02192naa a2200325 a 450000100080000000500110000800800410001902200140006002400360007410000260011024501010013626000090023752012390024665000230148565000170150865000230152565000190154865000140156765000200158165000130160165000210161465000240163565000250165965300190168465300230170370000180172670000190174470000230176377300800178620483482016-07-07       2016    bl uuuu     u00u1 u    #d  a2226-43617 a10.14355/ijrsa.2016.06.0092DOI1 aTEIXEIRA, A. H. de C.  aSugarcane Water Productivity Assessments in the São Paulo state, Brazil.h[electronic resource]  c2016  aSão Paulo state, Brazil, has been highlighted by the sugarcane crop expansion. The actual scenario of climate and land use changes, bring attention for the large-scale water productivity (WP) analyses. MODIS images were used together with gridded weather data for these analyses. A generalized sugarcane growing cycle inside a crop land mask, from September 2011 to October 2012, was considered in the main growing regions of the state. Actual evapotranspiration (ET) is quantified by the SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm, the biomass production (BIO) by the RUE (Radiation Use Efficiency) Monteith?s model and WP is considered as the ratio of BIO to ET. During the four generalized sugarcane crop phases, the mean ET values ranged from 0.6 to 4.0 mm day-1; BIO rates were between 20 and 200 kg ha-1 day-1, resulting in WP ranging from 2.8 to 6.0 kg m-3. Soil moisture indicators are applied, indicating benefits from supplementary irrigation during the grand growth phase, wherever there is water availability for this practice. The quantification of the large-scale water variables may subsidize the rational water resources management under the sugarcane expansion and water scarcity scenarios.  aBiomass production  aEnergy crops  aEvapotranspiration  aRemote sensing  aSugarcane  aWater resources  aBiomassa  aCana de açúcar  aEvapotranspiração  aSensoriamento remoto  aBioenergy crop  aRecursos hídricos1 aLEIVAS, J. F.1 aRONQUIM, C. C.1 aVICTORIA, D. de C.  tInternational Journal of Remote Sensing Applicationsgv. 6, p. 84-95, 2016.