Dr. Fernando Braz Tangerino Hernandez Profile

Dr. Fernando Braz Tangerino Hernandez

Professor at UNESP

SPIE Involvement:

Author

Area of Expertise:

evapotranspiration , energy balance , irrigated agriculture , remote sensing , irrigation , watershed

Websites:

Company Website | Personal Website

Publications (12)

SPIE Journal Paper | 22 February 2017

Large-scale radiation and energy balances with Landsat 8 images and agrometeorological data in the Brazilian semiarid region

Antônio Heriberto de Castro Teixeira, Janice Freitas Leivas, Fernando Braz Tangerino Hernandez, Renato Alberto Momesso Franco

JARS, Vol. 11, Issue 01, 016030, (February 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.016030

KEYWORDS: Earth observing sensors, Landsat, Solar radiation, Satellites, Heat flux, Ecosystems, Satellite imaging, Vegetation, Soil science, Data modeling

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Proceedings Article | 25 October 2016 Presentation + Paper

Energy balance in the watershed of Ipê, Northwestern São Paulo State, Brazil

Diego Feitosa, Fernando T. Hernandez, Renato A. Franco, Antonio H. Teixeira, Christopher Neale

Proceedings Volume 9998, 99980O (2016) https://doi.org/10.1117/12.2242137

KEYWORDS: Heat flux, Remote sensing, Landsat, Radon, Roentgenium, Satellites, Meteorology, Satellite imaging, Earth observing sensors, Soil science

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Proceedings Article | 25 October 2016 Paper

Annual variability of water productivity components in the watershed of Cabeceira Comprida stream, Santa Fé do Sul, Brazil

Daniel Coaguila, Fernando B. Hernandez, Antônio H. de C. Teixeira, Christopher Neale, Renato A. Franco, Janice Leivas

Proceedings Volume 9998, 99981E (2016) https://doi.org/10.1117/12.2242007

KEYWORDS: Landsat, Agriculture, Earth observing sensors, Remote sensing, Climatology, Roentgenium, Calibration, Sensors, Wind energy, Satellites

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Proceedings Article | 25 October 2016 Paper

Water productivity mapping using Landsat 8 satellite together with weather stations

Renato A. Franco, Fernando B. Hernandez, Antônio H. de C. Teixeira, Janice Freitas Leivas, Daniel Noe Coaguila, Christopher Neale

Proceedings Volume 9998, 99981H (2016) https://doi.org/10.1117/12.2242003

KEYWORDS: Landsat, Agriculture, Satellites, Remote sensing, Biological research, Data modeling, Solar radiation models, Solar radiation, Vegetation, Earth observing sensors

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Proceedings Article | 25 October 2016 Paper

Evapotranspiration, biomass production and water productivity acquired from Landsat 8 images in the northwestern side of the São Paulo state, Brazil

Antônio H. de C. Teixeira, Janice Leivas, Fernando T. Hernandez, Renato A. Franco, Daniel N. Nuñez

Proceedings Volume 9998, 99981D (2016) https://doi.org/10.1117/12.2241625

KEYWORDS: Landsat, Vegetation, Earth observing sensors, Agriculture, Satellites, Roentgenium, Image acquisition, Satellite imaging, Data modeling, Solar radiation

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Proceedings Article | 14 October 2015 Paper

Modelling radiation and energy balances with Landsat 8 images under different thermohydrological conditions in the Brazilian semi-arid region

Antônio H. de C. Teixeira, Janice Leivas, Ricardo Andrade, Fernando Hernandez, Franco Momesso

Proceedings Volume 9637, 96370U (2015) https://doi.org/10.1117/12.2195044

KEYWORDS: Earth observing sensors, Vegetation, Radon, Roentgenium, Heat flux, Satellites, Solar radiation, Landsat, Remote sensing, Satellite imaging

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Proceedings Article | 29 October 2014 Paper

Energy balance with Landsat images in irrigated central pivots with corn crop in the São Paulo State, Brazil

Antônio Teixeira, Fernando B. Hernandez, Ricardo Andrade, Janice Leivas, Edson Bolfe

Proceedings Volume 9239, 92390O (2014) https://doi.org/10.1117/12.2067090

KEYWORDS: Radon, Heat flux, Roentgenium, Landsat, Soil science, Solar radiation, Satellites, Remote sensing, Vegetation, Earth observing sensors

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The energy balance (EB) components were quantified in a commercial farm with corn crop, irrigated by central pivots, in the Northwestern side of São Paulo state, Southeast Brazil. The SAFER (Simple Algorithm For Evapotranspiration Retrieving) was applied to retrieve the latent heat flux (λE), considering six pivots, covering irrigated areas from 74 to 108 ha. With λE quantified and considering soil heat flux (G) as a fraction of net radiation (Rn), the sensible heat flux (H) was acquired as a residual in the energy balance equation. Seven Landsat satellite images, covering all corn crop stages from 23 April 2010 to 29 August 2010, allowed relating the energy balance components according to the accumulated degree-days (DD_ac) from the planting to harvest dates. The average Rn values ranging from 5.2 to 7.2 MJ m^-2 day^-1, represented 30 to 45% of global solar radiation (RG). Considering the variation of the energy balance components along the corn crop growing seasons, the average ranges for λE, H and G were respectively 0.0 to 6.4 MJ m^-2 day^-1, -1.5 to 6.7 MJ m^-2 day^-1 and 0.1 to 0.6 MJ m^-2 day^-1. The fraction of the available energy (R_n - G) used as λE was from 0.0 to 1.3 indicated a good irrigation management, insuring that the water deficit could not be the reason of any yield reduction. Although Rn did not reflected well the crop stages, its partition strongly depended on these stages. λE higher than Rn and the negative H/Rn, happening sometimes along the corn growing seasons, occurred after the vegetative growth and before the harvest times, indicated heat advection from the surrounding areas to the irrigation pivots, which represented an additional energy source for the evaporative process. The models applied here with only the visible and infrared bands of the Landsat sensor are very useful for the energy balance analyses, considering the size of the corn crop irrigation pivots in Southeast Brazil, when subsidizing a rational irrigation water application in corn crop.

Proceedings Article | 21 October 2014 Paper

Water productivity of different land uses in watersheds assessed from satellite imagery Landsat 5 Thematic Mapper

Renato A. Franco, Fernando B. Hernandez, Antonio H. Teixeira

Proceedings Volume 9239, 92392E (2014) https://doi.org/10.1117/12.2067459

KEYWORDS: Agriculture, Biological research, Solar radiation, Remote sensing, Landsat, Vegetation, Earth observing sensors, Satellites, Soil science, Satellite imaging

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Proceedings Article | 16 October 2013 Paper

Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil

Antônio H. de C. Teixeira, Hélio Lopes, Fernando Hernandez, Morris Scherer-Warren, Ricardo Andrade, Christopher Neale

Proceedings Volume 8887, 888713 (2013) https://doi.org/10.1117/12.2027490

KEYWORDS: Vegetation, Remote sensing, Biological research, Landsat, Agriculture, Satellites, Solar radiation, Solar radiation models, Ecosystems, Earth observing sensors

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Proceedings Article | 16 October 2013 Paper

Application of MODIS images for modeling the energy balance components in the semi-arid conditions of Brazil

Antônio H. de C. Teixeira, Morris Sherer-Warren, Hélio Lopes, Fernando Hernandez, Ricardo Andrade, Christopher Neale

Proceedings Volume 8887, 888719 (2013) https://doi.org/10.1117/12.2025388

KEYWORDS: Vegetation, Radon, Remote sensing, MODIS, Heat flux, Solar radiation, Satellites, Solar radiation models, Ecosystems, Agriculture

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Proceedings Article | 23 October 2012 Paper

Application of Landsat images for quantifying the energy balance under conditions of land use changes in the semi-arid region of Brazil

Antônio H. de Teixeira, Fernando B. Hernandez, Hélio Lopes

Proceedings Volume 8531, 85310P (2012) https://doi.org/10.1117/12.965882

KEYWORDS: Vegetation, Radon, Heat flux, Solar radiation, Remote sensing, Landsat, Satellites, Agriculture, Modeling, Earth observing sensors

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Proceedings Article | 19 October 2012 Paper

Water productivity assessment by using MODIS images and agrometeorological data in the Petrolina municipality, Brazil

Antônio H. Teixeira, Morris Sherer-Warren, Fernando Hernandez, Hélio Lopes

Proceedings Volume 8531, 85310G (2012) https://doi.org/10.1117/12.974376

KEYWORDS: Vegetation, MODIS, Biological research, Satellites, Roentgenium, Data modeling, Solar radiation, Ecosystems, Landsat, Earth observing sensors

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Showing 5 of 12 publications

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