الرئيسية / الفعاليات العلمية / ابحاث / Using landsat 8 OLI data to predict and Mapping soil salinity for part of an-Najaf Governorate

Using landsat 8 OLI data to predict and Mapping soil salinity for part of an-Najaf Governorate

Ebtihal T. AL-Khakani1, Watheq F.Al-Janabi2, Sa’ad R. Yousif3 and Hamziya M. Al-Kazaali4
1Department of Physics, College of Education for Girls, University of Kufa, An-Najaf, Al-Iraq
2Remote Sensing Center, University of Kufa, An-Najaf, Al-Iraq
3 Department of Geology, Faculty of Science University of Kufa, An-Najaf, Al -Iraq
4 Department of Geography, College of Education for Girls, University of Kufa, An-Najaf, Al-Iraq
ABSTRACT
The most important problems of land degradation are represented by the soil salinization that concentrated
particularly in arid and semi-arid environments due to high levels of temperature and evaporation. The
study focuses on elucidation of the ability of Landsat-8 Operational Land Imager (OLI) sensor data with its
visible and infrared bands for detection and mapping of soil salinity (SS) according to salinity levels in
dispersed locations of An-Najaf Governorate. Seven soil salinity indices (SSI) have been applied and assessed
to detect soil salinity effectually. The multiple linear regression (MLR) has been applied to explore the
correlation between various spectral indices and bands with ground measurements of electrical conductivity
(ECm) for the sake of prediction of the soil salinity. Strong correlations have been found between the (SSIs)
and (ECm). Thematic maps for soil salinity using GIS have been produced and acceptably evaluated
Key words : Prediction, Normalized Difference Salinity Index (NDSI), Salinity Index (SI), Brightness Index(BI), Landsat- 8
(OLI), Electrical Conductivity, GIS

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