22 February 2017 Large-scale radiation and energy balances with Landsat 8 images and agrometeorological data in the Brazilian semiarid region
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Abstract
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 ( λ E ); net radiation ( R n ) was acquired by the Slob equation; ground heat flux ( G ) was considered a fraction of R n ; 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 ( r s ) with threshold values for r s . Clearly, one could see higher λ E values from irrigated crops (ICs) than those for natural vegetation (NV) with some situations of heat horizontal advection. The respective λ E , H , and G average ratios to R n 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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Antônio Heriberto de Castro Teixeira, Janice Freitas Leivas, Fernando Braz Tangerino Hernandez, Renato Alberto Momesso Franco, "Large-scale radiation and energy balances with Landsat 8 images and agrometeorological data in the Brazilian semiarid region," Journal of Applied Remote Sensing 11(1), 016030 (22 February 2017). https://doi.org/10.1117/1.JRS.11.016030 . Submission: Received: 7 July 2016; Accepted: 4 January 2017
Received: 7 July 2016; Accepted: 4 January 2017; Published: 22 February 2017
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