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dc.contributor.author
Grosso, Carla
dc.contributor.author
Manoli, Gabriele
dc.contributor.author
Martello, Marco
dc.contributor.author
Chemin, Yann H.
dc.contributor.author
Pons, Diego H.
dc.contributor.author
Teatini, Pietro
dc.contributor.author
Piccoli, Ilaria
dc.contributor.author
Morari, Francesco
dc.date.accessioned
2018-10-16T14:49:26Z
dc.date.available
2018-10-13T08:45:47Z
dc.date.available
2018-10-16T14:49:26Z
dc.date.issued
2018-09
dc.identifier.issn
2072-4292
dc.identifier.other
10.3390/rs10091452
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/295663
dc.identifier.doi
10.3929/ethz-b-000295663
dc.description.abstract
The surface energy balance algorithm for land (SEBAL) has been successfully applied to estimate evapotranspiration (ET) and yield at different spatial scales. However, ET and yield patterns have never been investigated under highly heterogeneous conditions. We applied SEBAL in a salt-affected and water-stressed maize field located at the margin of the Venice Lagoon, Italy, using Landsat images. SEBAL results were compared with estimates of evapotranspiration by the Food and Agriculture Organization (FAO) method (ETc) and three-dimensional soil-plant simulations. The biomass production routine in SEBAL was then tested using spatially distributed crop yield measurements and the outcomes of a soil-plant numerical model. The results show good agreement between SEBAL evapotranspiration and ETc. Instantaneous ET simulated by SEBAL is also consistent with the soil-plant model results (R2 = 0.7047 for 2011 and R2 = 0.6689 for 2012). Conversely, yield predictions (6.4 t/ha in 2011 and 3.47 t/ha in 2012) are in good agreement with observations (8.64 t/ha and 3.86 t/ha, respectively) only in 2012 and the comparison with soil-plant simulations (8.69 t/ha and 5.49 t/ha) is poor. In general, SEBAL underestimates land productivity in contrast to the soil-plant model that overestimates yield in dry years. SEBAL provides accurate predictions under stress conditions due to the fact that it does not require knowledge of the soil/root characteristics.
en_US
dc.format
application/pdf
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
Surface energy balance algorithm for land (SEBAL)
en_US
dc.subject
Evapotranspiration
en_US
dc.subject
Yield
en_US
dc.subject
Remote seinsing
en_US
dc.subject
Heterogeneous conditions
en_US
dc.title
Mapping maize evapotranspiration at field scale using SEBAL
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-09-11
ethz.title.subtitle
A comparison with the FAO method and soil-plant model simulations
en_US
ethz.journal.title
Remote Sensing
ethz.journal.volume
10
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
Remote sens.
ethz.pages.start
1452
en_US
ethz.size
17 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02608 - Institut für Umweltingenieurwiss. / Institute of Environmental Engineering::03473 - Burlando, Paolo / Burlando, Paolo
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02608 - Institut für Umweltingenieurwiss. / Institute of Environmental Engineering::03473 - Burlando, Paolo / Burlando, Paolo
ethz.date.deposited
2018-10-13T09:05:47Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-10-16T14:49:36Z
ethz.rosetta.lastUpdated
2019-02-03T08:24:45Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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