Assessing the performance of the Gaussian Process Regression algorithm to fill gaps in the time-series of daily actual evapotranspiration of different crops in temperate and continental zones using ground and remotely sensed data-Reference-Cited by-同舟云学术

Assessing the performance of the Gaussian Process Regression algorithm to fill gaps in the time-series of daily actual evapotranspiration of different crops in temperate and continental zones using ground and remotely sensed data

Published:2023-12 Issue: Volume:290 Page:108596
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

De Caro Dario,Ippolito Matteo^ORCID,Cannarozzo Marcella,Provenzano Giuseppe,Ciraolo Giuseppe

Funder

European Commission

Ministero dell’Istruzione, dell’Università e della Ricerca

Drug Discovery Center, College of Pharmacy, Health Science Center, University of Tennessee

Università degli Studi di Palermo

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

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