Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data
In this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of Tunisia, in North Africa. A change detection approach is applied, using 160 multiincidence Envisat ASAR Wide Swath images acquired in the horizontal polarization over a 7 ye...
Gespeichert in:
| Veröffentlicht in: | Water resources research 2014-02, Vol.50 (2), p.823-835 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 835 |
|---|---|
| container_issue | 2 |
| container_start_page | 823 |
| container_title | Water resources research |
| container_volume | 50 |
| creator | Zribi, M. Kotti, F. Amri, R. Wagner, W. Shabou, M. Lili-Chabaane, Z. Baghdadi, N. |
| description | In this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of Tunisia, in North Africa. A change detection approach is applied, using 160 multiincidence Envisat ASAR Wide Swath images acquired in the horizontal polarization over a 7 year period. Parameterization of this algorithm is considered for three classes of vegetation cover density (NDVI |
| doi_str_mv | 10.1002/2012WR013405 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00943877v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1529948124</sourcerecordid><originalsourceid>FETCH-LOGICAL-a4362-144749b5940a8e22cee318fc0915f2e957bcad9547761728a5ef3f411f2b54bb3</originalsourceid><addsrcrecordid>eNpdkVuL1EAQhRtRcFx98wc0-KJg3Kq-pNOPw6i7wqCSKPPYVCaV3V5zGdMZ1_33ZhlZxKeC4jtVdeoI8RLhHQKocwWodiWgNmAfiRV6YzLnnX4sVgBGZ6i9eyqepXQDgMbmbiWqaoyd7MeY5uPEsqfDIQ5XMg6SZOI-0hQbOfFVHIe3sqbEjRwHua7W5fkuNiyrW5qvZaKZuy7OLBua6bl40lKX-MXfeia-f_zwbXOZbb9cfNqstxkZnasMjXHG19YboIKV2jNrLNo9eLStYm9dvafGW-Ncjk4VZLnVrUFsVW1NXesz8eY095q6cJhiT9NdGCmGy_U23PcAvNGFc79wYV-f2MM0_jxymkMf0345mgYejymgVd6bApVZ0Ff_oTfjcRoWJwFzo6BweaEXSp-o29jx3cN6hHAfRfg3irArN6UCp9Siyk6q5d_8-0FF04-QO-0W9PNFwK9bVcGmDO_1H1uCiRg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1642087683</pqid></control><display><type>article</type><title>Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data</title><source>Wiley-Blackwell Journals</source><source>Wiley-Blackwell AGU Digital Archive</source><source>EZB Electronic Journals Library</source><creator>Zribi, M. ; Kotti, F. ; Amri, R. ; Wagner, W. ; Shabou, M. ; Lili-Chabaane, Z. ; Baghdadi, N.</creator><creatorcontrib>Zribi, M. ; Kotti, F. ; Amri, R. ; Wagner, W. ; Shabou, M. ; Lili-Chabaane, Z. ; Baghdadi, N.</creatorcontrib><description>In this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of Tunisia, in North Africa. A change detection approach is applied, using 160 multiincidence Envisat ASAR Wide Swath images acquired in the horizontal polarization over a 7 year period. Parameterization of this algorithm is considered for three classes of vegetation cover density (NDVI < 0.25, 0.25 < NDVI < 0.5, and NDVI > 0.5), retrieved from SPOT‐VGT decadal images. A relative soil moisture index, ranging between 0 (for the driest surfaces) and 1 (for saturated soils), is proposed for each date, with a resolution of 1 km. The retrieved soil moistures are validated by means of ground measurements based on continuous thetaprobe measurements, as well as low‐resolution (25 km) ERS and ASCAT soil moisture products from the Vienna University of Technology (TU Wien). A qualitative relationship between spatiotemporal variations of moisture and precipitation is also discussed.
Key Points
Application of radar remote sensing
Mapping of surface soil moisture</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1002/2012WR013405</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Continental interfaces, environment ; Environmental Sciences ; Envisat ASAR ; Global Changes ; Moisture index ; radar ; Remote sensing ; Satellites ; Saturated soils ; Sciences of the Universe ; Semiarid lands ; Soil moisture ; Vegetation ; Vegetation cover</subject><ispartof>Water resources research, 2014-02, Vol.50 (2), p.823-835</ispartof><rights>2014. American Geophysical Union. All Rights Reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4362-144749b5940a8e22cee318fc0915f2e957bcad9547761728a5ef3f411f2b54bb3</citedby><orcidid>0000-0002-9461-4120 ; 0000-0001-6141-8222 ; 0000-0001-7704-6857</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2012WR013405$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2012WR013405$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,11494,27903,27904,45553,45554,46446,46870</link.rule.ids><backlink>$$Uhttps://hal.science/hal-00943877$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zribi, M.</creatorcontrib><creatorcontrib>Kotti, F.</creatorcontrib><creatorcontrib>Amri, R.</creatorcontrib><creatorcontrib>Wagner, W.</creatorcontrib><creatorcontrib>Shabou, M.</creatorcontrib><creatorcontrib>Lili-Chabaane, Z.</creatorcontrib><creatorcontrib>Baghdadi, N.</creatorcontrib><title>Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data</title><title>Water resources research</title><addtitle>Water Resour. Res</addtitle><description>In this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of Tunisia, in North Africa. A change detection approach is applied, using 160 multiincidence Envisat ASAR Wide Swath images acquired in the horizontal polarization over a 7 year period. Parameterization of this algorithm is considered for three classes of vegetation cover density (NDVI < 0.25, 0.25 < NDVI < 0.5, and NDVI > 0.5), retrieved from SPOT‐VGT decadal images. A relative soil moisture index, ranging between 0 (for the driest surfaces) and 1 (for saturated soils), is proposed for each date, with a resolution of 1 km. The retrieved soil moistures are validated by means of ground measurements based on continuous thetaprobe measurements, as well as low‐resolution (25 km) ERS and ASCAT soil moisture products from the Vienna University of Technology (TU Wien). A qualitative relationship between spatiotemporal variations of moisture and precipitation is also discussed.
Key Points
Application of radar remote sensing
Mapping of surface soil moisture</description><subject>Algorithms</subject><subject>Continental interfaces, environment</subject><subject>Environmental Sciences</subject><subject>Envisat ASAR</subject><subject>Global Changes</subject><subject>Moisture index</subject><subject>radar</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Saturated soils</subject><subject>Sciences of the Universe</subject><subject>Semiarid lands</subject><subject>Soil moisture</subject><subject>Vegetation</subject><subject>Vegetation cover</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNpdkVuL1EAQhRtRcFx98wc0-KJg3Kq-pNOPw6i7wqCSKPPYVCaV3V5zGdMZ1_33ZhlZxKeC4jtVdeoI8RLhHQKocwWodiWgNmAfiRV6YzLnnX4sVgBGZ6i9eyqepXQDgMbmbiWqaoyd7MeY5uPEsqfDIQ5XMg6SZOI-0hQbOfFVHIe3sqbEjRwHua7W5fkuNiyrW5qvZaKZuy7OLBua6bl40lKX-MXfeia-f_zwbXOZbb9cfNqstxkZnasMjXHG19YboIKV2jNrLNo9eLStYm9dvafGW-Ncjk4VZLnVrUFsVW1NXesz8eY095q6cJhiT9NdGCmGy_U23PcAvNGFc79wYV-f2MM0_jxymkMf0345mgYejymgVd6bApVZ0Ff_oTfjcRoWJwFzo6BweaEXSp-o29jx3cN6hHAfRfg3irArN6UCp9Siyk6q5d_8-0FF04-QO-0W9PNFwK9bVcGmDO_1H1uCiRg</recordid><startdate>201402</startdate><enddate>201402</enddate><creator>Zribi, M.</creator><creator>Kotti, F.</creator><creator>Amri, R.</creator><creator>Wagner, W.</creator><creator>Shabou, M.</creator><creator>Lili-Chabaane, Z.</creator><creator>Baghdadi, N.</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-9461-4120</orcidid><orcidid>https://orcid.org/0000-0001-6141-8222</orcidid><orcidid>https://orcid.org/0000-0001-7704-6857</orcidid></search><sort><creationdate>201402</creationdate><title>Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data</title><author>Zribi, M. ; Kotti, F. ; Amri, R. ; Wagner, W. ; Shabou, M. ; Lili-Chabaane, Z. ; Baghdadi, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4362-144749b5940a8e22cee318fc0915f2e957bcad9547761728a5ef3f411f2b54bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Continental interfaces, environment</topic><topic>Environmental Sciences</topic><topic>Envisat ASAR</topic><topic>Global Changes</topic><topic>Moisture index</topic><topic>radar</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Saturated soils</topic><topic>Sciences of the Universe</topic><topic>Semiarid lands</topic><topic>Soil moisture</topic><topic>Vegetation</topic><topic>Vegetation cover</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zribi, M.</creatorcontrib><creatorcontrib>Kotti, F.</creatorcontrib><creatorcontrib>Amri, R.</creatorcontrib><creatorcontrib>Wagner, W.</creatorcontrib><creatorcontrib>Shabou, M.</creatorcontrib><creatorcontrib>Lili-Chabaane, Z.</creatorcontrib><creatorcontrib>Baghdadi, N.</creatorcontrib><collection>Istex</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zribi, M.</au><au>Kotti, F.</au><au>Amri, R.</au><au>Wagner, W.</au><au>Shabou, M.</au><au>Lili-Chabaane, Z.</au><au>Baghdadi, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data</atitle><jtitle>Water resources research</jtitle><addtitle>Water Resour. Res</addtitle><date>2014-02</date><risdate>2014</risdate><volume>50</volume><issue>2</issue><spage>823</spage><epage>835</epage><pages>823-835</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>In this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of Tunisia, in North Africa. A change detection approach is applied, using 160 multiincidence Envisat ASAR Wide Swath images acquired in the horizontal polarization over a 7 year period. Parameterization of this algorithm is considered for three classes of vegetation cover density (NDVI < 0.25, 0.25 < NDVI < 0.5, and NDVI > 0.5), retrieved from SPOT‐VGT decadal images. A relative soil moisture index, ranging between 0 (for the driest surfaces) and 1 (for saturated soils), is proposed for each date, with a resolution of 1 km. The retrieved soil moistures are validated by means of ground measurements based on continuous thetaprobe measurements, as well as low‐resolution (25 km) ERS and ASCAT soil moisture products from the Vienna University of Technology (TU Wien). A qualitative relationship between spatiotemporal variations of moisture and precipitation is also discussed.
Key Points
Application of radar remote sensing
Mapping of surface soil moisture</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2012WR013405</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-9461-4120</orcidid><orcidid>https://orcid.org/0000-0001-6141-8222</orcidid><orcidid>https://orcid.org/0000-0001-7704-6857</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0043-1397 |
| ispartof | Water resources research, 2014-02, Vol.50 (2), p.823-835 |
| issn | 0043-1397 1944-7973 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_00943877v1 |
| source | Wiley-Blackwell Journals; Wiley-Blackwell AGU Digital Archive; EZB Electronic Journals Library |
| subjects | Algorithms Continental interfaces, environment Environmental Sciences Envisat ASAR Global Changes Moisture index radar Remote sensing Satellites Saturated soils Sciences of the Universe Semiarid lands Soil moisture Vegetation Vegetation cover |
| title | Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T22%3A30%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Soil%20moisture%20mapping%20in%20a%20semiarid%20region,%20based%20on%20ASAR/Wide%20Swath%20satellite%20data&rft.jtitle=Water%20resources%20research&rft.au=Zribi,%20M.&rft.date=2014-02&rft.volume=50&rft.issue=2&rft.spage=823&rft.epage=835&rft.pages=823-835&rft.issn=0043-1397&rft.eissn=1944-7973&rft_id=info:doi/10.1002/2012WR013405&rft_dat=%3Cproquest_hal_p%3E1529948124%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1642087683&rft_id=info:pmid/&rfr_iscdi=true |