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Remote Sensing — Section Editors

Section Board for 'Atmosphere Remote Sensing'

Please see the section webpage for more information on this section.

Dr. Richard Müller
Section Editor-in-Chief
German Meteorological Service CM-SAF, Frankfurter Straße 135, 63067 Offenbach, Germany
Fax: +49 (0) 69 8062 4955
Website | E-Mail
Interests: remote sensing of surface radiation; clouds and aerosols; sensor calibration; methods for "merging" in-situ data with remote sensing data
Special Issues and Collections in MDPI journals:
Special Issue: Remote Sensing in Climate Monitoring and Analysis
Special Issue: Calibration and Verification of Remote Sensing Instruments and Observations
Special Issue: Remote Sensing of Solar Surface Radiation
Special Issue: Energy Meteorology
Special Issue: Feature Papers for Section Atmosphere Remote Sensing
Dr. Alexander Kokhanovsky
Vitrociset_Belgium, Bratustrasse 7, 64293 Darmstadt, Germany
Tel. +49(0)6151 9573410; Fax: +49(0)6151 9573426
Website | E-Mail
Interests: remote sensing; light scattering; radiative transfer; inverse problems; atmospheric optics; retrieval of aerosol and cloud properties from spaceborne observations
Special Issues and Collections in MDPI journals:
Special Issue: Atmospheric Remote Sensing
Special Issue: Advances in Studies of Atmospheric Aerosol and Clouds Using Remote Sensing Techniques
Special Issue: Aerosol and Cloud Remote Sensing
Special Issue: Atmospheric Correction of Remote Sensing Data
Special Issue: Remote Sensing of Atmosphere and Underlying Surface Using OLCI and SLSTR on Board Sentinel-3: Calibration, Algorithms, Geophysical Products and Validation
Prof. Dr. Gerrit de Leeuw
Remote Sensing of Aerosols and Clouds, Climate Research Unit, Finnish Meteorological Institute, 00101 Helsinki, Finland University of Helsinki, 00100 Helsinki, Finland
Website | E-Mail
Interests: atmospheric composition; aerosols; clouds; satellite remote sensing; ground-based remote sensing; air quality; aerosol effects on Climate; aerosol-cloud interaction; meteorological effects on aerosols
Prof. Dr. Jun Wang
Center for Global and Environmental Research & Dept. of Chemical and Biochemical Engineering 4133 Seamans Center Iowa City, IA 52242, USA
Website | E-Mail
Interests: satellite remote sensing, particle scattering, radiative transfer, observation-based atmospheric modeling
Special Issues and Collections in MDPI journals:
Special Issue: Remote Sensing of Atmospheric Pollution
Prof. Ping Yang
Department Head, Holder of the David Bullock Harris Chair, Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA
Website | E-Mail
Interests: light scattering; radiative transfer; atmospheric radiation; remote sensing
Prof. & Academician Yuei-An Liou
Hydrology Remote Sensing Laboratory, Center for Space and Remote Sensing Research, National Central University, Tao-Yuan, Taiwan
Website | E-Mail
Interests: microwave and optical remote sensing; atmospheric science; GPS meteorology and methodology; cryosphere
Special Issues and Collections in MDPI journals:
Special Issue: Earth Observations for the Sustainable Development
Special Issue: The Development and Validation of Remote Sensing Products for Terrestrial, Hydrological, and Ecological Applications at the Regional Scale
Special Issue: Earth Observations for a Better Future Earth
Special Issue: Earth Observations for Addressing Global Challenges
Dr. Hartwig Deneke
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Website | E-Mail
Interests: estimation of cloud properties from passive satellite sensors; validation with ground-based measurements; influence of clouds and aerosols on the atmospheric radiation budget; effects of small-scale cloud variability on cloud property retrievals and radiation
Dr. Uwe Pfeifroth
German Meteorological Service, Satellite-based Climate Monitoring, Frankfurter Straße 135, 63067 Offenbach, Germany
Website1 | Website2 | E-Mail
Interests: remote sensing of the atmosphere (radiation, clouds, aerosols); remote sensing of precipitation; satellite-based climate monitoring and analysis; validation of remote sensing data using ground-based reference data
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