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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-77', Anonymous Referee #1, 11 Apr 2022
    • AC1: 'Reply on RC1 and RC2', Roland Vernooij, 31 May 2022
  • RC2: 'Comment on amt-2022-77', Anonymous Referee #2, 13 Apr 2022
    • AC1: 'Reply on RC1 and RC2', Roland Vernooij, 31 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Roland Vernooij on behalf of the Authors (11 Jun 2022)  Author's response   Manuscript 
EF by Polina Shvedko (13 Jun 2022)  Author's tracked changes 
ED: Publish as is (15 Jun 2022) by Glenn Wolfe
AR by Roland Vernooij on behalf of the Authors (01 Jul 2022)
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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.