Assessment of Irrigation Performance by Using Remote Sensing Techniques in Naryanpur Command Area, India

Abstract

Assessment of irrigation performance for any irrigation scheme becomes necessary to know about effectiveness in terms of its operational management and socio-economic impacts. This study will focus on the performance assessment parameters computed using meteorological, optical datasets, and ground measurements for the Narayanpur Command Area. Net crop area is calculated for both Kharif and Rabi seasons using Optical Datasets for 2018-19. Atmospherically calibrated Sentinel 2 MSI images were used to identify major crop types by using supervised algorithms. Actual and Potential Evapotranspiration was also computed from meteorological datasets for the same duration. The surface Energy Balance algorithm was used for calculating potential Evapotranspiration. Crop water stress index and crop coefficient were computed and multiplied with potential evapotranspiration for getting actual evapotranspiration. It was observed that the actual evapotranspiration for both Kharif and Rabi crops varied from 700 mm to 1550 mm. The temporal scale for each growth stage was evaluated to analyse operational performance based on the growth phase of major crops grown in the Narayanpur command area. For performance assessment, depleted fraction, relative evapotranspiration, and relative water supply index were calculated. Most of the growth stages' depleted fractions varied from 0.6 to 0.9 and relative evapotranspiration varied from 0.7 to 0.92. The relative water supply for Kharif was estimated as 1.05 and for Rabi, it was 0.69.