Articles | Volume 15, issue 14
https://doi.org/10.5194/amt-15-4271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-4271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jul 2022
Research article |
| 27 Jul 2022
| 27 Jul 2022
A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors
Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Patrik Winiger
Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Martin Wooster
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography, London, UK
National Centre for Earth Observation (NERC), Leicester, UK
Tercia Strydom
South African National Parks (SANParks), Scientific Services, Skukuza, South Africa
Laurent Poulain
Atmospheric Chemistry Department (ACD), Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Ulrike Dusek
Centre for Isotope Research (CIO), Energy and Sustainability Research Institute Groningen (ESRIG), Groningen, the Netherlands
Mark Grosvenor
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography, London, UK
Gareth J. Roberts
Geography and Environmental Science, University of Southampton, Southampton, UK
Nick Schutgens
Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Guido R. van der Werf
Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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Total article views: 1,941 (including HTML, PDF, and XML)
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Total article views: 794 (including HTML, PDF, and XML)
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Cited
10 citations as recorded by crossref.
- İSTANBUL'DA KENTSEL ARKA PLANDA ATMOSFERIK SIYAH KARBON KONSANTRASYON DEĞIŞIMININ DEĞERLENDIRILMESI Z. Çolak et al. 10.35229/jaes.1561066
- Copter-Type UAV-Based Sensing in Atmospheric Chemistry: Recent Advances, Applications, and Future Perspectives Y. Li et al. 10.1021/acs.est.5c00074
- Evaluating the performance and influencing factors of three portable black carbon monitors for field measurement L. Wu et al. 10.1016/j.jes.2023.05.044
- Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios L. Vallet et al. 10.5194/bg-22-213-2025
- Framework for a savanna burning emissions abatement methodology applicable to fire-prone miombo woodlands in southern Africa J. Russell-Smith et al. 10.1071/WF23193
- An integrated drone-based platform with novel correction methods for accurate vertical profiling of black carbon S. Lee et al. 10.1016/j.atmosenv.2025.121147
- Can the remote sensing of combustion phase improve estimates of landscape fire smoke emission rate and composition? F. Owsley-Brown et al. 10.5194/amt-17-6247-2024
- Dynamic savanna burning emission factors based on satellite data using a machine learning approach R. Vernooij et al. 10.5194/esd-14-1039-2023
- Comparative analysis of winter composite-PM2.5 in Central Indo Gangetic Plain cities: Combined organic and inorganic source apportionment and characterization, with a focus on the photochemical age effect on secondary organic aerosol formation A. Lakra et al. 10.1016/j.atmosenv.2024.120827
- Unmanned aerial vehicles and low-cost sensors for air quality monitoring: A comprehensive review of applications across diverse emission sources . Vishal et al. 10.1016/j.scs.2025.106409
10 citations as recorded by crossref.
- İSTANBUL'DA KENTSEL ARKA PLANDA ATMOSFERIK SIYAH KARBON KONSANTRASYON DEĞIŞIMININ DEĞERLENDIRILMESI Z. Çolak et al. 10.35229/jaes.1561066
- Copter-Type UAV-Based Sensing in Atmospheric Chemistry: Recent Advances, Applications, and Future Perspectives Y. Li et al. 10.1021/acs.est.5c00074
- Evaluating the performance and influencing factors of three portable black carbon monitors for field measurement L. Wu et al. 10.1016/j.jes.2023.05.044
- Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios L. Vallet et al. 10.5194/bg-22-213-2025
- Framework for a savanna burning emissions abatement methodology applicable to fire-prone miombo woodlands in southern Africa J. Russell-Smith et al. 10.1071/WF23193
- An integrated drone-based platform with novel correction methods for accurate vertical profiling of black carbon S. Lee et al. 10.1016/j.atmosenv.2025.121147
- Can the remote sensing of combustion phase improve estimates of landscape fire smoke emission rate and composition? F. Owsley-Brown et al. 10.5194/amt-17-6247-2024
- Dynamic savanna burning emission factors based on satellite data using a machine learning approach R. Vernooij et al. 10.5194/esd-14-1039-2023
- Comparative analysis of winter composite-PM2.5 in Central Indo Gangetic Plain cities: Combined organic and inorganic source apportionment and characterization, with a focus on the photochemical age effect on secondary organic aerosol formation A. Lakra et al. 10.1016/j.atmosenv.2024.120827
- Unmanned aerial vehicles and low-cost sensors for air quality monitoring: A comprehensive review of applications across diverse emission sources . Vishal et al. 10.1016/j.scs.2025.106409
Latest update: 18 Jul 2025
Short summary
Landscape fires are a substantial emitter of greenhouse gases and aerosols. Previous studies have indicated savanna emission factors to be highly variable. Improving fire emission estimates, and understanding future climate- and human-induced changes in fire regimes, requires in situ measurements. We present a drone-based method that enables the collection of a large amount of high-quality emission factor measurements that do not have the biases of aircraft or surface measurements.
Landscape fires are a substantial emitter of greenhouse gases and aerosols. Previous studies...
