In particular, it was determined that August received the highest r2 value (NDVI; 0.8580 and RE-OSAVI; 0.8465) in both vegetation index models at the S1 level, and on the other hand, a higher r2 value was obtained with NDVI.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, rice land designated for agricultural land suitability indices belonging to the enterprise Yeşil Küre Farm Land with different time series Sentinel-2A satellite images calculated utilizing spectral vegetation index, which are Normalized Difference Vegetation Index and Red Edge Optimized Soil Adjusted Vegetation Index values by statistical comparison of the relationship between rice for monitoring and estimation of potential productivity is presented a different perspective.
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Key Findings & Data:Firstly, according to the rice suitability assessment for the study area, the area of 5488.9 ha was determined to be suitable for rice cultivation at the S1 and S2 levels, whereas the area of 588.9 ha was determined to be unsuitable.
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Conclusion & Impact:In particular, it was determined that August received the highest r2 value (NDVI; 0.8580 and RE-OSAVI; 0.8465) in both vegetation index models at the S1 level, and on the other hand, a higher r2 value was obtained with NDVI.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Land evaluation · NDVI · RE-OSAVI
Abstract
In this study, rice land designated for agricultural land suitability indices belonging to the enterprise Yeşil Küre Farm Land with different time series Sentinel-2A satellite images calculated utilizing spectral vegetation index, which are Normalized Difference Vegetation Index and Red Edge Optimized Soil Adjusted Vegetation Index values by statistical comparison of the relationship between rice for monitoring and estimation of potential productivity is presented a different perspective. Firstly, according to the rice suitability assessment for the study area, the area of 5488.9 ha was determined to be suitable for rice cultivation at the S1 and S2 levels, whereas the area of 588.9 ha was determined to be unsuitable. In this study, it was determined that the most successful results for each land conformity class were obtained using the NDVI. In particular, it was determined that August received the highest r2 value (NDVI; 0.8580 and RE-OSAVI; 0.8465) in both vegetation index models at the S1 level, and on the other hand, a higher r2 value was obtained with NDVI.
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