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@ARTICLE{Babaeian:203408,
author = {Babaeian, Ebrahim and Homaee, Mehdi and Vereecken, Harry
and Montzka, Carsten and Norouzi, Ali Akbar and van
Genuchten, Martinus Th.},
title = {{A} {C}omparative {S}tudy of {M}ultiple {A}pproaches for
{P}redicting the {S}oil–{W}ater {R}etention {C}urve:
{H}yperspectral {I}nformation vs. {B}asic {S}oil
{P}roperties},
journal = {Soil Science Society of America journal},
volume = {79},
number = {4},
issn = {0361-5995},
address = {Madison, Wis.},
publisher = {SSSA},
reportid = {FZJ-2015-05351},
pages = {1043-1058},
year = {2015},
abstract = {Information about the soil–water retention curve is
necessary for modeling water flow and solute transport
processes in soils. Soil spectroscopy in the visible,
near-infrared, and shortwave infrared (Vis-NIR-SWIR) range
has been widely used as a rapid, cost-effective and
nondestructive technique to predict soil properties.
However, less attention has been paid to predict soil
hydraulic properties using soil spectral data. In this
paper, spectral reflectances of soil samples from the
Zanjanrood watershed, Iran, were measured in the
Vis-NIR-SWIR ranges (350–2500 nm). Stepwise multiple
linear regression coupled with the bootstrap method was used
to construct predictive models and to estimate the
soil–water retention curve. We developed point and
parametric transfer functions based on the van Genuchten
(VG) and Brooks-Corey (BC) soil hydraulic models. Three
different types of transfer functions were developed: (i)
spectral transfer functions (STFs) that relate VG/BC
hydraulic parameters to spectral reflectance values, (ii)
pedotransfer function (PTFs) that use basic soil data as
input, and (iii) PTFs that consider spectral data and basic
soil properties, further referred to as spectral
pedotransfer functions (SPTFs). We also derived and
evaluated point transfer functions which estimate
soil–water contents at specific matric potentials. The
point STFs and SPTFs were found to be accurate at low and
intermediate water contents (R2 > 0.50 and root mean squared
error [RMSE] < 0.018 cm3 cm−3), while the point PTFs
performed better close to saturation. The parametric STFs
and SPTFs of both the VG and BC models performed similarly
to parametric PTFs in estimating the retention curve. The
best predictions of soil–water contents were obtained for
all the three transfer functions when the VG and BC
retention models were fitted to the retention points
estimated by the point transfer functions. Overall, our
findings indicate that spectral data can provide useful
information to predict soil—water contents and the
soil–water retention curve. However, there is a need to
extend and validate the derived transfer functions to other
soils and regions.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000361048300005},
doi = {10.2136/sssaj2014.09.0355},
url = {https://juser.fz-juelich.de/record/203408},
}