Articles | Volume 15, issue 14
https://doi.org/10.5194/amt-15-4271-2022
https://doi.org/10.5194/amt-15-4271-2022
Research article
 | 
27 Jul 2022
Research article |  | 27 Jul 2022

A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors

Roland Vernooij, Patrik Winiger, Martin Wooster, Tercia Strydom, Laurent Poulain, Ulrike Dusek, Mark Grosvenor, Gareth J. Roberts, Nick Schutgens, and Guido R. van der Werf

Viewed

Total article views: 2,235 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,517 648 70 2,235 48 58
  • HTML: 1,517
  • PDF: 648
  • XML: 70
  • Total: 2,235
  • BibTeX: 48
  • EndNote: 58
Views and downloads (calculated since 11 Mar 2022)
Cumulative views and downloads (calculated since 11 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,235 (including HTML, PDF, and XML) Thereof 2,186 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Sep 2024
Download
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.