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The evapotranspiration is the phenomenon responsible for defining the transference of water from the soil-plant system to the atmosphere. It can be estimated through images obtained through remote sensing techniques, allowing the planning of proper water use, besides contributing to studies regarding environmental changes. The research has as objective to apply the SEBAL (Surface Energy Balance Algorithms of Land) model to estimate the actual evapotranspiration from biophysical parameters measured by remote sensing and geoprocessing in different watersheds. After the implementation of SEBAL in 38 Landsat8 scenes from May 2018 to September 2019, a very good performance index was observed for daily and seasonal data, whereas for the instantaneous evapotranspiration the model still demands adjustments. The daily reference values (ETo) varied from 1.97 mm in winter to 8.16 mm in summer, while the actual evapotranspiration values (ETr) varied from 3.68 mm in winter to 7.08 mm in spring, with the ETr presenting itself 33% inferior to the reference values. Considering the rainfall, the ETr corresponds to 74% of the annual value and indicates that the model is able to estimate these values in scale of 1:150.000 with inferior errors to 15%. [ABSTRACT FROM AUTHOR]

The research aimed to identify hierarchical levels of environmental fragility in the Geographical Microregion Rio Vermelho (GO), to support decision-making and planning for the sustainable use of natural resources. For this purpose, the methodological proposal of Ross (1994) was adopted, using the variables of relief dissection, rainfall, soil class and land use and land cover. Geotechnologies were used to determine synthesis information regarding Potential and Emerging Fragility. The results for Potential Fragilty presented four hierarchical classes: very low class (37.57%), medium class (32.81%), low class (29.13%) and high class (0.49%). For Emerging Fragilty, three hierarchical frailty classes were generated, predominantly the low class (69.04%), followed by the medium class (30.94%) and high class (0.02%). [ABSTRACT FROM AUTHOR]