Detecting candidate high NOx emitting light commercial vehicles using vehicle emission remote sensing

Yang, Z, Tate, JE orcid.org/0000-0003-1646-6852, Rushton, CE et al. (2 more authors) (2022) Detecting candidate high NOx emitting light commercial vehicles using vehicle emission remote sensing. Science of the Total Environment, 823. 153699. ISSN 0048-9697

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Copyright, Publisher and Additional Information: © 2022 Elsevier B.V. All rights reserved. This is an author produced version of an article, published in Science of the Total Environment. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Remote sensing; Vans; NOx emissions; High-emitters identification
Dates:
  • Accepted: 2 February 2022
  • Published (online): 7 February 2022
  • Published: 1 June 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Funding Information:
FunderGrant number
EU - European Union814966
Depositing User: Symplectic Publications
Date Deposited: 15 Jul 2022 11:26
Last Modified: 07 Feb 2023 01:13
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.scitotenv.2022.153699
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