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First 662 results for ” M.; Papadimas”

1. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor

   This paper presents an analysis of tropospheric NO2 column measurements from the TROPOspheric Mon...

   Georgoulias, A. K, Boersma, K.F., van Vliet, J., Zhang, X., van der A, R., Zanis, P., and de Laat, J | Journal: IOP Publishing Ltd | Volume: 15 | Year: 2020 | doi: 10.1088/1748-9326/abc445

   Publication

2. Towards a European Cal/Val service for earth observation

   Societal dependence on, and commercial and scientific exploitation of Earth-Oriented remote sensi...

   Sterckx, Sindy; Brown, Ian; Kääb, Andreas; Krol, Maarten; Morrow, Rosemary; Veefkind, Pepijn; Boersma, K. Folkert; De Mazière, Martine; Fox, Nigel; Thorne, Peter | Journal: International Journal of Remote Sensing | Year: 2020 | doi: https://doi.org/10.1080/01431161.2020.1718240

   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. Detecting Clouds Associated with Jet Engine Ice Crystal Icing

   In the past two decades, more than 150 jet engine power-loss and damage events have been attribut...

   A.T.J. de Laat | Journal: Bulletin of the American Meteorological Society | Volume: Volume 100: Issue 1 | Year: 2018 | First page: 31 | Last page: 40 | doi: 10.1175/BAMS-D-17-0252.1

   Publication

5. Toward the generation of a wind geophysical model function for spaceborne GNSS-R

   This paper presents a comprehensive procedure to improve the wind geophysical model function (GMF...

   Wenming Lin, Marcos Portabella, Giuseppe Foti, Ad Stoffelen, Christine Gommenginger, Yijun He | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 57 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2018.2859191

   Publication