Monitoring of environmental variations of marshes in Iraq using Adaptive classification method.

Authors

  • Ban Abed- Al-Razaq Astronomy and space department, College of Science, University of Baghdad
  • Saif Kamil Shnain Alrafidain University College, Baghdad , Iraq
  • Sara Jawad Abd Al-Hamza Astronomy and space department, College of Science, University of Baghdad

Keywords:

Al-Hammar marsh, k-mean, Neural net, ENVI

Abstract

The object of the presented study was to monitor the changes that had happened
in the main features (water, vegetation, and soil) of Al-Hammar Marsh region. To
fulfill this goal, different satellite images had been used in different times, MSS
1973, TM 1990, ETM+ 2000 and MODIS 2010. K-Means which is unsupervised
classification and Neural Net which is supervised classification was used to classify
the satellite images 0Tand finally by use 0Tadaptive classification 0Twhich is0T3T 0T3Tapply
s0Tupervised classification on the unsupervised classification. ENVI soft where used
in this study.

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Published

2023-03-30

Issue

Section

Astronomy and Space

How to Cite

Monitoring of environmental variations of marshes in Iraq using Adaptive classification method. (2023). Iraqi Journal of Science, 56(3B), 2401-2411. https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/9878

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