A Parameterized Multiangular Microwave Emission Model of L-, C-, and X-Bands for Corn Considering Multiple-Scattering Effects
The matrix doubling (MD) model is a numerical solution to the radiative transfer equation. It can achieve better accuracy in simulating microwave signals from vegetated terrain by considering multiple-scattering effects. However, it is difficult to apply the MD model to retrieving work due to its hi...
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Veröffentlicht in: | IEEE geoscience and remote sensing letters 2018-08, Vol.15 (8), p.1249-1253 |
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description | The matrix doubling (MD) model is a numerical solution to the radiative transfer equation. It can achieve better accuracy in simulating microwave signals from vegetated terrain by considering multiple-scattering effects. However, it is difficult to apply the MD model to retrieving work due to its high complexity. This letter presents a case study performed on corn to demonstrate a multiangular (5°-65°), multiband (1.4/6.925/10.65 GHz) microwave emission model considering multiple-scattering effects by parameterizing the MD model. The simulated emissivity differences between the theoretical model and parameterized model are small. The mean absolute percent errors are all less than 1%, and the root mean square errors (RMSEs) are all within the range of 10^{-3} . Validations using airborne polarimetric L-band microwave radiometer data and ground-based trunk-mounted multifrequency microwave radiometer data indicate that the parameterized model achieves good accuracy with overall RMSEs within 8K at all three bands. |
doi_str_mv | 10.1109/LGRS.2018.2829222 |
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It can achieve better accuracy in simulating microwave signals from vegetated terrain by considering multiple-scattering effects. However, it is difficult to apply the MD model to retrieving work due to its high complexity. This letter presents a case study performed on corn to demonstrate a multiangular (5°-65°), multiband (1.4/6.925/10.65 GHz) microwave emission model considering multiple-scattering effects by parameterizing the MD model. The simulated emissivity differences between the theoretical model and parameterized model are small. The mean absolute percent errors are all less than 1%, and the root mean square errors (RMSEs) are all within the range of <inline-formula> <tex-math notation="LaTeX">10^{-3} </tex-math></inline-formula>. Validations using airborne polarimetric L-band microwave radiometer data and ground-based trunk-mounted multifrequency microwave radiometer data indicate that the parameterized model achieves good accuracy with overall RMSEs within 8K at all three bands.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2018.2829222</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Accuracy ; Biological system modeling ; Case studies ; Computer simulation ; Corn ; Data models ; Emissivity ; Errors ; Mathematical model ; Mathematical models ; matrix-doubling ; Microwave emission ; Microwave radiometers ; Microwave radiometry ; Model accuracy ; Multiple scatter ; multiple-scattering ; Numerical models ; Parameterization ; Polarimetry ; Radiative transfer ; Radiometers ; Scattering ; Vegetation mapping</subject><ispartof>IEEE geoscience and remote sensing letters, 2018-08, Vol.15 (8), p.1249-1253</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-2e55ed0335334b508d4f3279481c90994792b8374deb3391b7b8e2097ea1ca4c3</citedby><cites>FETCH-LOGICAL-c293t-2e55ed0335334b508d4f3279481c90994792b8374deb3391b7b8e2097ea1ca4c3</cites><orcidid>0000-0002-6163-2912 ; 0000-0001-8295-8973 ; 0000-0003-1960-6240</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8360022$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8360022$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chai, Linna</creatorcontrib><creatorcontrib>Zhang, Qian</creatorcontrib><creatorcontrib>Shi, Jiancheng</creatorcontrib><creatorcontrib>Liu, Shaomin</creatorcontrib><creatorcontrib>Zhao, Shaojie</creatorcontrib><creatorcontrib>Jiang, Haiying</creatorcontrib><title>A Parameterized Multiangular Microwave Emission Model of L-, C-, and X-Bands for Corn Considering Multiple-Scattering Effects</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>The matrix doubling (MD) model is a numerical solution to the radiative transfer equation. It can achieve better accuracy in simulating microwave signals from vegetated terrain by considering multiple-scattering effects. However, it is difficult to apply the MD model to retrieving work due to its high complexity. This letter presents a case study performed on corn to demonstrate a multiangular (5°-65°), multiband (1.4/6.925/10.65 GHz) microwave emission model considering multiple-scattering effects by parameterizing the MD model. The simulated emissivity differences between the theoretical model and parameterized model are small. The mean absolute percent errors are all less than 1%, and the root mean square errors (RMSEs) are all within the range of <inline-formula> <tex-math notation="LaTeX">10^{-3} </tex-math></inline-formula>. Validations using airborne polarimetric L-band microwave radiometer data and ground-based trunk-mounted multifrequency microwave radiometer data indicate that the parameterized model achieves good accuracy with overall RMSEs within 8K at all three bands.</description><subject>Accuracy</subject><subject>Biological system modeling</subject><subject>Case studies</subject><subject>Computer simulation</subject><subject>Corn</subject><subject>Data models</subject><subject>Emissivity</subject><subject>Errors</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>matrix-doubling</subject><subject>Microwave emission</subject><subject>Microwave radiometers</subject><subject>Microwave radiometry</subject><subject>Model accuracy</subject><subject>Multiple scatter</subject><subject>multiple-scattering</subject><subject>Numerical models</subject><subject>Parameterization</subject><subject>Polarimetry</subject><subject>Radiative transfer</subject><subject>Radiometers</subject><subject>Scattering</subject><subject>Vegetation mapping</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_gHhZ8OrW_TS7x1pqFVIUq9Bb2CSTkpImdTdRFPzvbkjxMB8MM-_LPAhdMjphjJrbePG6mnDK9IRrbjjnR2jElNKEqogd971URBm9PkVn3m8p5VLraIR-p_jFOruDFlz5AzledlVb2nrTVdbhZZm55st-Ap7vSu_LpsbLJocKNwWOyQ2ehbB1jtfkPhSPi8bhWePqkGpf5kGy3gyK-wrIKrNtO8zmRQFZ68_RSWErDxeHOkbvD_O32SOJnxdPs2lMMm5ESzgoBTkVQgkhU0V1LgvBIyM1yww1RkaGp1pEModUCMPSKNXAqYnAsszKTIzR9aC7d81HB75Ntk3n6mCZcBoZxiUPRmPEhq3wtPcOimTvyp113wmjSU856SknPeXkQDncXA03JQD872txFwhz8QdluHep</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Chai, Linna</creator><creator>Zhang, Qian</creator><creator>Shi, Jiancheng</creator><creator>Liu, Shaomin</creator><creator>Zhao, Shaojie</creator><creator>Jiang, Haiying</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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It can achieve better accuracy in simulating microwave signals from vegetated terrain by considering multiple-scattering effects. However, it is difficult to apply the MD model to retrieving work due to its high complexity. This letter presents a case study performed on corn to demonstrate a multiangular (5°-65°), multiband (1.4/6.925/10.65 GHz) microwave emission model considering multiple-scattering effects by parameterizing the MD model. The simulated emissivity differences between the theoretical model and parameterized model are small. The mean absolute percent errors are all less than 1%, and the root mean square errors (RMSEs) are all within the range of <inline-formula> <tex-math notation="LaTeX">10^{-3} </tex-math></inline-formula>. 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subjects | Accuracy Biological system modeling Case studies Computer simulation Corn Data models Emissivity Errors Mathematical model Mathematical models matrix-doubling Microwave emission Microwave radiometers Microwave radiometry Model accuracy Multiple scatter multiple-scattering Numerical models Parameterization Polarimetry Radiative transfer Radiometers Scattering Vegetation mapping |
title | A Parameterized Multiangular Microwave Emission Model of L-, C-, and X-Bands for Corn Considering Multiple-Scattering Effects |
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