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    <titleInfo>
      <title>Impact of surface soil moisture variations on radar altimetry echoes at Ku and Ka bands in semi-arid areas</title>
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      <namePart type="family">Fatras</namePart>
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      <namePart type="family">Mougin</namePart>
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      <namePart type="family">Blumstein</namePart>
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    <name type="personnal">
      <namePart type="family">Nino</namePart>
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    <abstract>Radar altimetry provides information on the topography of the Earth surface. It is commonly used for the monitoring not only sea surface height but also ice sheets topography and inland water levels. The radar altimetry backscattering coefficient, which depends on surface roughness and water content, can be related to surface properties such as surface soil moisture content. In this study, the influence of surface soil moisture on the radar altimetry echo and backscattering coefficient is analyzed over semi-arid areas. A semi-empirical model of the soil's complex dielectric permittivity that takes into account that small-scale roughness and large-scale topography was developed to simulate the radar echoes. It was validated using waveforms acquired at Ku and Ka-bands by ENVISAT RA-2 and SARAL AltiKa respectively over several sites in Mali. Correlation coefficients ranging from 0.66 to 0.94 at Ku-band and from 0.27 to 0.96 at Ka-band were found. The increase in surface soil moisture from 0.02 to 0.4 (i. e., the typical range of variations in semi-arid areas) increase the backscattering from 10 to 15 dB between the core of the dry and the maximum of the rainy seasons.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject>
      <topic>radar altimetry</topic>
      <topic>waveform</topic>
      <topic>dielectric permittivity</topic>
      <topic>soil moisture</topic>
    </subject>
    <subject authority="local">
      <geographic>MALI</geographic>
      <geographic>SAHEL</geographic>
      <geographic>AFRIQUE DE L'OUEST</geographic>
      <geographic>ZONE SEMIARIDE</geographic>
    </subject>
    <classification authority="local">126</classification>
    <classification authority="local">072</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>Remote Sensing</title>
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      <part>
        <detail type="volume">
          <number>10</number>
        </detail>
        <detail type="volume">
          <number>4</number>
        </detail>
        <extent unit="pages">
          <list> art. 582 [23 p.]</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2018</dateIssued>
      </originInfo>
      <identifier type="issn">2072-4292</identifier>
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    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010073602</identifier>
    <identifier type="doi">10.3390/rs10040582</identifier>
    <identifier type="issn">2072-4292</identifier>
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      <shelfLocator>[F B010073602]</shelfLocator>
      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010073602</url>
      <url access="row object">https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers18-08/010073602.pdf</url>
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      <recordCreationDate encoding="w3cdtf">2018-09-03</recordCreationDate>
      <recordChangeDate encoding="w3cdtf">2023-07-11</recordChangeDate>
      <recordIdentifier>fdi:010073602</recordIdentifier>
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        <languageTerm authority="iso639-2b">fre</languageTerm>
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