Estimating Soil Surface Moisture Content and Investigating Irrigation Schedule of Sugarcane Fields Using Thermal Trapezoidal Model

Document Type : Research Paper

Authors

1 Head of Remote Sensing and GIS Office, Sugarcane Development Research and Training Institute, Ahvaz, Iran

2 Associate Professor, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Iran

3 Professor, Department of Irrigation and Drainage, Faculty of Water Science Engineering, Shahid Chamran University, Ahvaz, Iran

Abstract

Soil moisture is one of the key parameters in water resources studies and irrigation remote planning. Measuring soil moisture on a large scale is costly and very time consuming. Traditional methods of measuring soil moisture at farm level cannot show the spatial changes of moisture in the best way. Various new methods have been developed to use satellite data to model soil moisture based on thermal images. This study was conducted in 2020 with the aim of investigating the ability of thermal satellite imagery to estimate soil moisture and to plan irrigation rounds of lands in sugarcane industry of Amirkabir located in the south of Khuzestan province. For this purpose, during growing season of sugarcane, soil moisture content was calculated for 9 crossings Landsat 8 satellite and evaluated using 180 ground control points, and also daily irrigation data of 32 farms (25-hectare) were recorded during the study period. The results showed that the accuracy of the model is suitable for estimating soil moisture with the measured values at the farm level. The mean square root of normalized error (NRMSE) was 12.9% and the coefficient of determination (R²) was 0.82. Also, the results of soil moisture in irrigation management of sugarcane fields showed that thermal trapezoidal model is effective due to using thermal bands to environmental factors such as relative humidity percentage, average air temperature, pest (leaf dryness) and plant temperature, and somewhat in June and July causes errors in irrigation planning of sugarcane fields. The mean square root of normalized error (NRMSE) during soil water stress was 24.32%, during irrigation time was 22.20%, at average humidity was 11.7%, during high humidity was 13.20% and during irrigation was 8.86%. Consequently, the accuracy of thermal trapezoidal model for planning irrigation of farms in estimating soil water stress and field irrigation time in some periods of growing season is moderate and for fields having sufficient soil moisture is well.

Keywords

References

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Iranian Journal of Soil and Water Research
Volume 53, Issue 10
January 2023
Pages 2209-2223

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