Utilização do Algoritmo Sebal para o cálculo das componentes do balanço de energia em uma região de savana em Santarém, Pará, Brasil
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Data
2020-02-28Autor
http://lattes.cnpq.br/8755029354433462
https://orcid.org/0000-0003-4180-6505
MELO, Carlos Manoel Rocha
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Mostrar registro completoResumo
The Amazonian diversity results from a balanced relationship between biotic and abiotic
factors, so any change in the climate can cause changes in the lives of populationsThe Amazon
is characterized by the presence of the tropical forest, but there are areas with characteristics
similar to the cerrados. Driven by man's action, these areas would be expanding, leading the
place to a process of savanna that could result in climate change. In this context, the present
work seeks to characterize the components of the radiation and energy balances in Savanna
areas in the Amazon. The study site will be an Amazonian Savannah area, in Santarém, Pará,
using multispectral image data from the MODIS sensor, on board the TERRA satellite,
obtained free of charge on the LPDAAC / USGS website (https://lpdaac.usgs.gov/ ). After
image processing, the Surface Energy Balance Algorithm for Land (SEBAL) algorithm will
be applied, which, through computational routines, provides the components of radiation and
energy balance. The present study confirmed results of greater short wave reflection (Albedo)
and greater propagation of long wave radiation from surface to atmosphere, thus higher heat
emissions to the atmosphere and reduction in radiation balance in the Savannah area in relation
to the forest. There was a reduction in the latent heat flow (LE) and an increase in the sensitive
heat flow (H) and soil (G) in relation to the forest. The energy balance showed a greater
percent of energy being used for LE, about 55,6 %, justified by the good availability of water
in the open environment, followed by H with 31,5 % and G with 12,9 %, the latter confirms
its importance for a better closing of the energy balance.