Monitoring Vegetation Area in Baghdad Using Normalized Difference Vegetation Index


  • Abeer N. Abdul-Hammed Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq
  • Alaa S. Mahdi Unit of Remote Sensing, College of Science, University of Baghdad, Baghdad



NDVI, Classification methods, Image processing, Remote Sensing


       Vegetation monitoring is considered an important application in remote sensing task due to variation of vegetation types and their distribution. The vegetation concentration around the Earth is increase in 5% in 2000 according to NASA monitoring. This increase is due to the Indian vegetable programs. In this research, the vegetation monitoring in Baghdad city was done using Normalized Difference Vegetation Index (NDVI) for temporal Landsat satellite images (Landsat 5 TM& Landsat 8 OIL). These images had been used and utilize in different times during the period from 2000, 2010, 2015 & 2017. The outcomes of the study demonstrate that a change in the vegetation Cover (VC) in Baghdad city. (NDVI) generally shows a low value of plant cover. The highest NDVI values were occur in 2000 and the lowest values for both years 2015-2017. This change is due to a correlation of climate indices such as precipitation, temperature, and dust storms. This study present that (NDVI) method is a powerful and useful way of monitoring vegetation. The calculation of vegetable areas show (43.3, 37.4, 9.1, and 22.7 Km2). The result were evaluated using (Environment for Visualizing Images ENVI) Ver. 4.8 package.


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How to Cite

Abdul-Hammed, A. N. ., & Mahdi, A. S. (2022). Monitoring Vegetation Area in Baghdad Using Normalized Difference Vegetation Index. Iraqi Journal of Science, 63(3), 1394–1401.



Remote Sensing