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      <source-app name="Horizon">Horizon</source-app>
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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACLN : Articles dans des revues avec comité de lecture non répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Ouattara, B.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Thiel, M.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Mouillot, Florent</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Chevallier, F.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Sponholz, B.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Small fires, big gap : high-resolution VIIRS data reveal widespread underestimation of emissions in sub-Saharan Africa</title>
        <secondary-title>Geomatica</secondary-title>
      </titles>
      <pages>100069 [16 ]</pages>
      <keywords>
        <keyword>AFRIQUE SUBSAHARIENNE</keyword>
      </keywords>
      <dates>
        <year>2025</year>
      </dates>
      <call-num>fdi:010095769</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Geomatica</full-title>
      </periodical>
      <isbn>1195-1036</isbn>
      <number>2</number>
      <electronic-resource-num>10.1016/j.geomat.2025.100069</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010095769</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-12/010095769.pdf</url>
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      </urls>
      <volume>77</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Fires across sub-Saharan Africa (SSA) are a dominant source of global carbon emissions, yet their true magnitude remains uncertain due to the limitations of coarse-resolution satellite products. In this study, we developed a high-resolution fire emission inventory prototype for SSA using active fire detections from the VIIRS sensor (375?m) and a top-down approach based on fire radiative power (FRP). Emissions were estimated through the integration of FRP to fire radiative energy (FRE), conversion to dry matter burned using biome-specific combustion coefficients, and application of emission factors for carbon dioxide. A parallel MODIS-based dataset was also produced using the same methodology to isolate sensor-specific effects. To evaluate detection and modelling differences, the VIIRS-based


product (VIIRS-EM) was compared against six widely used global fire emission inventories. In addition, a subset of emissions from small fires (defined as FRP &lt; 10?MW) was derived and assessed separately. Over the period 2013-2022, VIIRS-EM estimated average annual carbon emissions of 3.0 Pg C, which is 50-75?% higher than most MODIS-based inventories. Emission hotspots were identified in agricultural and savanna regions, particularly in West and Central Africa. Small fires contributed significantly to early and late fire-season emissions and revealed widespread underestimation in existing products. Our findings underscore the importance of high-resolution detection and FRP-based modelling for capturing the full extent of African fire activity. The VIIRS-EM inventory provides improved spatial and temporal resolution, with implications for atmospheric composition modelling, greenhouse gas accounting, and regional fire policy development.</abstract>
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