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First 1836 results for ” Chaofang Zhao”

1. SST Dependence of Ku- and C-Band Backscatter Measurements

   The normalized radar cross section (NRCS) measured by satellite ocean radar systems is representa...

   Zhixiong Wang, Ad Stoffelen, Franco Fois, Anton Verhoef, Chaofang Zhao, Mingsen Lin, Ge Chen | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 10 | Year: 2017 | doi: https://doi.org/10.1109/JSTARS.2016.2600749

   Publication

2. An SST‐dependent K u‐band geophysical model function for R apid S cat

   A new Ku-band geophysical model function (GMF), which includes sea surface temperature (SST) depe...

   Zhixiong Wang, Ad Stoffelen, Chaofang Zhao, Jur Vogelzang, Anton Verhoef, Jeroen Verspeek, Mingsen Lin, Ge Chen | Journal: Journal of Geophysical Research: Oceans | Volume: 122 | Year: 2017 | doi: https://doi.org/10.1002/2016JC012619

   Publication

3. Bayesian Algorithm for Rain Detection in Ku-Band Scatterometer Data

   Ku-band scatterometers are sensitive to rain effects due to their centimeter-scale radar waveleng...

   Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264245

   Publication

4. A Conceptual Rain Effect Model for Ku-band Scatterometers

   Satellite scatterometer wind retrieval is affected by rain. Both the precipitating clouds in the ...

   Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264246

   Publication

5. 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