Michiel Pezij; D.C.M. (Denie) Augustijn; Hendriks, D.M.D. (Dimmie); Hulscher, S.J.M.H. (Suzanne) (2019): Data underlying the publication: Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:ba33fc56-e07b-4547-9630-9b1565d18040

Dataset

• Land and Water Management
• Environmental Science and Management

Data-driven modelling, Hydrology, Remote sensing, Soil moisture, Transfer function-noise modelling, Unsaturated zone, Water management

view on openstreetmap

2016/2018

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Michiel Pezij , D.C.M. (Denie) Augustijn , D.M.D. (Dimmie) Hendriks, S.J.M.H. (Suzanne) Hulscher

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.

• 2019-10-28 first online, published, posted

4TU.Centre for Research Data

media types: application/vnd.google-earth.kml+xml, application/zip, text/csv, text/plain, text/x-python

• NWO-TTW, 13871

University of Twente, Faculty of Engineering Technology, Department of Water Engineering & Management