Publications

Goshehgir, AS; Golabi, M; Naseri, AA (2021). Estimation and Comparison Actual Evapotranspiration of Sugarcane Using Separate and Fusion Satellite Images and Lysimeteric Data with Approach of Determining Water Use Efficiency. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 49(6), 1461-1474.

Abstract
Estimating evapotranspiration is an essential step towards the calculation of crops irrigation needs. One of the most widely used methods for this estimation is Surface Energy Balance Algorithm (SEBAL), a method based on remote sensing imagery. In the current study, fusion images of Landsat 8 and MODIS satellites using Gram-Schmidt algorithm were employed to calculate actual evapotranspiration of the Amir Kabir sugarcane argo-industry company, Khuzestan, Iran. Furthermore, the amount of sugarcane evapotranspiration was estimated using Landsat 8 images and SEBAL algorithm, and finally, the results were compared with lysimeteric data. The comparison of evapotranspiration from Landsat 8 and lysimeteric data showed a correlation higher than 0.96, as well as a comparison of evapotranspiration from the Landsat-MODIS fusion images having a suitable correlation equal to 0.88 with the lysimeteric data. In this research, the amount of dry matter produced in farming year 2016-2017 was calculated by using the Monteith model and satellite images. The average dry matter produced (biomass) of sugarcane in this period estimated using Landsat 8 images was 52.51ton/ha and 42.45ton/ha with fusion images. The average water use efficiency from the dry matter ratio produced by the actual evapotranspiration estimated from satellite data for Landsat 8 images and Landsat-MODIS fusion images was 5.98 and 5.95 kg/m(3), respectively. Also, the relationship between age and sugarcane varieties with yield and evapotranspiration rates calculated by the Monteith and SEBAL model indicated that the effect of the age of the sugarcane and varieties on its evapotranspiration rate is negligible. Finally, the relationship between the estimated evapotranspiration by Landsat 8 images and NDVI revealed that the extraction of NDVI values from images could be achieved with the proper accuracy of evapotranspiration.

DOI:
10.1007/s12524-021-01326-5

ISSN:
0255-660X