configuration</term>
<term>Field experiment</term>
<term>Field study</term>
<term>L band</term>
<term>Modeling</term>
<term>Parameter</term>
<term>Sensitivity</term>
<term>Soil temperature</term>
<term>Temperature effect</term>
<term>algorithms</term>
<term>brightness temperature</term>
<term>incidence angle</term>
<term>marine environment</term>
<term>models</term>
<term>ocean</term>
<term>roughness</term>
<term>salinity</term>
<term>simulation</term>
<term>soil moisture</term>
<term>vegetation</term>
<term>water content</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Sensibilité</term>
<term>Paramètre</term>
<term>Humidité sol</term>
<term>Angle incidence</term>
<term>Configuration</term>
<term>Bande L</term>
<term>Mesure angle</term>
<term>Océan</term>
<term>Milieu marin</term>
<term>Salinité</term>
<term>Algorithme</term>
<term>Végétation</term>
<term>Teneur eau</term>
<term>Rugosité</term>
<term>Température sol</term>
<term>Modèle</term>
<term>Modélisation</term>
<term>Température brillance</term>
<term>Simulation</term>
<term>Effet température</term>
<term>Etude sur terrain</term>
<term>Essai en champ</term>
<term>Australie</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Australie</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Océan</term>
<term>Milieu marin</term>
<term>Simulation</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">This paper focuses on the sensitivity of L-band multi-parameter retrievals across the range of angular measurements available from the SMOS (Soil Moisture and Ocean Salinity) mission. The SMOS core algorithm was used to evaluate two-parameter retrieval scenarios including soil moisture and one of either i) vegetation water content, ii) surface roughness, iii) vegetation temperature, or iv) surface soil temperature. For all pairs a range of parameter value combinations were compiled to run the model in forward mode. Subsequently, the resulting angular brightness temperature simulations with two unknown parameters were compared against the brightness temperature response derived from reference simulations using data from the National Airborne Field Experiment 2005 (NAFE'05) in Australia. This paper showed that the two-parameter retrieval accuracy of soil moisture is strongly affected by the surface moisture conditions, the polarization of the brightness temperature data, and the choice of the secondary ancillary parameter to be retrieved. The synthetic analysis demonstrated a tendency for better retrievals from dual-polarized data at large incidence angles (40-50°). Validation with airborne brightness temperature observations at L-band did not demonstrate such a strong angular dependency, although it confirmed that the simultaneous retrieval of soil moisture and vegetation properties is not preferable as opposed to i) soil moisture and surface roughness or ii) soil moisture and surface soil temperature, especially under dry moisture conditions.</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>143</s2>
</fA05>
<fA08 i1="01" i2="1" l="ENG"><s1>Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>PEISCHL (Sandy)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>WALKER (Jeffrey P.)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>NAN YE</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>DONGRYEOL RYU</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>KERR (Yann)</s1>
</fA11>
<fA14 i1="01"><s1>Department of Civil Engineering, Monash University</s1>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Department of Infrastructure Engineering, The University of Melbourne</s1>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Centre d'Etudes Spatiales de la Biosphere (CESBIO)</s1>
<s2>Toulouse</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA20><s1>64-72</s1>
</fA20>
<fA21><s1>2014</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>14287</s2>
<s5>354000506101390060</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2014 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>3/4 p.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>14-0131784</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>This paper focuses on the sensitivity of L-band multi-parameter retrievals across the range of angular measurements available from the SMOS (Soil Moisture and Ocean Salinity) mission. The SMOS core algorithm was used to evaluate two-parameter retrieval scenarios including soil moisture and one of either i) vegetation water content, ii) surface roughness, iii) vegetation temperature, or iv) surface soil temperature. For all pairs a range of parameter value combinations were compiled to run the model in forward mode. Subsequently, the resulting angular brightness temperature simulations with two unknown parameters were compared against the brightness temperature response derived from reference simulations using data from the National Airborne Field Experiment 2005 (NAFE'05) in Australia. This paper showed that the two-parameter retrieval accuracy of soil moisture is strongly affected by the surface moisture conditions, the polarization of the brightness temperature data, and the choice of the secondary ancillary parameter to be retrieved. The synthetic analysis demonstrated a tendency for better retrievals from dual-polarized data at large incidence angles (40-50°). Validation with airborne brightness temperature observations at L-band did not demonstrate such a strong angular dependency, although it confirmed that the simultaneous retrieval of soil moisture and vegetation properties is not preferable as opposed to i) soil moisture and surface roughness or ii) soil moisture and surface soil temperature, especially under dry moisture conditions.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002A14A03</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>001E01M04</s0>
</fC02>
<fC02 i1="03" i2="2"><s0>225B04</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Sensibilité</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Sensitivity</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Sensibilidad</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Paramètre</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Parameter</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Parámetro</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE"><s0>Humidité sol</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG"><s0>soil moisture</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="SPA"><s0>Humedad suelo</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE"><s0>Angle incidence</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG"><s0>incidence angle</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Configuration</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Configuration</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Configuración</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Bande L</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>L band</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Banda L</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Mesure angle</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Angular measurement</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Medida ángulo</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>Océan</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>ocean</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Milieu marin</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>marine environment</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Medio marino</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE"><s0>Salinité</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>salinity</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA"><s0>Salinidad</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Algorithme</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG"><s0>algorithms</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA"><s0>Algoritmo</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Végétation</s0>
<s5>13</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>vegetation</s0>
<s5>13</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA"><s0>Vegetación</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE"><s0>Teneur eau</s0>
<s5>14</s5>
</fC03>
<fC03 i1="13" i2="2" l="ENG"><s0>water content</s0>
<s5>14</s5>
</fC03>
<fC03 i1="13" i2="2" l="SPA"><s0>Contenido en agua</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Rugosité</s0>
<s5>15</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>roughness</s0>
<s5>15</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA"><s0>Rugosidad</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Température sol</s0>
<s5>16</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Soil temperature</s0>
<s5>16</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Temperatura suelo</s0>
<s5>16</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Modèle</s0>
<s5>17</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>models</s0>
<s5>17</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Modelo</s0>
<s5>17</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>18</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG"><s0>Modeling</s0>
<s5>18</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA"><s0>Modelización</s0>
<s5>18</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>Température brillance</s0>
<s5>19</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>brightness temperature</s0>
<s5>19</s5>
</fC03>
<fC03 i1="19" i2="2" l="FRE"><s0>Simulation</s0>
<s5>20</s5>
</fC03>
<fC03 i1="19" i2="2" l="ENG"><s0>simulation</s0>
<s5>20</s5>
</fC03>
<fC03 i1="19" i2="2" l="SPA"><s0>Simulación</s0>
<s5>20</s5>
</fC03>
<fC03 i1="20" i2="X" l="FRE"><s0>Effet température</s0>
<s5>21</s5>
</fC03>
<fC03 i1="20" i2="X" l="ENG"><s0>Temperature effect</s0>
<s5>21</s5>
</fC03>
<fC03 i1="20" i2="X" l="SPA"><s0>Efecto temperatura</s0>
<s5>21</s5>
</fC03>
<fC03 i1="21" i2="X" l="FRE"><s0>Etude sur terrain</s0>
<s5>23</s5>
</fC03>
<fC03 i1="21" i2="X" l="ENG"><s0>Field study</s0>
<s5>23</s5>
</fC03>
<fC03 i1="21" i2="X" l="SPA"><s0>Estudio en campo</s0>
<s5>23</s5>
</fC03>
<fC03 i1="22" i2="X" l="FRE"><s0>Essai en champ</s0>
<s5>24</s5>
</fC03>
<fC03 i1="22" i2="X" l="ENG"><s0>Field experiment</s0>
<s5>24</s5>
</fC03>
<fC03 i1="22" i2="X" l="SPA"><s0>Ensayo en campo</s0>
<s5>24</s5>
</fC03>
<fC03 i1="23" i2="2" l="FRE"><s0>Australie</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="23" i2="2" l="ENG"><s0>Australia</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="23" i2="2" l="SPA"><s0>Australia</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>Australasie</s0>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>Australasia</s0>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Australasia</s0>
</fC07>
<fN21><s1>167</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/PascalFrancis/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 005A22 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 005A22 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:14-0131784
   |texte=   Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration
}}

This area was generated with Dilib version V0.6.33.
Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024

	Serveur d'exploration sur les relations entre la France et l'Australie
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les relations entre la France et l'Australie

Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration

Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri