THE EVALUATION OF THE INFLUENCE OF LAND SURFACE TEMPERATURE IN ENERGY BALANCE ESTIMATED BY S-SEBI MODEL
- 1UFRGS (Federal University of Rio Grande do Sul), Laboratório de Sensoriamento Geológico (LabSRGeo), Postgraduate in Remote Sensing, Porto Alegre (RS), Brazil
- 2UV (University of Valencia), Unidad de Cambio Global (UCG), Image Processing Laboratory (IPL), Valencia, Spain
- 3UFSM (Federal University of Santa Maria), Department of Physics, Santa Maria (RS), Brazil
- 4UNIPAMPA (Federal University of Pampa), Laboratorio Interdisciplinar de Ciências Ambientais (LICA), São Gabriel (RS), Brazil
- 5Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City 700000, Vietnam
Keywords: Pampa Biome, Latent Heat Flux, Evapotranspiration, LST, Climate Change, Thermal Infra-red
Abstract. Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is 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 (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI model, because when there are uncertainties in estimates of LST, the errors in the estimates of the energy components multiply. The Pampa Biome native grass crops have lower Latent Heat Flux (LET) than other land uses, with higher values of LET during the spring-summer period when compared to autumn-winter.