ZIPCSVTXTPYTHON
Data underlying the publication: Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data
FR
4TU.Centre for Research Datavia 4TU.ResearchData (via DataCite) · bijgewerkt 28 oktober 2019
Wat erin zit
This dataset includes the input data, Python scripts, and Pastas model output for the scientific manuscript "Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data". The manuscript is currently under review. The data covers the years 2016, 2017, and 2018. We refer to the readme file included in the dataset for further details.
Bestanden en diensten
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