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      <source-app name="Horizon">Horizon</source-app>
      <rec-number>1</rec-number>
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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Aranha, T. R. B. T.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Martinez, Jean-Michel</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Souza, E. P.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Barros, M. U. G.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Martins, E. S. P. R.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Remote analysis of the chlorophyll-a concentration using Sentinel-2 MSI images in a semiarid environment in Northeastern Brazil</title>
        <secondary-title>Water</secondary-title>
      </titles>
      <pages>451 [22 p.]</pages>
      <keywords>
        <keyword>remote sensing</keyword>
        <keyword>water quality</keyword>
        <keyword>chlorophyll-a</keyword>
        <keyword>reservoirs</keyword>
        <keyword>semiarid</keyword>
        <keyword>BRESIL</keyword>
        <keyword>ZONE SEMIARIDE</keyword>
        <keyword>CEARA ETAT</keyword>
      </keywords>
      <dates>
        <year>2022</year>
      </dates>
      <call-num>fdi:010084301</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Water</full-title>
      </periodical>
      <accession-num>ISI:000755253400001</accession-num>
      <number>3</number>
      <electronic-resource-num>10.3390/w14030451</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010084301</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-04/010084301.pdf</url>
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      </urls>
      <volume>14</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>In this paper, the authors use remote-sensing images to monitor the water quality of reservoirs located in the semiarid region of Northeast Brazil. Sentinel-2 MSI TOA Level 1C reflectance images were used to remotely estimate the concentration of chlorophyll-a (chl-a), the main indicator of the trophic state of aquatic environments, in five reservoirs in the state of Ceara, Brazil. A three-spectral band retrieval model was calibrated using 171 water samples, collected from November 2015 through July 2018 in 5 reservoirs. For validation, 71 additional samples, collected from August 2018 through December 2019, were used to ensure a robust accuracy assessment. The TOA Level 1C products performed very well, achieving a relative RMSE of 28% and R-2 = 0.80. Data on wind direction and speed, solar radiation and reservoir volume were used to generate a conceptual model to analyze the behavior of chl-a in the surface waters of the Castanhao reservoir. During 2019, the reservoir water quality showed strong variation, with concentration fluctuating from 30 to 95 mu g/L We showed that the end of the dry season is marked by strong eutrophic conditions corresponding to very low water inflows into the reservoir. During the rainy season there is a large decrease in the chl-a concentration following the increase of the lake water storage. During the following dry season, satellite data show a progressive improvement of the trophic state controlled by wind intensity that promotes a better mixing of the reservoir waters and inhibiting the development of most phytoplankton.</abstract>
      <custom6>062 ; 126 ; 036</custom6>
      <custom1>UR234</custom1>
      <custom7>Brésil</custom7>
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