作者: Nájila Souza da Rocha , Pâmela S. Käfer , Drazen Skokovic , Gustavo Veeck , Lucas Ribeiro Diaz
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摘要: Evapotranspiration (ET) is one of the least understood components hydrological cycle. Its applications are varied, from agricultural, ecological and monitoring, to control evolution climate change. The goal this work was analyze influence that uncertainties in estimate land surface temperature (Ts) can cause on ET estimates by S-SEBI model Pampa biome area. Also, specificities native grassland related energy balance were analyzed. results indicate daily evapotranspiration higher when pixel Ts lower, which also shows use variability ET. demonstrated less dependent estimation than other models reported literature, such as SEBS, not exceed 0.5 mm/day grasslands. between forest lower expected, demonstrating have Rio Grande do Sul same importance forests regarding processes cycle, since it covers 63% State.