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dc.contributor.author
Douna, Vanesa Mariel
dc.contributor.author
Barraza Bernadas, Verónica Daniela
dc.contributor.author
Grings, Francisco Matias
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Huete, A.
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Restrepo Coupe, N.
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Beringer, J.
dc.date.available
2022-12-15T11:25:35Z
dc.date.issued
2021-08
dc.identifier.citation
Douna, Vanesa Mariel; Barraza Bernadas, Verónica Daniela; Grings, Francisco Matias; Huete, A.; Restrepo Coupe, N.; et al.; Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 191; 8-2021; 1-15
dc.identifier.issn
0140-1963
dc.identifier.uri
http://hdl.handle.net/11336/181246
dc.description.abstract
In this work we have developed a random forest regressor to predict daily evapotranspiration in three eddy-covariance sites in Northern Australia from in-situ meteorological data and fluxes, and satellite leaf area index and land surface temperature data. The variable analysis for the random forest regressor suggests that leaf area index is the most important one at this temporal scale. A development sample corresponding to the period 2010–2013 was used, while the year 2014 has been separated for testing. Using this approach, we have obtained satisfactory performances in the three sites, with RMSE errors around 1 mm/day (and relative RMSEs ~0.3) in comparison to the measured values. With the final aim of testing the predictive capability of a model that uses remote sensing data as input, regressors that predict evapotranspiration exclusively from leaf area index and land surface temperature, have been trained resulting in reasonable performances. The RMSEs over the test set are ~1.1−1.2 mm/day. In all cases, the errors are comparable to those obtained in previous works that use similar locations and different methods. When compared to the measured values, the random forest predictions of evapotranspiration are more accurate than the global MODIS ET 8-day 1 km product, which was used as benchmark for the performance evaluation of our models, in the three selected locations.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Ltd - Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AUSTRALIA
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EVAPOTRANSPIRATION
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RANDOM FOREST
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REMOTE SENSING
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-23T10:12:07Z
dc.journal.volume
191
dc.journal.pagination
1-15
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Douna, Vanesa Mariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Barraza Bernadas, Verónica Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Grings, Francisco Matias. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Huete, A.. University of Western Australia; Australia
dc.description.fil
Fil: Restrepo Coupe, N.. University of Western Australia; Australia
dc.description.fil
Fil: Beringer, J.. University of Western Australia; Australia
dc.journal.title
Journal of Arid Environments
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0140196321000793
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jaridenv.2021.104513
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