Arid
DOI10.1016/j.jaridenv.2021.104513
Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach
Douna, V; Barraza, V; Grings, F.; Huete, A.; Restrepo-Coupe, N.; Beringer, J.
Corresponding AuthorDouna, V (corresponding author), UBA CONICET, Inst Astron & Fis Espacio IAFE, Ciudad Univ, Buenos Aires, DF, Argentina.
JournalJOURNAL OF ARID ENVIRONMENTS
ISSN0140-1963
EISSN1095-922X
Year Published2021
Volume191
Abstract in EnglishIn this work we have developed a random forest regressor to predict daily evapotranspiration in three eddycovariance 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 similar to 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 similar to 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.
Keyword in EnglishEvapotranspiration Remote sensing Random forest Australia
SubtypeArticle
Language英语
Indexed BySCI-E
WOS IDWOS:000660573200002
WOS KeywordLATENT-HEAT FLUX ; LAND-SURFACE TEMPERATURE ; UPSCALING EVAPOTRANSPIRATION ; SPATIAL VARIABILITY ; SAVANNA VEGETATION ; BIOMASS ESTIMATION ; ARID AREA ; WATER ; SATELLITE ; MODIS
WOS SubjectEcology ; Environmental Sciences
WOS Research AreaEnvironmental Sciences & Ecology
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/350714
Affiliation[Douna, V; Barraza, V; Grings, F.] UBA CONICET, Inst Astron & Fis Espacio IAFE, Ciudad Univ, Buenos Aires, DF, Argentina; [Huete, A.; Restrepo-Coupe, N.] Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia; [Restrepo-Coupe, N.] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ USA; [Beringer, J.] Univ Western Australia, Sch Agr & Environm, Crawley, WA, Australia
Recommended Citation
GB/T 7714
Douna, V,Barraza, V,Grings, F.,et al. Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach[J],2021,191.
APA Douna, V,Barraza, V,Grings, F.,Huete, A.,Restrepo-Coupe, N.,&Beringer, J..(2021).Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach.JOURNAL OF ARID ENVIRONMENTS,191.
MLA Douna, V,et al."Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach".JOURNAL OF ARID ENVIRONMENTS 191(2021).
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