Estimation of sugarcane field temperature using Split Window Algorithm and OLI LandSat 8 satellite images

Subject Areas : Geospatial systems development

Shadman Veysi ¹ , Abd Ali Naseri ² , Saeid Hamzeh ³ , Poria Moradi ⁴

1 - PhD. Student of Irrigation & Drainage, Shahid Chamran University of Ahvaz
2 - Prof. College of Water Sciences Engineering, Shahid Chamran University of Ahvaz
3 - Assis. Prof. College of Geography, University of Tehran
4 - MSc. of Remote Sensing & Geographic Information System, Shahid Chamran University of Ahvaz

Received: 2015-04-25 Accepted : 2015-10-01 Published : 2016-03-20

Keywords: LANDSAT 8, Sugarcane fields temperature, Infrared thermometer, Split window algorithm, Salman Farsi agro industry unit,

Abstract :

Land Surface Temperature (LST) is one of important parameters that is measured using Remote-sensing tools and thermal bands of satellites. The importance of this issue is revealed when direct effects of temperature are shown on the increase and decrease of evaporation, evapotranspiration and as a result, the moisture content changes in the plant. In this study, the temperature of sugarcane canopy cover was measured by LandSat 8 satellite data in 8 sugarcane fields out of Salman Farsi Sugacane Industry involving 5 points from each field (totally 40 points); these points were irrigated in different days and measured by the infrared thermometer. The points were selected at the edges of fields with the intervals of 30 m in order to avoid the combination of them with the pixels with no vegetation. To calibrate the Split Window (SW) algorithm, the input data of water evaporation, emissivity and transmittance as well as LandSat 8 satellite images were applied. Results have shown that the estimation of vegetation temperature of sugarcane fields in different days of irrigation was of an acceptable accuracy. Also, in the points with the same vegetation, irrigation is the main factor for the changes of temperature. In this research, Residual Mean Error Square (RMSe), and Mean Average Error for the measured field temperature and extracted one by the satellite images were given as 0.925 and 0.766 °C, respectively.

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