Abstract
Abstract. This study aimed to evaluate the power of various vegetation indices for sugarcane yield modelling in Shoeibeyeh area in Khuzestan province of Iran. Seven indices were extracted from satellite images and were then converted to seven days' time-series via interpolation. To eliminate noise from the time-series data, all of them were reconstructed using the Savitzky-Golay algorithm. Thus seven different time-series of vegetation indices were obtained. The growth profile was drawn via averaging of NDVI time-series data and was divided into three growth intervals. Then the accumulative values of vegetation indices related to first and second periods of growth (from 2004 to 2016 extracted from time-series data) were evaluated by simple linear regression models against the average observed yields efficiency. The result showed the accumulative IAVI (γ = 1.4) vegetation index relative to first period of growth with R2 = 0.66 and RMSE = 3.78 ton/ha and the accumulative NDI vegetation index relative to second period of growth with R2 = 0.66 and RMSE = 3.79 ton/ha and the accumulative NDI vegetation index relative to sum of the first and the second growth periods with R2 = 0.78 and RMSE = 3.09 ton/ha had good agreement with sugarcane stem yield efficiency at the middle of growth and before harvesting season.
Highlights
In Mianab region of Iran sugarcane yield was estimated via time series evaluation of NDVI, GNDVI and EVI vegetation indices and the results showed that NDVI and GNDVI vegetation indices with R2=0.63, RMSE=4.71 ton/ha and R2=0.60, RMSE 4.93 ton/ha, respectively, have good relations with sugarcane stem yield efficiency in regional scale (Khosravirad, Omid, Sarmadian, & Hosseinpour, 2019)
By averaging the NDVI time-series, the sugarcane growth profile was modelled in the studied area
The results show that the IAVI vegetation index with R2=0.66 and RMSE=3.78 ton/ha is the best indicator for sugarcane modelling at the end of the first stage of growth
Summary
L.) is a widely grown semiperennial crop that plays a major role in global agriculture for the production of sugar and other by-products/co-products such as bioethanol, rum, bagasse, fertilizer, filter muds etc.(Duveiller, López-Lozano, & Baruth, 2013). It is a tropical crop which grows between latitude 35°N and latitude 30°S. More than 27 million hectares of agricultural land is devoted to growing sugarcane globally. Though Iran sugarcane production fluctuated substantially in recent years, it tended to increase through 1965 - 2014 period ending at 6.59 million tones in 2014. The cane planting area in Iran is dispersed only on Khouzestan province and covers about 120000 ha
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