Improving actual evapotranspiration estimates through an integrated remote sensing and cutting-edge machine learning approach.
Published: 4 March 2024| Version 1 | DOI: 10.17632/8x9nrtmfmv.1
Contributor:
Robson dos SantosDescription
This folder contains three subfolders: one with the R code to generate the models, another with the datasets for training and testing used in the work, and the other with the two best models. The datasets pertain to current evapotranspiration generated by the Metric model (Allen et al., 2007), along with various predictor variables.
Files
Institutions
Universidade Federal de Vicosa
Categories
Evapotranspiration Modeling
Funding
National Council for Scientific and Technological Development
140416/2020-0
Coordenação de Aperfeicoamento de Pessoal de Nível Superior
001