SPECTRAL RELATIONSHIPS OF DIGITAL DATA FOR LANDSAT8 OLI VISUALIZATIONS OF LAND COVERS IN FALLUJAH REGION

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Khalid Ibrahim Hussein Al-Issawi, Ahmed Salman Hammadi

Abstract

The study dealt with the effect of reflectivity on the land cover, as the study used a method that combines
remote sensing and geographic information systems to achieve this. Basic samples were taken which
representing the land-cover features, matching them with spectral reflectivity. To do this, data from the Land
sat 8 satellite sensor (OLI) was used to find the reflection wavelengths of these features. When applying the
general equation, the study clarified that many of the earth's surface features studied can be distinguished,
determinate of their location and studied based on their spectral characteristics. Also, the study showed that
the some land coverings cannot be separated naturally by using one wavelength, so the concept of pluralism
was used by using more than one wavelength and sensor for purpose of determining the types of land
features prevailing in the region. The reflectivity values were presented as follows, as represented by the
highest average in the rock cover which represented by the gypsum desert regions at a rate of 0.288,
followed by the gravel desert region sat a rate of 0.257, followed by the urban cover as it represented the
spectral reflectivity of buildings at a rate of 0.248, followed by the streets at a rate of 0.23), then the
vegetative cover as represented the spectral reflectivity of agricultural lands at a rate of 0.148, followed by
the abandoned agricultural lands at a rate of0.204. While it represented the lowest spectral reflectivity values
in the water cover, as it represented the spectral reflectivity of the river and channels at a rate of 0.077,
followed by the surface of lake Habbaniyah, as it represented the highest (0.057).


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