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First 1060 results for ” Signe Aaboe”

  1. Rigorous test of the performance of shear-wave velocity correlations derived from CPT soundings: A case study for Groningen, the Netherlands

    An improved correlation between shear-wave velocity VS and cone penetration test (CPT) parameters...

    PP Kruiver, G de Lange, F Kloosterman, M Korff, J van Elk, D Doornhof | Status: published | Journal: Soil Dynamics and Earthquake Engineering | Volume: 140 | Year: 2021 | doi: 10.1016/j.soildyn.2020.106471

    Publication

  2. In-flight calibration results of the TROPOMI payload on board the Sentinel-5 Precursor satellite

    After the launch of the Sentinel-5 Precursor satellite on 13 October 2017, its single payload, th...

    A Ludewig, QL Kleipool, R Bartstra, RP Landzaat, J Leloux, GE Loots, P Meijering, EV van der Plas, NC Rozemeijer, F Vonk, JP Veefkind | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 3561 | Last page: 3580 | doi: 10.5194/amt-13-3561-2020

    Publication

  3. Enhanced Capabilities of TROPOMI NO2: Estimating NOX from North American Cities and Power Plants

    The TROPOspheric Monitoring Instrument (TROPOMI) is used to derive top-down NOX emissions for two...

    DL Goldberg, Z Lu, DG Streets, B de Foy, D Griffin, CA McLinden, LN Lamsal, NA Krotkov, H Eskes | Status: published | Journal: Environmental Science & Technology | Volume: 21 | Year: 2019 | First page: 12594 | Last page: 12601 | doi: https://doi.org/10.1021/acs.est.9b04488

    Publication

  4. Modeling spatio-temporal land transformation and its associated impacts on land surface temperature (LST)

    Land use land cover (LULC) of city regions is strongly affected by urbanization and affects the t...

    FY Mumtaz, Y Tao, G de Leeuw, L Zhao, C Fan, A Elnashar, B Bashir, G Wang, LL Li, S Naeem, A Arshad | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 23 | doi: doi:10.3390/rs12182987

    Publication

  5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

    The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

    X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

    Publication