Estimativa Da Evapotranspiração Em Área De Pastagem Em Santa Maria – Rs

Rubert, Gisele Cristina Dotto; Roberti, Débora Regina; Diaz, Marcelo Bortoluzzi; Moraes, Osvaldo L. L.

doi:10.5902/2179460x20237

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…According to Figures 3A and 3B, vegetation indices (NDVI ≥ 0.5 and IAF ≥ 2.0 m 2 m -2 ) indicate good vegetation development in these areas. For pasture areas , Rubert et al [28] observed an annual average value of the evaporative fraction of 0.71, with minimum and maximum values of 0.54 and 0.89, respectively. Figure 3C shows the map of the biomass availability estimate (Bio, kg/ha) of the pasture areas after the application of the SEBAL algorithm and TM -Landsat 5 image.…”

Section: International Journal Of Advanced Engineering Research and Science (Ijaers)mentioning

confidence: 99%

Estimation of Energy Flux and Biomass in Pasture Areas through Remote Sensing Techniques

Andrade¹,

Hott²,

Magalhães³

2019

IJAERS

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Pasture production is estimated through remote sensing techniques with the aid of models and algorithms. The application with no need for extensive field measurements is one of the advantages of the Surface Energy Balance Algorithm for Land (SEBAL). The objective of this work was to estimate energy fluxes and, subsequently, pasture biomass with the aid of remote sensing techniques. The study area is located on the Experimental Farm of Embrapa Beef Cattle, municipality of Campo Grande, State of Mato Grosso do Sul, Brazil. For the implementation of the SEBAL and estimation of energy fluxes and biomass of the pasture areas, meteorological data and Landsat 5 -TM image were used. It was found that the technique has the potential to be applied to indicate the forage availability and to support decision-making in the planning and management of the extensive production of beef and milk cattle, with economic and environmental sustainability of pasture areas.

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Section: International Journal Of Advanced Engineering Research and Science (Ijaers)mentioning

confidence: 99%

Estimation of Energy Flux and Biomass in Pasture Areas through Remote Sensing Techniques

Andrade¹,

Hott²,

Magalhães³

2019

IJAERS

View full text Add to dashboard Cite

show abstract

Energy balance and surface decoupling factor of a pasture in the Brazilian Cerrado

Alves

Ribeiro

Rody

et al. 2022

Agricultural and Forest Meteorology

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The Influence of Land Surface Temperature in Evapotranspiration Estimated by the S-SEBI Model

et al. 2020

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Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its applications are varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of land surface temperature (Ts) can cause on ET estimates by S-SEBI model in the Pampa biome area. Also, the specificities of native grassland of Pampa biome related to energy balance were analyzed. The results indicate that the daily evapotranspiration is higher when the pixel Ts is lower, which also shows the influence of land use on the variability of ET. The results demonstrated that the S-SEBI is less dependent on Ts estimation than other models reported in the literature, such as the SEBS, which not exceed 0.5 mm/day in grasslands. The evapotranspiration variability between forest and grassland were lower than expected, demonstrating that the Pampa biome have in Rio Grande do Sul the same importance that forests regarding to the processes of the hydrological cycle, since it covers 63% of the State.

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Estimativa Da Evapotranspiração Em Área De Pastagem Em Santa Maria – Rs

Cited by 4 publications

References 9 publications

Estimation of Energy Flux and Biomass in Pasture Areas through Remote Sensing Techniques

Estimation of Energy Flux and Biomass in Pasture Areas through Remote Sensing Techniques

Energy balance and surface decoupling factor of a pasture in the Brazilian Cerrado

The Influence of Land Surface Temperature in Evapotranspiration Estimated by the S-SEBI Model

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