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First 985 results for ” Beatrice; Ntsangwane”

1. The 2010 Haiti earthquake revisited: An acoustic intensity map from remote atmospheric infrasound observations

   In the days following the January 12, 2010 Mw 7 Haiti earthquake the shaking intensity near the e...

   S Shani-Kadmiel, G Averbuch, PSM Smets, JD Assink, LG Evers | Journal: Earth and Planetary Science Letters | Volume: 560 | Year: 2021 | doi: 10.1016/j.epsl.2021.116795

   Publication

2. 3D S-wave velocity imaging of Reykjanes Peninsula high-enthalpy geothermal fields with ambient-noise tomography

   Tomographic imaging based on ambient seismic noise measurements has shown to be a powerful tool, ...

   JE Martins, C Weemstra, EN Ruigrok, A Verdel, P Jousset, GP Hersir | Status: published | Journal: Journal of Volcanology and Geothermal Research | Volume: 391 | Year: 2020 | doi: https://doi.org/10.1016/j.jvolgeores.2019.106685

   Publication

3. 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

4. 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

5. 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

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