Publications

Rampazo, NAM; Picoli, MCA; Teixeira, AHD; Cavaliero, CKN (2020). Water Consumption Modeling by Coupling MODIS Images and Agrometeorological Data for Sugarcane Crops. SUGAR TECH.

Abstract
Actual evapotranspiration (ETa) is the main component of crop water consumption. Sugarcane requires large volumes of water during its development and may induce changes in local and regional climate. Field measurements, besides their high cost, are insufficient to understand the ETa spatial variability-a gap that can be filled with remote sensing techniques, due to the spatial nature of satellite imaging and its low cost, which allows the construction of temporal, spatial series of estimates of energy and water balances components. The Simple Algorithm For Retrieving Evapotranspiration (SAFER) model was applied to sugarcane crop in the mesoregion of Bauru, Sao Paulo, Brazil. Surface agrometeorological data were used as inputs along with parameters obtained by remote sensing from January 2015 to June 2016. The highest values of daily ETa (> 5.0 mm d(-1)) were observed in the rainy season, during the sugarcane growing stage, indicating the phase of higher water demand, and the lowest values (< 3.0 mm d(-1)) were verified in the dry season, during the stages of emergence and maturation. Sugarcane crop was responsible for the consumption of 52% to 62% of the volume of precipitated water in the Bauru meso region. The results of the SAFER model using meteorological data from remote sensing (SAFER-RS) presented d1 = 0.72 in relation to results using surface weather data from the Brazilian National Institute of Meteorology-INMET (SAFER-INMET). The errors in the estimation of ETa by SAFER-RS may be due to errors in the meteorological data from the remote sensing used.

DOI:
10.1007/s12355-020-00919-7

ISSN:
0972-1525