Optimal temporal filtering of the cosmic-ray neutron signal to reduce soil moisture uncertainty

HIGHLIGHTS

  • who: Patrick Davies and colleagues from the Department of Meteorology and Climate Science, Kwame Nkrumah University of Science Technology, Mu00fcncheberg, Germany have published the paper: Optimal Temporal Filtering of the Cosmic-Ray Neutron Signal to Reduce Soil Moisture Uncertainty, in the Journal: Sensors 2022, 22, 9143. of /2022/
  • what: This study shows CRNS signal processing methods to improve the accuracy of the signal to observe sub-daily changes in soil moisture and improve the signal-to-noise ratio overall. This study investigates the effectiveness of the Moving Average (MA) Median (MF) Savitzky-Golay (SG) and_ . . .

     

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