Estimation of wheat yield by satellite imageries Landsat 8

Document Type : Research Paper


1 Graduated M.Sc. of Irrigation and Drainage, Faculty of Engineering and technology, Imam Khomeini International University, Qazvin, Iran

2 Assistant Professor, Department of Water Engineering, Imam Khomeini International University, Qazvin, Iran

3 Professor, Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran


Remote sensing can be used to provide agricultural land use map and to estimate crop cultivated area and crop yield. The purpose of this study was to estimate wheat yield by satellite imageries in Moghan Agro-Industry which is one of the important centers of agricultural production in Iran. Wheat is one of the strategical crops. Field data were collected from Moghan Agro-Industry during 2013 to 2015. Landsat 8 images which were coincided to field observation were collected to determine eight vegetation indices. Landsat-8 with high spatial resolution and ease facility images has presented acceptable results. The obtained results showed that NDVI parameter  with R2=0.71 and RMSE, MAE and MBE  equal to 797, 637 and 87 kg per hectare, respectively, has a higher precision for crop yield prediction as compared to other vegetation indexes. Thus, wheat yield could be predicted by Landsat 8 imageries before harvesting time in Moghan plain. This can help Moghan Agro-Industry, water resources, food providers, agricultural insurance, and transportation managers to manage their decisions before time is going.


Main Subjects

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