Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data
Author(s) -
Jiajia Chen,
Huanfeng Shen,
Xinghua Li,
Tongwen Li,
Ying Wei
Publication year - 2022
Publication title -
international journal of applied earth observation and geoinformation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.623
H-Index - 98
eISSN - 1872-826X
pISSN - 1569-8432
DOI - 10.1016/j.jag.2022.102955
Subject(s) - mean squared error , gradient boosting , remote sensing , environmental science , estimation , spatial analysis , mean absolute percentage error , computer science , random forest , meteorology , geography , statistics , mathematics , engineering , machine learning , systems engineering
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