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      <ref-type name="Conference Proceedings">10</ref-type>
      <work-type>C-ACTI : Communications avec actes dans un congrès international</work-type>
      <contributors>
        <authors>
          <author>
            <style face="bold" font="default" size="100%">Andrianasolo, Haja</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Agricultural statistics and space images in Madagascar : estimation of second rice season acreage in a sub-prefecture</title>
        <tertiary-title>Proceedings of the twentieth international symposium on remote sensing of environment</tertiary-title>
        <secondary-title>International Symposium on Remote Sensing of Environment</secondary-title>
      </titles>
      <pages>1143-1146</pages>
      <keywords>
        <keyword>TELEDETECTION SPATIALE</keyword>
        <keyword>AGRICULTURE</keyword>
        <keyword>TRAITEMENT D'IMAGE</keyword>
        <keyword>ANALYSE DISCRIMINANTE</keyword>
        <keyword>RECOLTE</keyword>
        <keyword>PREVISION</keyword>
        <keyword>RIZ</keyword>
        <keyword>MADAGASCAR</keyword>
        <keyword>MARAVOAY ZONE</keyword>
      </keywords>
      <dates>
        <year>1988</year>
        <pub-dates>
          <date>1986/12/04-10</date>
        </pub-dates>
      </dates>
      <pub-location>Ann Arbor</pub-location>
      <publisher>ERIM</publisher>
      <call-num>fdi:25321</call-num>
      <language>ENG</language>
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          <url>https://www.documentation.ird.fr/hor/fdi:25321</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/pleins_textes_5/b_fdi_18-19/25321.pdf</url>
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      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Space images are of great interest, particurlarly for acreages estimation of crops in agricultural statistics. But their use in an operational way can't be done without some problems, mainly those about costs, for developping countries. So must be found a way of reducing these three kinds of costs. It means that the appropriate method must be able to supply results on some area, even if it is not covered by all the images used. The author's approach tends to this, and comprises the following steps : 1) selection of a representative image, 2) selection of a date where most of the crops of a year are present, 3) stratification of the studied area, 4) construction of parameters for pattern (crops) recognition, 5) estimation of crops acreage in some area</abstract>
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