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First 1589 results for ” S. Bastin”

  1. Generalization of Ku-Band False-Alarm Reduction Method and Application to Cscat

    Space-borne scatterometer observations are well-known ocean surface wind remote sensing instrumen...

    Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium | Year: 2020 | doi: https://doi.org/10.1109/IGARSS39084.2020.9323921

    Publication

  2. Validation of the NSCAT-5 Geophysical Model Function for Scatsat-1 Wind Scatterometer

    Recent developments on the wind geophysical model function (GMF) of Ku-band scatterometers includ...

    Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef, Zhixiong Wang | Journal: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium | Year: 2018 | doi: https://doi.org/10.1109/IGARSS.2018.8517739

    Publication

  3. Toward an Improved Wind Inversion Algorithm for RapidScat

    The sea-surface winds from the RapidScat scatterometer (RSCAT) onboard the International Space St...

    Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 10 | Year: 2017 | doi: https://doi.org/10.1109/JSTARS.2016.2616889

    Publication

  4. WFCatalog: a catalogue for seismological waveform data

    This paper reports advances in seismic waveform description and discovery leading to a new seismo...

    Luca Trani, Mathijs Koymans, Malcolm Atkinson, Reinoud Sleeman and Rosa Filgueira | Status: submitted | Journal: Computers and Geosciences | Volume: 106 | Year: 2017 | First page: 101 | Last page: 108 | doi: https://doi.org/10.1016/j.cageo.2017.06.008

    Publication

  5. 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