Wheat Yield Estimation by Satellite Imageries Landsat 8 (Case study: Moghan Plain)

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KAMALI LOGHMAN; KAVIANI ABBAS; NAZARI BIJAN; LIAGHAT ABDOLMAJID

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Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2018 | Volume:49 | Issue:5 Page(s): 1031-1042

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Title

Wheat Yield Estimation by Satellite Imageries Landsat 8 (Case study: Moghan Plain)

Author(s)

KAMALI LOGHMAN | KAVIANI ABBAS | NAZARI BIJAN | LIAGHAT ABDOLMAJID | Issue Writer Certificate

Keywords

Yield estimationQ1

Landsat 8Q1

Wheat and Vegetation indexQ3

Abstract

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.

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APA: Copy

KAMALI, LOGHMAN, KAVIANI, ABBAS, NAZARI, BIJAN, & LIAGHAT, ABDOLMAJID. (2018). Wheat Yield Estimation by Satellite Imageries Landsat 8 (Case study: Moghan Plain). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 49(5 ), 1031-1042. SID. https://sid.ir/paper/225432/en

Vancouver: Copy

KAMALI LOGHMAN, KAVIANI ABBAS, NAZARI BIJAN, LIAGHAT ABDOLMAJID. Wheat Yield Estimation by Satellite Imageries Landsat 8 (Case study: Moghan Plain). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2018;49(5 ):1031-1042. Available from: https://sid.ir/paper/225432/en

IEEE: Copy

LOGHMAN KAMALI, ABBAS KAVIANI, BIJAN NAZARI, and ABDOLMAJID LIAGHAT, “Wheat Yield Estimation by Satellite Imageries Landsat 8 (Case study: Moghan Plain),” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 49, no. 5 , pp. 1031–1042, 2018, [Online]. Available: https://sid.ir/paper/225432/en

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