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@ARTICLE{Babaeian:820891,
author = {Babaeian, E. and Homaee, M. and Montzka, C. and Vereecken,
H. and Norouzi, A. A. and van Genuchten, M. Th.},
title = {{S}oil moisture prediction of bare soil profiles using
diffuse spectral reflectance information and vadose zone
flow modeling},
journal = {Remote sensing of environment},
volume = {187},
issn = {0034-4257},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2016-06155},
pages = {218 - 229},
year = {2016},
abstract = {Soil hydraulic property information of the vadose zone is
key to quantifying the temporal and spatial variability of
soil moisture, and for modeling water flow and contaminant
transport processes in the near surface. This study deals
with exploring the feasibility of using diffuse soil
spectral information in the visible, near-infrared and
shortwave infrared range (350–2500 nm) to estimate
coarse-scale soil hydraulic parameters and predict soil
moisture profiles using a topography-based aggregation
scheme in conjunction with a 1D mechanistic water flow
model. Three different types of parametric transfer
functions (so-called spectrotransfer functions, STFs;
pedotransfer functions, PTFs; and spectral pedotransfer
functions, SPTFs) were aggregated from the point scale to 1
km2 pixel size. to provide coarse scale estimates of van
Genuchten-Mualem (VGM) hydraulic parameters. The coarse
scale hydraulic parameters were evaluated by simulating soil
water dynamics of the 1 km2 pixels across the Zanjanrood
River sub-watershed (ZRS) in northwest Iran. Resultant soil
water states were compared with ground-truth measurements
and advanced synthetic aperture radar (ASAR) estimates of
soil water content. The topography-based aggregation scheme
was found to provide effective values of the VGM hydraulic
parameters across the ZRS study site. The coarse scale STFs
performed best in terms of simulating surface, near-surface
and subsurface soil water dynamics, followed by the coarse
scale SPTFs and PTFs, which performed similarly. The average
simulated soil water contents of the surface layer closely
correlated with ASAR estimates during relatively wet
periods. Simulated subsurface soil water dynamics matched
well with the ground-truth measurements. These findings
indicate the feasibility of using spectral data to predict
VGM hydraulic parameters and, ultimately, to predict soil
water dynamics at the larger scales.},
cin = {IBG-3},
ddc = {050},
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:000390494000016},
doi = {10.1016/j.rse.2016.10.029},
url = {https://juser.fz-juelich.de/record/820891},
}