Latin American GRSS and ISPRS Remote Sensing Conference
10 - 13 November 2025 • Iguazu Falls, Brazil
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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OP05: Environment-Ecology: Wildfire Location: Florestan Fernandes I Session Chair: Jimena Albornoz | |
| Presentation 5 | |
3:20pm - 3:40pm
Evaluation of MAIAC-Derived Aerosol Optical Depth from MODIS and EPIC Observations During South American Fire Events 1: Instituto de Física de Rosario (CONICET-UNR), Rosario, Argentina; 2: Facultad de Ingeniería del Ejército, Universidad de la Defensa Nacional, Buenos Aires, Argentina; 3: NASA Goddard Space Flight Center, Greenbelt, USA; 4: Joint Center for Earth Systems Technology, University of Maryland, Baltimore, USA Biomass burning in South America contributes to regional aerosol loading, impacting air quality, climate, and public health. Accurate monitoring of AOD during fire events is critical for assessing these impacts. Satellite products such as MODIS-MAIAC offer reliable AOD retrievals but are limited to one or two observations per day. In contrast, the EPIC aboard the DSCOVR/NASA satellite provides near-hourly observations from the L1 Lagrange point, offering new opportunities to capture intra-daily aerosol variability. This study presents an analysis of EPIC-MAIAC AOD over southeastern South America during intense fire seasons in 2020 and 2021. An intercomparison with MODIS-MAIAC was performed. Results show higher values during spring (mean AOD = 0.2) and in known fire hotspots, though retrievals near water surfaces and coastal areas remain uncertain due to surface reflectance challenges. Standard deviation maps support the stability of EPIC retrievals, with low variability (standard deviation between 0 and 0.1) due to temporal averaging across multiple daily observations. Intra-daily analysis of AOD retrieved from EPIC instrument revealed peak values around midday. Time series analysis demonstrates overall agreement between EPIC-MAIAC and MODIS-MAIAC, with EPIC underestimating peak AOD values in some instances. This work highlights EPIC’s potential as a complementary tool for aerosol monitoring during fire events, particularly in capturing short-term fluctuations that are crucial for understanding aerosol transport mechanisms and supporting air quality assessments. | |

