Change on detection of vegetation cover and soil salinity using GIS technique in Diyala Governorate, Iraq

Haneen Q. Adeeb; Yaseen K. Al-Timimi

doi:10.22630/PNIKS.2021.30.1.13

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Published:

Mar 30, 2021

Issue

Vol. 30 No. 1 (2021)

Section

Original papers

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Haneen Q. Adeeb

Mustansiriyah University College of Science, Department of Atmospheric Sciences, Amreaa, 630 Baghdad, Iraq

Yaseen K. Al-Timimi

Mustansiriyah University College of Science, Department of Atmospheric Sciences, Palestine street, 46131, Baghdad, Iraq

DOI: https://doi.org/10.22630/PNIKS.2021.30.1.13

Keywords : differencing image, normalized difference, vegetation index, NDVI, salinity index, GIS, Iraq

Abstract

Soil salinity is one of the most important problems of land degradation, that threatening the environmental, economic and social system. The aim of this study to detect the changes in soil salinity and vegetation cover for Diyala Governorate over the period from 2005 to 2020, through the use of remote sensing techniques and geographic information system. The normalized difference vegetation index (NDVI) and salinity index (SI) were used, which were applied to four of the Landsat ETM+ and Landsat OLI satellite imagery. The results showed an increase in soil salinity from 7.27% in the period 2005–2010 to 27.03% in 2015–2020, as well as an increase in vegetation from 10% to 24% in the same period. Also the strong inverse correlation between the NDVI and the SI showed that vegetation is significantly affected and directly influenced by soil salinity changes

How to Cite

Adeeb, H. Q., & Al-Timimi, Y. K. (2021). Change on detection of vegetation cover and soil salinity using GIS technique in Diyala Governorate, Iraq. Scientific Review Engineering and Environmental Sciences (SREES), 30(1), 148–158. https://doi.org/10.22630/PNIKS.2021.30.1.13

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