Open AccessSatellite-based estimation of NO2 concentrations using a machine-learning model: a case study on Rio Grande do Sul, Brazil
Author(s) -
Adriana Coromoto Becerra-Rondón,
Jorge Ricardo Ducati,
Rafael Haag
Publication year - 2022
Publication title -
atmósfera
Language(s) - English
Resource type - Journals
eISSN - 2395-8812
pISSN - 0187-6236
DOI - 10.20937/atm.53116
Subject(s) - satellite , environmental science , nitrogen dioxide , ground level ozone , ozone , random forest , pollutant , remote sensing , covariate , meteorology , atmospheric sciences , computer science , machine learning , geography , chemistry , geology , organic chemistry , aerospace engineering , engineering
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