Comparison of the Ability of Sentinel-2 and Landsat 8/9 in Detecting Water Stress in Sugarcane

Articles in Press

Document Type : Research Paper

Authors

1 Ph. D Student of Irrigation and Drainage Department, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz,

2 Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Khuzestan , Iran.

3 Soil and Water Research Institute (SWRI), Alborz, Iran

4 Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Abstract

Water stress is one of the most important factors affecting the evaluation of water content and the monitoring of plants. The aim of this study is to compare the capability of the infrared bands of the Sentinel 2 satellite and the thermal bands of the Landsat 8-9 satellite to determine water stress in the Amir Kabir Sugarcane Agro-Industry Unit in Khuzestan province. Actual calculated stress data based on the empirical Idso equation were used for the evaluation. The land surface temperature index (LST) based on Landsat 8-9 thermal bands and the moisture stress index (MSI) based on Sentinel 2 infrared bands were used to estimate water stress. The results show that the Landsat 8-9 satellite thermal bands with an average, R2 of 0.78-0.92, RMSE of 0.08-0.11, rMBE of 14.54-14.20, and r of 0.88-0.96, showed a slightly better estimate of the actual stress data than the infrared bands of Sentinel 2 with an average R2 of 0.74-0.89, RMSE of 0.14-0.15, rMBE of 28.5-38.6, and r of 0.86-0.94. However, the trend of stress changes for the two satellites is similar to the actual values. Based on the spatial distribution map, the estimated water stress was determined using thermal and infrared bands with the highest stress of 0.65 and 0.69, on July 24, respectively. respectively. Therefore, both satellites performed acceptably to estimate the water stress of sugarcane, and when Landsat 8-9 imagery is unavailable, the use of Sentinel-2 imagery is recommended for crop water stress estimation.

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Iranian Journal of Soil and Water Research

Articles in Press, Accepted Manuscript
Available Online from 19 April 2025

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