Integration of Landsat 8 Satellite Images and MODIS Sensor to Estimate Actual Crop Evapotranspiration of Maize During the Growing Period (Case Study: Mahidasht, Kermanshah Province)

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VARVANI H.; FARHADI BANSOULEH B.; SHARIFI M.A.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:15 | Issue:1 Page(s): 257-266

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Title

Integration of Landsat 8 Satellite Images and MODIS Sensor to Estimate Actual Crop Evapotranspiration of Maize During the Growing Period (Case Study: Mahidasht, Kermanshah Province)

Author(s)

VARVANI H. | FARHADI BANSOULEH B. | SHARIFI M.A. | Issue Writer Certificate

Keywords

Energy BalanceQ1

EvapotranspirationQ1

LinziQ1

Remote SensingQ1

SEBALQ1

Abstract

Evapotranspiration is one of the key components in the hydrological cycle and its quantification is essential to understand the processes such as vegetation phenological changes, environmental hazards such as floods and droughts, and, in general, the ecosystem water balance. Remote Sensing methods based on surface Energy Balance are being more widely used to estimate Evapotranspiration. The purpose of this study was to estimate the actual Evapotranspiration of maize based on integration of Landsat 8 and MODIS satellite images using the SEBAL algorithm in Mahidasht, Kermanshah province. Linear with Zero Intercept (Linzi) method was used to integrate satellite images. Also, actual Evapotranspiration of maize in 15 farms in the study area was estimated based on ground surface data. The results of the SEBAL algorithm were compared with ground-based actual Evapotranspiration using MAE, BIAS and RMSE indices. The results indicated that the combination of satellite images has led to an improvement in the accuracy of estimated actual Evapotranspiration compared with that obtained by Landsat 8 images. The mean absolute error of estimated actual Evapotranspiration during the growing period was determined as 0. 44 and 0. 42 mm. day-1 respectively based on Landsat 8 and combined images. In general, the results of this study showed that the estimation of actual Evapotranspiration using the SEBAL algorithm and based on the integration of satellite images with different spatial and temporal resolutions could result in acceptable values.

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APA: Copy

VARVANI, H., FARHADI BANSOULEH, B., & SHARIFI, M.A.. (2019). Integration of Landsat 8 Satellite Images and MODIS Sensor to Estimate Actual Crop Evapotranspiration of Maize During the Growing Period (Case Study: Mahidasht, Kermanshah Province). IRAN-WATER RESOURCES RESEARCH, 15(1 ), 257-266. SID. https://sid.ir/paper/100053/en

Vancouver: Copy

VARVANI H., FARHADI BANSOULEH B., SHARIFI M.A.. Integration of Landsat 8 Satellite Images and MODIS Sensor to Estimate Actual Crop Evapotranspiration of Maize During the Growing Period (Case Study: Mahidasht, Kermanshah Province). IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(1 ):257-266. Available from: https://sid.ir/paper/100053/en

IEEE: Copy

H. VARVANI, B. FARHADI BANSOULEH, and M.A. SHARIFI, “Integration of Landsat 8 Satellite Images and MODIS Sensor to Estimate Actual Crop Evapotranspiration of Maize During the Growing Period (Case Study: Mahidasht, Kermanshah Province),” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 1 , pp. 257–266, 2019, [Online]. Available: https://sid.ir/paper/100053/en

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