Modeling the sugarcane product yield using a hybrid model based on remotely sensed data

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Velashjerdi M.M.; HAMZEH S.; MOGHADDASI M.; sheini dashtgol A.

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Journal: Journal of Water and Soil Conservation Year:2019 | Volume:25 | Issue:6 Page(s): 141-158

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Title

Modeling the sugarcane product yield using a hybrid model based on remotely sensed data

Author(s)

Velashjerdi M.M. | HAMZEH S. | MOGHADDASI M. | sheini dashtgol A. | Issue Writer Certificate

Keywords

Energy balanceQ1

Monteith modelQ1

Satellite ImageryQ2

SugarcaneQ3

Abstract

Background and Objectives: Managers and policy makers, to take appropriate managerial strategies, including product price and products' market on import and export need information about performance of agricultural products at different scales, but estimation of product yield amount regarding the lack of required information is always difficult and costly. The most appropriate way is satellite data and remote sensing technique. The present study aims at estimating the Sugarcane product yield using Landsat 8 satellite images. Materials and Methods: In this research, a hybrid model was used to estimate the product yield. This hybrid model includes many models to calculate the absorbed photosynthetic active radiation, the Stanford model to determine the light use efficiency and SEBAL model to describe spatial-temporal variations of the earth's surface. The product yield map of the implementation of this model on 2013 using 10 Landsat 8 satellite images has been achieved. In SEBAL model, all Energy balance components including net radiation, soil heat flux, tangible heat flux from Satellite Imagery was calculated and finally the evaporation fraction was calculated based on the Energy balance equation. To estimate the produced dry material according to the date and number of images, photosynthetic active radiation in 10 time periods has been calculated. Each image represents an interval time period. In this research, all components of this hybrid model for all images in the time period of the main course of Sugarcane production growth was calculated and finally, the product yield map was prepared for this area. Results: The average yield of Sugarcane during growth period was estimated in 65 tons per hectare. Estimated yield with this hybrid model, showed good correlation and good distribution with the actual yield of farms (􀜴 􀬶 = 0. 8339). Then, the effect of age and varieties on the accuracy of the model in the Sugarcane performance estimation was studied. It was found that, among different statistics, the calculated yield values in cultivated farms of CP57-614 due to its precociousness and better alignment with the latest image has higher correlation with actual amounts of yield. Also it has been seen that with increasing the age of Sugarcane from the planting to R4, the yield will decrease and will have lower estimated yield, correlation and distribution comparing with actual Sugarcane yield and the correlation is reduced to 0. 51. Conclusion: The results of evaluation of product performance data and cultivated varieties indicated that the Sugarcane product yield is higher in the 614-CP57 than in the 1062-CP69 and it also shows a better match with the presented model. Also it was observed that with increasing different ages of Sugarcane from planting to R4, the performance was decreased and had lower estimated yield, correlation and distribution than the actual yield of Sugarcane and error rates will increase.

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APA: Copy

Velashjerdi, M.M., HAMZEH, S., MOGHADDASI, M., & sheini dashtgol, A.. (2019). Modeling the sugarcane product yield using a hybrid model based on remotely sensed data. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(6 ), 141-158. SID. https://sid.ir/paper/156425/en

Vancouver: Copy

Velashjerdi M.M., HAMZEH S., MOGHADDASI M., sheini dashtgol A.. Modeling the sugarcane product yield using a hybrid model based on remotely sensed data. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2019;25(6 ):141-158. Available from: https://sid.ir/paper/156425/en

IEEE: Copy

M.M. Velashjerdi, S. HAMZEH, M. MOGHADDASI, and A. sheini dashtgol, “Modeling the sugarcane product yield using a hybrid model based on remotely sensed data,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 25, no. 6 , pp. 141–158, 2019, [Online]. Available: https://sid.ir/paper/156425/en

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