Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio
This paper presents a new method to retrieve soil moisture and roughness from ERS-1. Wind scatterometer (WSC) data measured over the HAPEX-Sahel area (semiarid environment). The retrieval algorithm makes full use of the multiangular acquisitions and the high temporal repetition of the measured backs...
Gespeichert in:
| Veröffentlicht in: | Remote sensing of environment 2001-03, Vol.75 (3), p.432-445 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 445 |
|---|---|
| container_issue | 3 |
| container_start_page | 432 |
| container_title | Remote sensing of environment |
| container_volume | 75 |
| creator | Magagi, R.D Kerr, Y.H |
| description | This paper presents a new method to retrieve soil moisture and roughness from ERS-1. Wind scatterometer (WSC) data measured over the HAPEX-Sahel area (semiarid environment). The retrieval algorithm makes full use of the multiangular acquisitions and the high temporal repetition of the measured backscattering coefficients. The vegetation contribution to the signal is taken into account through a first-order radiative transfer model. The soil moisture and roughness are subsequently retrieved, throughout the rainy season, using the copolarization ratio as expressed by Oh et al. [IEEE Transactions on Geoscience and Remote Sensing GE-30 (1992) 370–381]. The paper describes the data and the approach used, together with the results gained. A good sensitivity of the backscattering coefficient to soil moisture is obtained. The results are compared with data collected during the HAPEX-Sahel campaign. |
| doi_str_mv | 10.1016/S0034-4257(00)00185-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_26961860</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425700001851</els_id><sourcerecordid>17920070</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-58e75d56d2563ffd2497931f8f4eff4bdd620b38756478f5289a5b5b356656343</originalsourceid><addsrcrecordid>eNqFkUtrHDEQhEWIIRvbPyEgCJjkMLY0o9ecTDB-gcGHxGehlVq2wsxoo54x2L8-2l3jq0_dNF9VQxUh3zg75Yyrs9-MdaIRrdQ_GPvJGDey4Z_IihvdN0wz8Zms3pEv5Cvi3wpJo_mKbC5xTqOb0_RIcSnReaCY00DHnHBeClA3hf2l5OXxaQJEmp-hUIQxuZICdQUc0ljySOcnoAsCzXG3-rzJQ2Veq3-eaNmOI3IQ3YBw_DYPycPV5Z-Lm-bu_vr24tdd47tez400oGWQKrRSdTGGVvS673g0UUCMYh2Catm6M1oqoU2UremdXMt1J5WqCtEdkpO976bkfwvgbMeEHobBTZAXtK3qFTeKfQhy3besplhBuQd9yYgFot2UGl15sZzZbRF2V4TdpmwZs7siLK-6728PHHo3xOImn_Bd3EvBhKrU-Z6CGspzgmLRJ5g8hFTAzzbk9MGf_5L6nSQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>17920070</pqid></control><display><type>article</type><title>Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio</title><source>Elsevier ScienceDirect Journals</source><creator>Magagi, R.D ; Kerr, Y.H</creator><creatorcontrib>Magagi, R.D ; Kerr, Y.H</creatorcontrib><description>This paper presents a new method to retrieve soil moisture and roughness from ERS-1. Wind scatterometer (WSC) data measured over the HAPEX-Sahel area (semiarid environment). The retrieval algorithm makes full use of the multiangular acquisitions and the high temporal repetition of the measured backscattering coefficients. The vegetation contribution to the signal is taken into account through a first-order radiative transfer model. The soil moisture and roughness are subsequently retrieved, throughout the rainy season, using the copolarization ratio as expressed by Oh et al. [IEEE Transactions on Geoscience and Remote Sensing GE-30 (1992) 370–381]. The paper describes the data and the approach used, together with the results gained. A good sensitivity of the backscattering coefficient to soil moisture is obtained. The results are compared with data collected during the HAPEX-Sahel campaign.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/S0034-4257(00)00185-1</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Applied geophysics ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Internal geophysics ; Soils ; Surficial geology</subject><ispartof>Remote sensing of environment, 2001-03, Vol.75 (3), p.432-445</ispartof><rights>2001 Elsevier Science Inc.</rights><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-58e75d56d2563ffd2497931f8f4eff4bdd620b38756478f5289a5b5b356656343</citedby><cites>FETCH-LOGICAL-c397t-58e75d56d2563ffd2497931f8f4eff4bdd620b38756478f5289a5b5b356656343</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425700001851$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=954046$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Magagi, R.D</creatorcontrib><creatorcontrib>Kerr, Y.H</creatorcontrib><title>Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio</title><title>Remote sensing of environment</title><description>This paper presents a new method to retrieve soil moisture and roughness from ERS-1. Wind scatterometer (WSC) data measured over the HAPEX-Sahel area (semiarid environment). The retrieval algorithm makes full use of the multiangular acquisitions and the high temporal repetition of the measured backscattering coefficients. The vegetation contribution to the signal is taken into account through a first-order radiative transfer model. The soil moisture and roughness are subsequently retrieved, throughout the rainy season, using the copolarization ratio as expressed by Oh et al. [IEEE Transactions on Geoscience and Remote Sensing GE-30 (1992) 370–381]. The paper describes the data and the approach used, together with the results gained. A good sensitivity of the backscattering coefficient to soil moisture is obtained. The results are compared with data collected during the HAPEX-Sahel campaign.</description><subject>Applied geophysics</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Internal geophysics</subject><subject>Soils</subject><subject>Surficial geology</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqFkUtrHDEQhEWIIRvbPyEgCJjkMLY0o9ecTDB-gcGHxGehlVq2wsxoo54x2L8-2l3jq0_dNF9VQxUh3zg75Yyrs9-MdaIRrdQ_GPvJGDey4Z_IihvdN0wz8Zms3pEv5Cvi3wpJo_mKbC5xTqOb0_RIcSnReaCY00DHnHBeClA3hf2l5OXxaQJEmp-hUIQxuZICdQUc0ljySOcnoAsCzXG3-rzJQ2Veq3-eaNmOI3IQ3YBw_DYPycPV5Z-Lm-bu_vr24tdd47tez400oGWQKrRSdTGGVvS673g0UUCMYh2Catm6M1oqoU2UremdXMt1J5WqCtEdkpO976bkfwvgbMeEHobBTZAXtK3qFTeKfQhy3besplhBuQd9yYgFot2UGl15sZzZbRF2V4TdpmwZs7siLK-6728PHHo3xOImn_Bd3EvBhKrU-Z6CGspzgmLRJ5g8hFTAzzbk9MGf_5L6nSQ</recordid><startdate>20010301</startdate><enddate>20010301</enddate><creator>Magagi, R.D</creator><creator>Kerr, Y.H</creator><general>Elsevier Inc</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20010301</creationdate><title>Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio</title><author>Magagi, R.D ; Kerr, Y.H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-58e75d56d2563ffd2497931f8f4eff4bdd620b38756478f5289a5b5b356656343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Applied geophysics</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Internal geophysics</topic><topic>Soils</topic><topic>Surficial geology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Magagi, R.D</creatorcontrib><creatorcontrib>Kerr, Y.H</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Magagi, R.D</au><au>Kerr, Y.H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio</atitle><jtitle>Remote sensing of environment</jtitle><date>2001-03-01</date><risdate>2001</risdate><volume>75</volume><issue>3</issue><spage>432</spage><epage>445</epage><pages>432-445</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>This paper presents a new method to retrieve soil moisture and roughness from ERS-1. Wind scatterometer (WSC) data measured over the HAPEX-Sahel area (semiarid environment). The retrieval algorithm makes full use of the multiangular acquisitions and the high temporal repetition of the measured backscattering coefficients. The vegetation contribution to the signal is taken into account through a first-order radiative transfer model. The soil moisture and roughness are subsequently retrieved, throughout the rainy season, using the copolarization ratio as expressed by Oh et al. [IEEE Transactions on Geoscience and Remote Sensing GE-30 (1992) 370–381]. The paper describes the data and the approach used, together with the results gained. A good sensitivity of the backscattering coefficient to soil moisture is obtained. The results are compared with data collected during the HAPEX-Sahel campaign.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/S0034-4257(00)00185-1</doi><tpages>14</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0034-4257 |
| ispartof | Remote sensing of environment, 2001-03, Vol.75 (3), p.432-445 |
| issn | 0034-4257 1879-0704 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_26961860 |
| source | Elsevier ScienceDirect Journals |
| subjects | Applied geophysics Earth sciences Earth, ocean, space Exact sciences and technology Internal geophysics Soils Surficial geology |
| title | Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T10%3A40%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20surface%20soil%20moisture%20and%20soil%20roughness%20over%20semiarid%20areas%20from%20the%20use%20of%20the%20copolarization%20ratio&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Magagi,%20R.D&rft.date=2001-03-01&rft.volume=75&rft.issue=3&rft.spage=432&rft.epage=445&rft.pages=432-445&rft.issn=0034-4257&rft.eissn=1879-0704&rft.coden=RSEEA7&rft_id=info:doi/10.1016/S0034-4257(00)00185-1&rft_dat=%3Cproquest_cross%3E17920070%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=17920070&rft_id=info:pmid/&rft_els_id=S0034425700001851&rfr_iscdi=true |