Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration
Identifieur interne : 003F64 ( Main/Exploration ); précédent : 003F63; suivant : 003F65Sensitivity 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.
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.
Affiliations:
- Australie, France
- Midi-Pyrénées, Occitanie (région administrative), Victoria (État)
- Melbourne, Toulouse
- Université de Melbourne
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Le document en format XML
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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><wicri:noRegion>Department of Civil Engineering, Monash University</wicri:noRegion></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><wicri:noRegion>Department of Civil Engineering, Monash University</wicri:noRegion></affiliation></author><author><name sortKey="Dongryeol Ryu" sort="Dongryeol Ryu" uniqKey="Dongryeol Ryu" last="Dongryeol Ryu">DONGRYEOL RYU</name><affiliation wicri:level="4"><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><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName><orgName type="university">Université de Melbourne</orgName></affiliation></author><author><name sortKey="Kerr, Yann" sort="Kerr, Yann" uniqKey="Kerr Y" first="Yann" last="Kerr">Yann Kerr</name><affiliation wicri:level="3"><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><placeName><region type="region">Occitanie (région administrative)</region><region type="old region">Midi-Pyrénées</region><settlement type="city">Toulouse</settlement></placeName></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><idno type="wicri:Area/PascalFrancis/Checkpoint">000096</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000096</idno><idno type="wicri:doubleKey">0034-4257:2014:Peischl S:sensitivity:of:multi</idno><idno type="wicri:Area/Main/Merge">004020</idno><idno type="wicri:Area/Main/Curation">003F64</idno><idno type="wicri:Area/Main/Exploration">003F64</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><wicri:noRegion>Department of Civil Engineering, Monash University</wicri:noRegion></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><wicri:noRegion>Department of Civil Engineering, Monash University</wicri:noRegion></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><wicri:noRegion>Department of Civil Engineering, Monash University</wicri:noRegion></affiliation></author><author><name sortKey="Dongryeol Ryu" sort="Dongryeol Ryu" uniqKey="Dongryeol Ryu" last="Dongryeol Ryu">DONGRYEOL RYU</name><affiliation wicri:level="4"><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><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName><orgName type="university">Université de Melbourne</orgName></affiliation></author><author><name sortKey="Kerr, Yann" sort="Kerr, Yann" uniqKey="Kerr Y" first="Yann" last="Kerr">Yann Kerr</name><affiliation wicri:level="3"><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><placeName><region type="region">Occitanie (région administrative)</region><region type="old region">Midi-Pyrénées</region><settlement type="city">Toulouse</settlement></placeName></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><affiliations><list><country><li>Australie</li><li>France</li></country><region><li>Midi-Pyrénées</li><li>Occitanie (région administrative)</li><li>Victoria (État)</li></region><settlement><li>Melbourne</li><li>Toulouse</li></settlement><orgName><li>Université de Melbourne</li></orgName></list><tree><country name="Australie"><noRegion><name sortKey="Peischl, Sandy" sort="Peischl, Sandy" uniqKey="Peischl S" first="Sandy" last="Peischl">Sandy Peischl</name></noRegion><name sortKey="Dongryeol Ryu" sort="Dongryeol Ryu" uniqKey="Dongryeol Ryu" last="Dongryeol Ryu">DONGRYEOL RYU</name><name sortKey="Nan Ye" sort="Nan Ye" uniqKey="Nan Ye" last="Nan Ye">NAN YE</name><name sortKey="Walker, Jeffrey P" sort="Walker, Jeffrey P" uniqKey="Walker J" first="Jeffrey P." last="Walker">Jeffrey P. Walker</name></country><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Kerr, Yann" sort="Kerr, Yann" uniqKey="Kerr Y" first="Yann" last="Kerr">Yann Kerr</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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