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First 1949 results for ”A Verhoef”

  1. First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation

    FY-3E WindRAD (Fengyun-3E Wind Radar) is a dual-frequency rotating fan-beam scat-terometer. Its d...

    Zhen Li, Anton Verhoef, Ad Stoffelen, Jian Shang, Fangli Dou | Journal: Remote Sensing | Volume: 15 | Year: 2023 | First page: 2087 | doi: https://doi.org/10.3390/rs15082087

    Publication

  2. SeaWinds-derived winds in coastal areas

    This paper presents a new methodology to improve the sampling of coastal winds derived from the S...

    Giuseppe Grieco; Ad Stoffelen; Anton Verhoef; Jur Vogelzang; Marcos Portabella | Journal: 2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) | Year: 2023 | doi: 10.1109/MetroSea58055.2023.10317269

    Publication

  3. Research and Development in Europe on Global Application of the OceanSat-2 Scatterometer Winds

    Final report of the project initiated in response to the Indian Space Research Organisation (ISRO...

    A Stoffelen, A Verhoef, J Verspeek, J Vogelzang, T Driesenaar, Y Risheng, C Payan, G De Chiara, J Cotton, A Bentamy, M Portabella, GJ Marseille | Year: 2013

    Publication

  4. Higher-order calibration on WindRAD (Wind Radar) scatterometer winds

    WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E ...

    Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, Honggang Yin | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4769 | Last page: 4783 | doi: https://doi.org/10.5194/amt-16-4769-2023

    Publication

  5. 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