Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning
Authors
Hendrik Andersen
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe; Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe
Jan Cermak
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe; Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe
Roland Stirnberg
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe; Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe
Julia Fuchs
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe; Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe
Miae Kim
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe; Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe, DE; Department of Urban & Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan
Eva Pauli
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe; Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe
DOI: https://doi.org/10.1080/16000889.2021.1971925 | Journal eISSN: 1600-0889
Language: English
Page range: 1971925 - 1971925
Published on: Jan 1, 2021
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2021 Hendrik Andersen, Jan Cermak, Roland Stirnberg, Julia Fuchs, Miae Kim, Eva Pauli, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.