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Open AccessArticle

The Influence of Land Surface Temperature in Evapotranspiration Estimated by the S-SEBI Model

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Programa de Pós-graduação em Sensoriamento Remoto (PPGSR), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90650-001, Brazil
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Unidad de Cambio Global (UCG), Image Processing Laboratory (IPL), University of Valencia (UVEG), 46980 Valencia, Spain
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Departamento de Física, Universidade Federal de Santa Maria (UFSM), Santa Maria 97105-900, Brazil
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Laboratório Interdisciplinar de Ciências Ambientais (LICA), Universidade Federal do Pampa, São Gabriel 97300-162, Brazil
*
Authors to whom correspondence should be addressed.
Atmosphere 2020, 11(10), 1059; https://doi.org/10.3390/atmos11101059
Received: 6 August 2020 / Revised: 2 September 2020 / Accepted: 16 September 2020 / Published: 5 October 2020
(This article belongs to the Section Biosphere/Hydrosphere/Land–Atmosphere Interactions)
Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its applications are varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of land surface temperature (Ts) can cause on ET estimates by S-SEBI model in the Pampa biome area. Also, the specificities of native grassland of Pampa biome related to energy balance were analyzed. The results indicate that the daily evapotranspiration is higher when the pixel Ts is lower, which also shows the influence of land use on the variability of ET. The results demonstrated that the S-SEBI is less dependent on Ts estimation than other models reported in the literature, such as the SEBS, which not exceed 0.5 mm/day in grasslands. The evapotranspiration variability between forest and grassland were lower than expected, demonstrating that the Pampa biome have in Rio Grande do Sul the same importance that forests regarding to the processes of the hydrological cycle, since it covers 63% of the State. View Full-Text
Keywords: pampa biome; latent heat flux; thermal infra-red pampa biome; latent heat flux; thermal infra-red
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Rocha, N.S.; Käfer, P.S.; Skokovic, D.; Veeck, G.; Diaz, L.R.; Kaiser, E.A.; Carvalho, C.M.; Cruz, R.C.; Sobrino, J.A.; Roberti, D.R.; Rolim, S.B.A. The Influence of Land Surface Temperature in Evapotranspiration Estimated by the S-SEBI Model. Atmosphere 2020, 11, 1059.

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