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Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence

Crossref DOI link: https://doi.org/10.1016/j.scitotenv.2021.147293

Published Print: 2021-09

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Vulova, Stenka

Meier, Fred

Rocha, Alby Duarte

Quanz, Justus

Nouri, Hamideh

Kleinschmit, Birgit
Funding

Funding for this research was provided by:

German Research Foundation

Federal Ministry of Education and Research Bonn Office
License Information

Text and Data Mining valid from 2021-09-01

Text and Data Mining valid from 2021-09-01

Version of Record valid from 2021-04-27
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This article is maintained by: Elsevier

Article Title: Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence

Journal Title: Science of The Total Environment

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.scitotenv.2021.147293

Content Type: article

Copyright: © 2021 The Author(s). Published by Elsevier B.V.