Energy balance model applied to pasture experimental areas in São Paulo State, Brazil

Gustavo Bayma-Silva; Antonio Heriberto de Castro Teixeira; Daniel de Castro Victoria; Sandra Furlan Nogueira; Janice Freitas Leivas; Daniel N. Coaguila; Valdo Rodrigues Herling

doi:10.1117/12.2242043

25 October 2016 Energy balance model applied to pasture experimental areas in São Paulo State, Brazil

Gustavo Bayma-Silva, Antonio Heriberto de Castro Teixeira, Daniel de Castro Victoria, Sandra Furlan Nogueira, Janice Freitas Leivas, Daniel N. Coaguila, Valdo Rodrigues Herling

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Proceedings Volume 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII; 99981C (2016) https://doi.org/10.1117/12.2242043
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

The Simple Algorithm for Evapotranspiration Retrieving (SAFER) was used to estimate biophysical parameters and the energy balance components in two different pasture experimental areas, in the São Paulo state, Brazil. The experimental pastures consist in six rotational (RGS) and three continuous grazing systems (CGS) paddocks. Landsat-8 images from 2013 and 2015 dry and rainy seasons were used, as these presented similar hydrological cycle, with 1,600 mm and 1,613 mm of annual precipitation, resulting in 19 cloud-free images. Bands 1 to 7 and thermal bands 10 and 11 were used with weather data from a station located near the experimental area. NDVI, biomass, evapotranspiration and latent heat flux (λE) temporal values statistically differ CGS from RGS areas. Grazing systems influences the energy partition and these results indicate that RGS benefits biomass production, evapotranspiration and the microclimate, due higher LE values. SAFER is a feasible tool to estimate biophysical parameters and energy balance components in pasture and has potential to discriminate continuous and rotation grazing systems in a temporal analysis.

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Gustavo Bayma-Silva, Antonio Heriberto de Castro Teixeira, Daniel de Castro Victoria, Sandra Furlan Nogueira, Janice Freitas Leivas, Daniel N. Coaguila, and Valdo Rodrigues Herling "Energy balance model applied to pasture experimental areas in São Paulo State, Brazil", Proc. SPIE 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 99981C (25 October 2016); https://doi.org/10.1117/12.2242043

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KEYWORDS

Roentgenium

Heat flux

Biological research

Earth observing sensors

Landsat

Solar radiation

Climatology

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