Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073988
Research center of Embrapa/Collection: Embrapa Territorial - Artigo em periódico indexado (ALICE)
Date Issued: 2017
Type of Material: Artigo em periódico indexado (ALICE)
Authors: TEIXEIRA, A. H. de C.
LEIVAS, J. F.
HERNANDEZ, F. B. T.
FRANCO, R. A. M.
Additional Information: ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA; JANICE FREITAS LEIVAS, CNPM; FERNANDO BRAZ TANGERINO HERNANDEZ, UNESP; RENATO ALBERTO MOMESSO FRANCO, UNESP.
Title: Large-scale radiation and energy balances with Landsat 8 images and agrometeorological data in the Brazilian semiarid region.
Publisher: Journal of Applied Remote Sensing, v. 11, n. 1, jan./mar. 2017.
Pages: p. 016030-1-016030-15.
Language: en
Keywords: Energy partition
Net radiation
Latent heat flux
Sensible heat flux
Soil heat flux.
Description: Aiming to subsidize the rational water resources management, four Landsat 8 (L8) images along different conditions of the year 2014 were used for modeling the radiation and energy balances in the mixed agroecosystems inside a Brazilian reference semiarid area. The SAFER algorithm was applied to calculate the latent heat flux (λE); net radiation (Rn) was acquired by the Slob equation; ground heat flux (G) was considered a fraction of Rn; and the sensible heat flux (H) was retrieved by residue in the energy balance equation. For classifying the vegetation, the surface resistance algorithm (SUREAL) was used to estimate the surface resistance to the water fluxes (rs) with threshold values for rs. Clearly, one could see higher λE values from irrigated crops (ICs) than those for natural vegetation (NV) with some situations of heat horizontal advection. The respective λE, H, and G average ratios to Rn for the ICs ecosystem were 64% to 79%, 18% to 28%, and 3%, respectively. For the NV ecosystem, the corresponding fractions were 4% to 37%, 60% to 94%, and 4%, respectively. The algorithms proved to have strong sensibility to quantifying the large-scale energy and mass exchanges by applying L8 images in mixed agroecosystems of semiarid environments.
Data Created: 2017-08-14
Appears in Collections:Artigo em periódico indexado (CNPM)

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