An empirical vegetation correction for soil water content quantification using cosmic ray probes

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Title:Main Title: An empirical vegetation correction for soil water content quantification using cosmic ray probes
Description: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:10.1002/2014WR016443 (DOI)
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
Creators:Roland Baatz (Author), Heye Bogena (Author), Harrie-Jan Hendricks-Franssen (Author), Johan A. Huisman (Author), Carsten Montzka (Author), Harry Vereecken (Author)
Publisher:AGU Publications
Publication Year:2016
TR32 Topic:Soil
Related Subproject:C6
Subject:Keyword: Cosmic Radiation
Geogr. Information Topic:Environment
File Details
Data Type:Text - Article
File Size:1.2 MB
Date:Accepted: 24.02.2015
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
Specific Information - Publication
Publication Status:Accepted
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Water resources research
Number of Pages:17 (2030 - 2046)
Metadata Details
Metadata Creator:Roland Baatz
Metadata Created:18.05.2016
Metadata Last Updated:18.05.2016
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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