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First 694 results for ” Hana; Lee”

1. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

   Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

   L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

   Publication

2. Improved inversion of aerosol components in the atmospheric column from remote sensing data
   Y Zhang, Z Li, Y Chen, G de Leeuw, C Zhang, Y Xie, K Li | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 12795 | Last page: 12811 | doi: https://doi.org/10.5194/acp-20-12795-2020

   Publication

3. The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin

   Spatio-temporal variation of hydrological processes that have a strong lagged autocorrelation (me...

   S Khanal, A Lutz, W Immerzeel, H de Vries, N Wanders, BJJ van den Hurk | Status: published | Journal: Atmosphere | Volume: 10 | Year: 2019 | First page: 171 | doi: 10.3390/atmos10040171

   Publication

4. The impacts of the COVID-19 lockdown on air quality in the Guanzhong Basin, China
   K Zhang, G de Leeuw, Z Yang, X Chen, J Jiao | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1-23 | doi: doi:10.3390/rs12183042

   Publication

5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

   Publication