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@INPROCEEDINGS{vonHebel:859494,
author = {von Hebel, Christian and Matveeva, Maria and Verweij,
Elizabeth and Rascher, Uwe and Rademske, Patrick and Brogi,
Cosimo and Kaufmann, Manuela and Mester, Achim and
Vereecken, Harry and van der Kruk, Jan},
title = {{G}round-based quantitative electromagnetic induction
measurements and inversions show that patterns in airborne
hyperspectral data are caused by subsoil structures},
reportid = {FZJ-2019-00346},
year = {2018},
abstract = {Non-invasive geophysical fixed-boom multi-coil
electromagnetic induction (EMI) instruments return apparent
electrical conductivity (ECa) values that depend on
subsurface soil properties. Using different
transmitter-receiver coil separations and orientations, ECa
values of different depths of investigation (DOI) are
obtained. After calibration, the quantitative EMI data are
inverted to obtain electrical conductivity (σ) changes over
depth assuming a layered subsurface model. Airborne
hyperspectral measurements are used to estimate plant
performance and growth, however, the top- and subsoil
structural changes influencing plant performance and growth
is often ignored. Here, we have investigated the origin of
observed patterns in sun-induced fluorescence data by
performing quantitative large-scale EMI measurements and
quantitative inversions. The fixed-boom multi-coil EMI ECa
data of nine coil configurations indicated spatial patterns
due to buried paleo-river channels. After inversion, the
obtained layered quasi-3D electrical conductivity model
showed a relatively homogeneous ploughing layer and the
presence of the paleo-river channels at > 1 m depth.
Contrary to often used assumptions, σ of the ploughing
layer only showed minor correlation to fluorescence data (r
~ 0.35), while the subsoil returned a significant
correlation (r ~ 0.65) indicating a substantial influence of
the subsoil on the plant performance, especially during dry
periods which is probably due to differences in soil water
holding capacity. For the first time, we have related
soil-depth specific 3D subsurface information obtained by
quantitative multi-coil EMI data inversions with sun-induced
fluorescence data and have shown that above surface plant
performance is caused by subsoil structural changes.
Consequently, the subsurface structures should be
incorporated in plant modeling as well as in terrestrial
system modeling tools to improve the understanding of
soil-vegetation-atmosphere exchange processes.},
month = {Apr},
date = {2018-04-04},
organization = {TR32 Conference: Terrestrial Systems
Research: Monitoring, Prediction $\&$
High Performance Computing, Bonn
(Germany), 4 Apr 2018 - 6 Apr 2018},
subtyp = {After Call},
cin = {IBG-3 / ZEA-2},
cid = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)ZEA-2-20090406},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/859494},
}