<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Small fires, big gap : high-resolution VIIRS data reveal widespread underestimation of emissions in sub-Saharan Africa</dc:title>
  <dc:creator>Ouattara, B.</dc:creator>
  <dc:creator>Thiel, M.</dc:creator>
  <dc:creator>/Mouillot, Florent</dc:creator>
  <dc:creator>Chevallier, F.</dc:creator>
  <dc:creator>Sponholz, B.</dc:creator>
  <dc:description>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.</dc:description>
  <dc:date>2025</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010095769</dc:identifier>
  <dc:identifier>fdi:010095769</dc:identifier>
  <dc:identifier>Ouattara B., Thiel M., Mouillot Florent, Chevallier F., Sponholz B.. Small fires, big gap : high-resolution VIIRS data reveal widespread underestimation of emissions in sub-Saharan Africa. 2025, 77 (2), 100069 [16 ]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>AFRIQUE SUBSAHARIENNE</dc:coverage>
</oai_dc:dc>
