@inproceedings{aeaf4ef7b0f240689f45951f882d7ced,
title = "Aerosol plume characterisation from multi-temporal hyperspectral analysis",
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.",
keywords = "Aerosols, Airborne, Hyperspectral, Model, Multi-temporal",
author = "Foucher, \{Pierre Yves\} and Philippe Deliot and Laurent Poutier and Olivier Duclaux and Valentin Raffort and Yelva Roustan",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8518476",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6029--6032",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
}