Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence
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Title
Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence
Authors
Keywords
Urban water, Eddy covariance, Latent heat flux, 1D convolutional neural networks (CNN), Deep learning, Harmonized Landsat and Sentinel-2
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 786, Issue -, Pages 147293
Publisher
Elsevier BV
Online
2021-04-28
DOI
10.1016/j.scitotenv.2021.147293
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