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

• Autorzy: Adeeb Haneen Q. , Al-Timimi Yaseen K.

Identyfikatory

DOI

10.22630/PNIKS.2021.30.1.13

• Języki publikacji: EN

Abstrakty

EN

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

Słowa kluczowe

EN

differencing image; normalized difference; vegetation index; NDVI; salinity index; GIS; Iraq

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
• Rocznik: 2021
• Tom: Vol. 30, No. 1
• Strony: 148--158
• Opis fizyczny: Bibliogr. 12 poz., rys., tab., wykr.

Twórcy

autor

Adeeb Haneen Q.

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

• https://orcid.org/0000-0003-3051-8110

autor

Al-Timimi Yaseen K.

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

• https://orcid.org/0000-0001-5820-0345

Bibliografia

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