Open AccessAn approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF
Author(s) -
José Lomelí-Huerta,
Juan Pablo Rivera,
Miguel DelaTorre,
Brenda Acevedo-Juárez,
Jushiro Cepeda-Morales,
Himer Ávila-George
Publication year - 2022
Publication title -
peerj computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.979
Subject(s) - computer science , satellite imagery , remote sensing , satellite , missing data , pixel , data assimilation , data mining , meteorology , environmental science , artificial intelligence , machine learning , geography , engineering , aerospace engineering
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