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Aerosol plume characterisation from multi-temporal hyperspectral analysis

  • Pierre Yves Foucher
  • , Philippe Deliot
  • , Laurent Poutier
  • , Olivier Duclaux
  • , Valentin Raffort
  • , Yelva Roustan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we focus on airborne hyperspectral imaging methodology to characterize PM (Particulate Matter) size near industrial plume emission source. Two intensive campaigns were conducted in the vicinity of a refinery in the south of France, in September 2015 and February 2016. During the campaigns different observation protocols of PM were deployed. A multi temporal methodology to retrieve aerosol type, to map the aerosol concentration and to quantify mass flow rate from airborne hyperspectral data is described in this paper. This method applied to the refinery main stack give a black carbon ratio around 10% and aerosol size mode less than 100 nm with a metric spatial resolution. These results show a good agreement with in-situ measurements and flow rate modelling.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6029-6032
Number of pages4
ISBN (Electronic)9781538671504
DOIs
Publication statusPublished - 31 Oct 2018
Externally publishedYes
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/TerritorySpain
CityValencia
Period22/07/1827/07/18

Keywords

  • Aerosols
  • Airborne
  • Hyperspectral
  • Model
  • Multi-temporal

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