Determination the best vegetation spectral indices for estimating rice crop area in the Kefal Shinafiya project in Iraq

Abstract EN

In this study nine vegetation indicators and Landsat 8 satellite images for the OLI sensor were used to monitoring the rice yield and adopt two scenes with two different dates, the first at the beginning of cultivation and the second at the growth stage vegetative.

The results showed that the best indicator for estimating the rice crop area is Rice Growth Vegetation Index (RGVI), where the lowest error rate was recorded 4.3% for the estimated rice crop area of 4503.5 Hectares compared to the reference data of the Iraqi Ministry of Planning for 2018, which amounted to 4316 Hectare.

As for the Ratio Vegetation Index (RVI) and Normalized Difference Vegetation Index (NDVI) indicators, in terms of percentage of error, they were 6.9% and 9.4% , respectively, and the values were close to the reference data.

While the Infrared Percentage Vegetation Index (IPVI) and Triangular Vegetation Index (TVI) indices recorded the highest error rates against the reference data, which were 30.3% and 26% , respectively.