[1463] - An empirical vegetation correction for soil water content quantification using cosmic ray probes

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Baatz, R., Bogena, H., Hendricks-Franssen, H., Huisman, J. A., Montzka, C., Vereecken, H., 2015. An empirical vegetation correction for soil water content quantification using cosmic ray probes. Water resources research, 2030 - 2046. DOI: 10.1002/2014WR016443.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: An empirical vegetation correction for soil water content quantification using cosmic ray probes
Description(s):Abstract: Cosmic ray probes are an emerging technology to continuously monitor soil water content at a scale significant to land surface processes. However, the application of this method is hampered by its susceptibility to the presence of aboveground biomass. Here we present a simple empirical framework to account for moderation of fast neutrons by aboveground biomass in the calibration. The method extends the N0-calibration function and was developed using an extensive data set from a network of 10 cosmic ray probes located in the Rur catchment, Germany. The results suggest a 0.9% reduction in fast neutron intensity per 1 kg of dry aboveground biomass per m2 or per 2 kg of biomass water equivalent per m2. We successfully tested the novel vegetation correction using temporary cosmic ray probe measurements along a strong gradient in biomass due to deforestation, and using the COSMIC, and the hmf method as independent soil water content retrieval algorithms. The extended N0-calibration function was able to explain 95% of the overall variability in fast neutron intensity.
Identifier(s):DOI: 10.1002/2014WR016443
Citation Advice:Baatz, R., H. R. Bogena, H. J. H. Franssen, J. A. Huisman, C. Montzka, and H. Vereecken (2015), An empirical vegetation correction for soil water content quantification using cosmic ray probes, Water Resour Res, 51(4), 2030-2046.
Responsible Party
Creator(s):Author: Roland Baatz
Author: Heye Bogena
Author: Harrie-Jan Hendricks-Franssen
Author: Johan A. Huisman
Author: Carsten Montzka
Author: Harry Vereecken
Publisher:AGU Publications
TR32 Topic:Soil
Related Sub-project(s):C6
Subject(s):CRC/TR32 Keywords: Cosmic Radiation
Topic Category:Environment
File Details
File Name:Baatz2015_wrcr21372.pdf
Data Type:Text
File Size:1195 kB (1.167 MB)
Date(s):Date Accepted: 2015-02-24
Mime Type:application/pdf
Data Format:PDF (final)
Download Permission:Free
Download Information:Open source
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Publication
Article Type:Journal
Source:Water resources research
Page Range:2030 - 2046
Metadata Details
Metadata Creator:Roland Baatz
Metadata Created:2016-05-18
Metadata Last Updated:2016-05-18
Funding Phase:2
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:486
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity