Surface Energy Balance System (Sebs) and Satellite Data for Monitoring Water Consumption of Irrigated Sugarcane

Abstract

ABSTRACT:The objective of this research was to evaluate the water consumption of irrigated sugarcane areas using the Surface Energy Balance System (SEBS) driven by products derived from Meteosat Second Generation (MSG), SPOT/VEGETATION, Terra/MODIS satellite data and meteorological observations data from Minas Gerais State, Brazil. The actual evapotranspiration from SEBS model (ET-SEBS) was compared against crop evapotranspiration under standard conditions (ETc), which was obtained from weather data based on reference evapotranspiration (ET0) and the crop coefficient (Kc) values from FAO. Results showed that there was a good agreement between ET-SEBS and ETc when sugarcane was at maximum development stage under center pivot irrigation and the Kc value corresponded to 1.25. The ET-SEBS values seem to overestimate water use during sugarcane late stage in areas which the Kc value was 0.7. Increasing Kc to a value equals to 1.25 for sugarcane late stage, the differences between ETc and ET-SEBS decreased; Kc is not so high at that stage, reinforcing ET-SEBS overestimation. In conclusion, the estimation of evapotranspiration using satellite data and SEBS model approach was appropriated to monitor water usage of large sugarcane areas irrigated by center pivots in Minas Gerais State, Brazil.

Analysis of spatiotemporal variability of water productivity in Ethiopian sugar estates: using open access remote sensing source

“…(Luckson 2010), also use SEBAL model to estimate evapotranspiration (ET) of sugarcane at Zimbabwe and observed the ET value of 4-5 mm/day (2160 to 2700 mm/season) which is closer to the value we observed from WaPOR portal. (Ferreira et al 2016), use Energy Balance System (SEBS) model to estimate sugarcane water requirement at Minas Gerais State, Brazil and observed ETc value of 2.89 mm/day to 4.0 mm/day (1560-2160 mm/season) which also very clos to the value we observed from WaPOR portal.…”

Crop Data Retrieval Using Earth Observation Data to Support Agricultural Water Management

“…Presently, the availability of free and open access to high spatial resolution EO data with a short revisit time allows for accurate crop parameter estimation as well as crop growth cycle characterization, improving the identification of each growth cycle stage, which is often imperceptible when lower temporal resolution data are used (El Hajj et al, 2009;D'Urso et al, 2010;Ramme et al, 2010;Johann et al, 2013;Johann et al, 2016;Navarro et al, 2016;Rolim et al, 2016;Grzegozewski et al, 2017;Toureiro et al, 2017). EO methodologies have been widely used for crop evapotranspiration (ETc) and IWR estimation because of the reflective properties of vegetation that allow one to estimate crop biophysical parameters and plant processes such as transpiration (Neale et al, 1989;Calera Belmonte et al, 2005;D'Urso et al, 2010;Paço et al, 2014;Vuolo et al, 2015;Ferreira et al, 2016;Oliveira et al, 2016). ETc can be estimated from EO data using empirical methods based on the use of vegetation indices (VIs) to estimate crop coefficients (Neale et al, 1989;Calera Belmonte et al, 2005;D'Urso et al, 2010) or using physics-based methods based on the surface energy balance to estimate the latent heat flow based on EO thermal images (Bastiaanssen et al, 1998;Allen et al, 2007;Eldeiry et al, 2016).…”

Quantifying the contribution of riparian total evaporation to streamflow transmission losses: Preliminary investigations along the Groot Letaba river

“…where R n is net radiation (W m À 2 ), G 0 is the soil heat flux (W m À 2 ), H is the sensible heat flux (W m À 2 ) and LE is the latent heat flux (W m À 2 ). SEBS has been extensively applied and shown to provide fairly accurate estimates of fluxes and ET (Ma et al, 2012(Ma et al, , 2014Szporak-Wasilewska et al, 2013;Matinfar and Soorghali, 2014;Shoko et al, 2014;Yang et al, 2015;Ferreira et al, 2016;Gokool et al, 2016;Mohammadian et al, 2017). However, it should be noted that the original model formulation is generally unable to adequately represent fluxes and ET during water stressed conditions (Gokmen et al, 2012).…”