EAS Publisher | Using Spectral Indices for Drawing Fire Occurrence (Wheat crop) in Diyala (Eastern Iraq) Using Landsat-8 imagery Airborne Simulator Data

Using Spectral Indices for Drawing Fire Occurrence (Wheat crop) in Diyala (Eastern Iraq) Using Landsat-8 imagery Airborne Simulator Data

DOI : https://doi.org/10.36349/EASJALS.2020.v03i06.008

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This paper tried to detect a burned area that occurred in the Diyala region of Eastern Iraq. In the past, forest and land fire not mostly occur in Iraq. During this time, it is possible that this phenomenon also occurs due to the existence of terrorism, especially the destruction of agriculture regions of the Wheat crop. The data used were Landsat-8, the latest generation of the Landsat series. The research methods include Mosaic method, Clip method, Atmospheric Correction, reflectance pattern analysis, Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) extraction, separability analysis. The results show that P1, P2, P5 , NBRs and NBRL parameter shows the highest values of D-values (most sensitive), to detect the burned area. Then, compared to P1, P2, P5, and NBRs, Normalized Burn Ratio long (NBRL) provide better results in detecting burned areas.

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