Journal Article

FZJ-2015-05168

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png An empirical vegetation correction for soil water content quantification using cosmic ray probes

Baatz, R. (Corresponding author)FZJ* ; Bogena, H.FZJ* ; Hendricks-Franssen, H.-J.FZJ* ; Huisman, J. A.FZJ* ; Montzka, C.FZJ* ; Vereecken, H.FZJ*

2015
AGU Washington, DC

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Please use a persistent id in citations: http://hdl.handle.net/2128/9028  doi:10.1002/2014WR016443

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.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2015

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Database coverage:
; ; ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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