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dc.contributor.author
Yuzugullu, Onur
dc.contributor.author
Erten, Esra
dc.contributor.author
Hajnsek, Irena
dc.date.accessioned
2017-10-26T07:37:20Z
dc.date.available
2017-10-06T02:58:55Z
dc.date.available
2017-10-16T09:29:08Z
dc.date.available
2017-10-26T07:37:20Z
dc.date.issued
2017-06-09
dc.identifier.other
10.3390/app7060602
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/191227
dc.identifier.doi
10.3929/ethz-b-000191227
dc.description.abstract
Rice fields have been monitored with spaceborne Synthetic Aperture Radar (SAR) systems for decades. SAR is an essential source of data and allows for the estimation of plant properties such as canopy height, leaf area index, phenological phase, and yield. However, the information on detailed plant morphology in meter-scale resolution is necessary for the development of better management practices. This letter presents the results of the procedure that estimates the stalk height, leaf length and leaf width of rice fields from a copolar X-band TerraSAR-X time series data based on a priori phenological phase. The methodology includes a computationally efficient stochastic inversion algorithm of a metamodel that mimics a radiative transfer theory-driven electromagnetic scattering (EM) model. The EM model and its metamodel are employed to simulate the backscattering intensities from flooded rice fields based on their simplified physical structures. The results of the inversion procedure are found to be accurate for cultivation seasons from 2013 to 2015 with root mean square errors less than 13.5 cm for stalk height, 7 cm for leaf length, and 4 mm for leaf width parameters. The results of this research provided new perspectives on the use of EM models and computationally efficient metamodels for agriculture management practices.
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
radiative transfer models
en_US
dc.subject
polarimetry
en_US
dc.subject
rice monitoring
en_US
dc.subject
metamodels
en_US
dc.subject
electromagnetic scattering models
en_US
dc.subject
precision agriculture
en_US
dc.subject
stochastic optimization
en_US
dc.subject
SAR
en_US
dc.title
A Multi-Year Study on Rice Morphological Parameter Estimation with X-Band Polsar Data
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Applied Sciences (Switzerland)
ethz.journal.volume
7
en_US
ethz.journal.issue
6
en_US
ethz.pages.start
602
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-10-06T02:59:09Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-10-16T09:29:13Z
ethz.rosetta.lastUpdated
2018-08-03T01:45:39Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20Multi-Year%20Study%20on%20Rice%20Morphological%20Parameter%20Estimation%20with%20X-Band%20Polsar%20Data&rft.jtitle=Applied%20Sciences%20(Switzerland)&rft.date=2017-06-09&rft.volume=7&rft.issue=6&rft.spage=602&rft.au=Yuzugullu,%20Onur&Erten,%20Esra&Hajnsek,%20Irena&rft.genre=article&
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