A satellite based crop water stress index for irrigation scheduling in sugarcane fields

Shadman Veysi, Abd Ali Naseri, Saeid Hamzeh and Harm Bartholomeus

Agricultural Water Management, 2017, vol. 189, issue C, 70-86

Abstract: In this study, the capability of crop water stress index (CWSI) based on satellite thermal infrared data for estimating water stress and irrigation scheduling in sugarcane fields was evaluated. For this purpose, eight Landsat 8 satellite images were acquired during the sugarcane growing season (May–September 2015). Simultaneous with the satellite overpass times, in-situ measurements of canopy temperature and vegetation water content (VWC) were conducted in forty points located in eight sugarcane fields per image (in total 320 observation points in 32 fields). These fields were selected with different ages (Plant, Ratoon 1, Ratoon 2, and Ratoon 3) and irrigation schedule. Then, the CWSI was calculated in three different ways including: 1) based on the Idso method and using the handheld infrared thermometer, 2) based on the Idso method and thermal infrared data of Landsat 8 satellite imagery, 3) using a new proposed procedure for retrieving CWSI from the satellite imagery with using the hot and cold pixels. Results show a good relationship between the calculated CWSI based on field measurement and new CWSI based on satellite data with the coefficient of determination of 0.49–0.85 and the root mean square error (RMSE) of 0.12–0.29 for different images. Further, a negative relationship between VWC and CWSI, with R2 values of 0.42–0.78, was observed. This relationship increases with developing sugarcane canopy, and decreases with an increasing plant age. Comparing recorded irrigation events in the fields, estimated CWSI and VWC shows that water stress can be classified into three critical classes including high water stress (0.70Keywords: Crop water stress index (CWSI); Irrigation scheduling; Thermal infrared remote sensing; Landsat 8; Sugarcane (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:189:y:2017:i:c:p:70-86

DOI: 10.1016/j.agwat.2017.04.016

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