Abstract

Remote sensing datasets are increasingly being used to provide spatially explicit large scale evapotranspiration (ET) estimates. The focus of this study was to estimate and thematically map on a pixel-by-pixel basis, the actual evapotranspiration (ET<sub>a</sub>) of the Wonji Shoa Sugarcane Estate using the Surface Energy Balance Algorithm for Land (SEBAL), Simplified Surface Energy Balance (SSEB) and Operational Simplified Surface Energy Balance (SSEBop) algorithms. The results obtained revealed that the ranges of the daily ETa estimated on January 25, February 26, September 06 and October 08, 2002 using SEBAL were 0.0 - 6.85, 0.0 – 9.36, 0.0 – 3.61, 0.0 – 6.83 mm/day; using SSEB 0.0 - 6.78, 0.0 – 7.81, 0.0 – 3.65, 0.0 – 6.46 mm/day, and SSEBop were 0.05 - 8.25, 0.0 – 8.82, 0.2 – 4.0, 0.0 – 7.40 mm/day, respectively. The Root Mean Square Error (RMSE) values between SSEB and SEBAL, SSEBop and SEBAL, and SSEB and SSEBop were 0.548, 0.548, and 0.99 for January 25, 2002; 0.739, 0.753, and 0.994 for February 26, 2002;0.847, 0.846, and 0.999 for September 06, 2002; 0.573, 0.573, and 1.00 for October 08, 2002, respectively. The standard deviation of ET<sub>a</sub> over the sugarcane estate showed high spatio-temporal variability perhaps due to soil moisture variability and surface cover. The three algorithm results showed that well watered sugarcane fields in the mid-season growing stage of the crop had higher ET<sub>a</sub> values compared with the other dry agricultural fields confirming that they consumptively use more water. Generally during the dry season, ET<sub>a</sub> is limited to water surplus areas only and in wet season, ET<sub>a</sub> was high throughout the entire sugarcane estate. The evaporation fraction (ETrF) results also followed the same pattern as the daily ET<sub>a</sub> over the sugarcane estate. The total crop and irrigation water requirement and effective rainfall estimated using the Cropwat model were 2468.8, 2061.6 and 423.8 mm/yr for January 2001 planted and 2281.9, 1851.0 and 437.8 mm/yr for March 2001 planted sugarcanes, respectively. The mean annual ET<sub>a</sub> estimated for the whole estate were 107 Mm<sup>3</sup>, 140 Mm<sup>3</sup>, and 178 Mm<sup>3</sup> using SEBAL, SSEB, and SSEBop, respectively. Even though the algorithms should be validated through field observation, they have potential to be used for effective estimation of ET in the sugarcane estate.

Highlights

  • Water is one of the most important limited natural resources crucial for all socio-economic and environmental needs

  • The ET loss in this month is higher than the monthly precipitation in the sugarcane plantation farm and irrigation water is the source for an optimum climatic condition to satisfy the evaporative demand of the area

  • The ranges of ETa estimated over dry agricultural fields using SSEBop, Simplified Surface Energy Balance (SSEB) and Surface Energy Balance Algorithm for Land (SEBAL) were respectively 0.2 – 2.3, 0.0 - 2.1, and 0.0 – 1.9 mm/day

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Summary

Introduction

Water is one of the most important limited natural resources crucial for all socio-economic and environmental needs. It should be managed in a sustainable way to ensure its long-term availability. Judicious management of precious land and water resources is emerging as one of the biggest challenges of the 21st century. Irrigated agriculture is by far the largest consumptive water user sector and the goal of every grower is to practice irrigation management to fulfill water needs profitably, safely, and in an environmentally responsible way. Knowing how much water moves through soils and crop canopy can help growers use irrigation water more effectively with less risk to water sources

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