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Monitoring Vegetation Degradation in Baghdad

    Author

    • Al-Hussein Nabeel Hussein
,

Document Type : Research Paper

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Abstract

This study examines the use of G.I.S and Remote Sensing in monitoring vegetation growth and Health Problems in part of Baghdad between 1972 and 2021 and to determine whether there has been any degradation in this state between these periods. In this study Landsat Satellites sensors MSS, TM, ETM+, OLI /TIRS were used for NDVI classification combined with RGB images. The results produced from the NDVI images gave a good indication of vegetation degradation through the period (2001 – 2021). The study illustrates that a decrease in Healthy vegetation, with a high drought ratio in (2021). The final result was that the NDVI Landsat image gives an assessment for classifying vegetation health and growth, which give a good indication of healthy vegetation areas and those under risk of unhealthy, climate change, water pollution, air pollution, with many other factors get in the way of limiting growth and development of vegetation in Baghdad. GIS and remote sensing data were used. to monitor the changes of vegetation Health over large areas of Baghdad the capital of Iraq.

Keywords

  • spatial analysis
  • Remote Sensing
  • pollution
  • climate change
  • Iraq
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Alkut university college journal
Volume 7, Issue 2
issue 2
September 2023
Page 178-185
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  • Article View: 49
  • PDF Download: 57

APA

Hussein, A. N. (2023). Monitoring Vegetation Degradation in Baghdad. Alkut university college journal, 7(2), 178-185.

MLA

Hussein, A. N. . "Monitoring Vegetation Degradation in Baghdad", Alkut university college journal, 7, 2, 2023, 178-185.

HARVARD

Hussein, A. N. (2023). 'Monitoring Vegetation Degradation in Baghdad', Alkut university college journal, 7(2), pp. 178-185.

CHICAGO

A. N. Hussein, "Monitoring Vegetation Degradation in Baghdad," Alkut university college journal, 7 2 (2023): 178-185,

VANCOUVER

Hussein, A. N. Monitoring Vegetation Degradation in Baghdad. Alkut university college journal, 2023; 7(2): 178-185.

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