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First 2653 results for ” Camille Chapeland”

1. Improving the Quikscat Derived Winds Near the Coast

   This paper describes some preliminary steps to improve the coastal winds retrieved from the Seawi...

   G Grieco, M Portabella, A Stoffelen, J Vogeltang, A Verhoef | Journal: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | Year: 2022 | doi: https://doi.org/10.1109/IGARSS46834.2022.9884598

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2. Scatterometer Sea Surface Wind Product Validation for HY-2C

   The Chinese HY-2C satellite was launched on Sep. 21, 2020, carrying the new Ku-band scatterometer...

   Zhixiong Wang, Juhong Zou, Ad Stoffelen, Wenming Lin, Anton Verhoef, Xiuzhong Li, Yijun He, Youguang Zhang, Mingsen Lin | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | doi: https://doi.org/10.1109/JSTARS.2021.3087742

   Publication

3. Towards Quikscat-Derived Coastal Winds

   This paper presents the implementation of the Land Contribution Ratio (LCR) methodology for the p...

   Giuseppe Grieco, Marcos Portabella, Ad Stoffelen, Jur Vogelzang, Anton Verhoef | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554946

   Publication

4. Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band

   This paper describes the adaptation of a Bayesian sea ice detection algorithm for the scatteromet...

   Inès Otosaka, Maria Belmonte Rivas, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 56 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2017.2777670

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5. Wind Retrievalfor Cfoscat Edge and Nadir Observations Based on Neural Networks And Improved Principle Component Analysis

   CFOSCAT is the first rotating fan-beam scatterometer in space. It is on board the China France Oc...

   Xingou Xu, Ad Stoffelen | Journal: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium | Year: 2019 | doi: https://doi.org/10.1109/IGARSS.2019.8898097

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