Abstract
Irrigation performance indicators can helpwater managers to understand how anirrigation scheme operates under actualcircumstances. The new contribution ofremote sensing data, is the opportunity tostudy the crop growing conditions at scalesranging from individual fields to schemelevel. Public domain internet satellitedata have been used to calculate actual andpotential crop evapotranspiration, soilmoisture and biomass growth on a monthlybasis in the Nilo Coelho irrigation scheme,Pernambuco (Brazil). Satellite interpretedraster maps were merged with vector maps ofthe irrigation water delivery system.Monthly values of a minimum list ofirrigation performance indicators for thevarious service units in the pressurizedNilo Coelho scheme were determined. NiloCoelho is a good performing scheme. Theperformance can be improved further if 25%irrigation water is saved from February toJuly. The benchmark figures from thismodern irrigation system are presented forcomparitive analysis with other systems.The acceptable ranges in space and timeare presented. On average, 65% of thelateral pumping units on a monthly basisfall within the acceptable limits ofirrigation performance. Low cost irrigationperformance data based on low resolutionsatellite images (US$ 1/ha) will help themanagement team to focus on specificpumping units, and discuss alternativeirrigation and farm management strategieswith the stakeholders.
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Bastiaanssen, W., Brito, R., Bos, M. et al. Low Cost Satellite Data for Monthly Irrigation Performance Monitoring: Benchmarks from Nilo Coelho, Brazil. Irrigation and Drainage Systems 15, 53–79 (2001). https://doi.org/10.1023/A:1017967021198
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DOI: https://doi.org/10.1023/A:1017967021198