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@ARTICLE{Schneider:100,
author = {Schneider, K. and Huisman, J. A. and Breuer, L. and Zhao,
Y. and Frede, H.-G.},
title = {{T}emporal stability of soil moisture in various semi-arid
steppe ecosystems and its application in remote sensing},
journal = {Journal of hydrology},
volume = {359},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {PreJuSER-100},
year = {2008},
note = {The presented study within the project "Matter fluxes in
Inner Mongolia as influenced by stocking rate (MAGIM)", FG
536 was funded by the German Science Foundation (DFG). The
authors would like to thank Carsten Hoffmann and Markus
Steffens for providing soil data and all members of the
MAGIM research group for assistance during the field
campaign.},
abstract = {Monitoring soil moisture is often necessary in hydrological
studies on various scales. One of the challenges is to
determine the mean soil moisture of large areas with minimum
tabour and costs. The aim of this study is to test temporal
persistence of sample locations to decrease the number of
samples required to make reliable estimates of mean moisture
content in the top soil. Soil moisture data on four
experimental sites were collected during the vegetation
period in 2004-2006. The experimental sites are located in a
steppe environment in northern China, and are characterised
by different grazing management which causes differences in
vegetation cover. A total of 100 sampling points per site
were ranked with respect to their difference to field mean
soil moisture using the time-stability concept. We tested
whether: (a) representative sample locations exist that
predict field mean soil moisture to an acceptable degree,
and (b) these locations are time-stable beyond a single
vegetation period. Time-stable locations with a low
deviation from mean field soil moisture and tow standard
deviation were identified for each site. Although the
time-stability characteristics of some points varied between
years, the selected points were appropriate to predict mean
soil moisture of the sites for multiple years. On the field
scale, time-stability and the persistence of patterns were
analysed by the use of a Spearman rank correlation. The
analysis showed that persistence depended on grazing
management and the related plant cover. It is concluded that
the time-stability concept provides useful information for
the validation of hydrological or remote sensing models, or
for the upscaling of soil moisture information to larger
scales. A preliminary comparison of soil moisture
measurements derived from ground-truth and remote sensing
data showed that the data matched well in some cases, but
that the considerable difference in spatial extent promotes
differences in other cases. (C) 2008 Elsevier B.V. All
rights reserved.},
keywords = {J (WoSType)},
cin = {ICG-4},
ddc = {690},
cid = {I:(DE-Juel1)VDB793},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Engineering, Civil / Geosciences, Multidisciplinary / Water
Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000259462600002},
doi = {10.1016/j.jhydrol.2008.06.016},
url = {https://juser.fz-juelich.de/record/100},
}