Actual evapotranspiration by machine learning and remote sensing without the thermal spectrum

The objectives of this study were to use machine learning algorithms to establish a model for estimating the evapotranspiration fraction (ET(f)) using two data input scenarios from the spectral information of the Sentinel-2 constellation, and to analyze the temporal and spatial applicability of the...

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Detalles Bibliográficos
Autores principales: Costa, Taiara Souza, Filgueiras, Roberto, dos Santos, Robson Argolo, da Cunha, Fernando França
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174567/
https://www.ncbi.nlm.nih.gov/pubmed/37167314
http://dx.doi.org/10.1371/journal.pone.0285535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174567/
https://www.ncbi.nlm.nih.gov/pubmed/37167314
http://dx.doi.org/10.1371/journal.pone.0285535

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