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First 4174 results for ” and Zhao”

1. In-Flight, Full-Pixel Calibration of Reflectance in Spatial Dimension for Environmental Trace Gases Monitoring Instrument

   Calibrating the top-of-atmospheric reflectance measurements of spaceborne hyperspectral atmospher...

   Yang, T., Wang, P., Si, F., Zhou, H., Zhao, M., Luo, Y., Chang, Z | Journal: Geoscience and Remote Sensing Letters | Volume: 19 | Year: 2022 | doi: https://doi.org/10.1109/LGRS.2022.3194565

   Publication

2. Interdecadal Changes in Aerosol Optical Depth Over Pakistan Based on the MERRA‐2 Reanalysis Data during 1980–2018

   The spatiotemporal evolution and trends in aerosol optical depth (AOD) over environ‐ mentally dis...

   Khan, R.; Kumar, K.R.; Zhao, T.; Ullah, W.; de Leeuw, G. | Journal: Remote Sensing | Year: 2021 | doi: 10.3390/ rs13040822

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3. performance of Aeolus in heterogeneous atmospheric conditions using high-resolution radiosonde data

   The European Space Agency Aeolus mission aims to measure wind profiles from space. A major challe...

   XJ Sun, RW Zhang, GJ Marseille, A Stoffelen, D Donovan, L Jiu, J Zhao | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 7 | Year: 2014 | First page: 2695 | Last page: 2717 | doi: doi:10.5194/amt-7-2695-2014

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4. Source contribution analysis of tropospheric NO2 based on two-dimensional MAX-DOAS measurements

   Ground-based two-dimensional (2D) Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DO...

   T Yang, F Si, Y Luo, K Zhan, P Wang, H Zhou, M Zhao, W Liu | Status: published | Journal: Atmos. Environm. | Volume: 210 | Year: 2019 | First page: 186 | Last page: 197 | doi: https://doi.org/10.1016/j.atmosenv.2019.04.058

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5. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus,...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

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