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@ARTICLE{Tewes:874488,
author = {Tewes, Andreas and Hoffmann, Holger and Nolte, Manuel and
Krauss, Gunther and Schäfer, Fabian and Kerkhoff, Christian
and Gaiser, Thomas},
title = {{H}ow {D}o {M}ethods {A}ssimilating {S}entinel-2-{D}erived
{LAI} {C}ombined with {T}wo {D}ifferent {S}ources of {S}oil
{I}nput {D}ata {A}ffect the {C}rop {M}odel-{B}ased
{E}stimation of {W}heat {B}iomass at {S}ub-{F}ield {L}evel?},
journal = {Remote sensing},
volume = {12},
number = {6},
issn = {2072-4292},
address = {Basel},
publisher = {MDPI},
reportid = {FZJ-2020-01467},
pages = {925 -},
year = {2020},
note = {Grant Agrarsysteme der Zukunft: DAKIS —Digitales Wissens-
und Informationssystem für die Landwirtschaft, Teilprojekt
FFörderkennzeichen: 031B0729F},
abstract = {The combination of Sentinel-2 derived information about
sub-field heterogeneity of crop canopy leaf area index (LAI)
and SoilGrids-derived information about local soil
properties might help to improve the prediction accuracy of
crop simulation models at sub-field level without prior
knowledge of detailed site characteristics. In this study,
we ran a crop model using either soil texture derived from
samples that were taken spatially distributed across a field
and analyzed in the lab (AS) or SoilGrids-derived soil
texture (SG) as model input in combination with different
levels of LAI assimilation. We relied on the LINTUL5 model
implemented in the SIMPLACE modeling framework to simulate
winter wheat biomass development in 40 to 60 points in each
field with detailed measured soil information available, for
14 fields across France, Germany, and the Netherlands during
two growing seasons. Water stress was the only
growth-limiting factor considered in the model. The model
performance was evaluated against total aboveground biomass
measurements at harvest with regard to the average per-field
prediction and the simulated spatial variability within the
field. Our findings showed that a) per-field average biomass
predictions of SG-based modeling approaches were not
inferior to those using AS-texture as input, but came with a
greater prediction uncertainty, b) relying on the generation
of an ensemble without LAI assimilation might produce
results as accurate as simulations where LAI is assimilated,
and c) sub-field heterogeneity was not reproduced well in
any of the fields, predominantly because of an inaccurate
simulation of water stress in the model. We conclude that
research should be devoted to the testing of different
approaches to simulate soil moisture dynamics and to the
testing in other sites, potentially using LAI products
derived from other remotely sensed imagery.},
cin = {IBG-3},
ddc = {620},
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:000526820600027},
doi = {10.3390/rs12060925},
url = {https://juser.fz-juelich.de/record/874488},
}