Energy Balance in Forest, Natural Field and Agricultural Area in the Municipality of Humaita-AM/Balanco de Energia em Floresta, Campo Natural e Area Agricola no Municipio de Humaita-AM

The climatic consequences of changes in forest areas can be assessed through the analysis of the Surface Energy Balance, through either in situ measurements or Remote data modeling, such as those carried out by SEBAL. Thus, this work aimed to analyze the variation in the energy balance on the surface in a farm area, natural field and forest for the region of Humaita, AM, Brazil. The satellite data was collected in the years 2000, 2005, 2015 and 2020 and processed in geeSebal. The automatic calibration technique was performed to identify the hot and cold pixels. The energy balance variables were estimated using the simplified version of the Calibration Using Inverse Modeling at Extreme Conditions algorithm, developed for the METRIC model and applicable to the SEBAL algorithm. Statistical analysis was performed using descriptive statistics, using the Kruskal-Wallis test and Dunn's post-hoc test. The results showed that soil heat flux and sensible heat flux were lower in forests and higher in fields and farms. The latent heat flux and net radiation assumed the highest values in forests and lowest in fields and farms. The post-hoc Dunn test showed a similarity between the fields and farm areas. Finally, the SEBAL model satisfactorily estimated the components of the energy balance at the surface, in addition to highlighting the increase in sensible heat and the decrease in latent heat for the study areas. Keywords: Energy fluxes, SEBAL, Climate, Remote Sensing. As consequencias climaticas das alteracoes de areas de florestas podem ser avaliadas atraves da analise do Balanco de Energia em Superficie, seja por medidas in loco ou modelagem de dados remoto, como as realizadas pelo SEBAL. Assim, este trabalho teve como objetivo analisar a variacao do balanco de energia na superficie em area de fazenda, campo natural e floresta para a regiao de Humaita, AM, Brasil. Os dados de satelite foram coletados nos anos de 2000, 2005, 2015 e 2020 e processados no geeSebal. A tecnica de calibracao automatica foi utilizada para identificar os pixels quente e frio. As variaveis do balanco de energia foram estimadas atraves da versao simplificada do algoritmo Calibration Using Inverse Modeling at Extreme Conditions, desenvolvido para o modelo METRIC e aplicavel ao algoritmo SEBAL. A analise estatistica foi realizada atraves da estatistica descritiva, por meio do teste Kruskal-Wallis e o teste post-hoc de Dunn. Os resultados mostraram que o fluxo de calor no solo e o fluxo de calor