Abstract
Understanding sugarcane water demand is important for planting planning, yield estimation, irrigation management, forecasting and water resources management. The purpose of this study was to estimate the evapotranspiration of the variety RB985476 in 2nd. re-grow, from August/2017 to September/2018, in a mechanized harvest area and with straw distribution over dystrophic red Latosolo, through the SAFER algorithm, with two passive orbital image sensors: Landsat 8 and Sentinel 2. The results demonstrated that SAFER better estimated ETc from Landsat 8 images and that remote sensing is not efficient for ETc estimation in phenological stages with low plant coverage. The sensors show divergences in surface and albedo temperature estimates and no difference in NDVI estimation was observed. The landsat 8 products are superior in evapotranspiration estimates when compared to the standards recommended in this paper.
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