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    <titleInfo>
      <title>Small fires, big gap : high-resolution VIIRS data reveal widespread underestimation of emissions in sub-Saharan Africa</title>
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    <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>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject authority="local">
      <geographic>AFRIQUE SUBSAHARIENNE</geographic>
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    <classification authority="local">021ENVECO</classification>
    <classification authority="local">126TELTRN05</classification>
    <classification authority="local">082VEGET</classification>
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      <titleInfo>
        <title>Geomatica</title>
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      <part>
        <detail type="volume">
          <number>77</number>
        </detail>
        <detail type="volume">
          <number>2</number>
        </detail>
        <extent unit="pages">
          <list>100069 [16 ]</list>
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      <originInfo>
        <dateIssued>2025</dateIssued>
      </originInfo>
      <identifier type="issn">1195-1036</identifier>
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    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010095769</identifier>
    <identifier type="doi">10.1016/j.geomat.2025.100069</identifier>
    <identifier type="issn">1195-1036</identifier>
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