Title of article
Monitoring of environmental variations of marshes in Iraq using Adaptive classification method.
Author/Authors
al-razaq, ban abed university of baghdad - college of science - astronomy and space department, iraq , shnain, saif kamil alrafidain university college, Iraq , abd al-hamza, sara jawad university of baghdad - college of science - astronomy and space department, iraq
From page
2401
To page
2411
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 and finally by use adaptive classification which is apply supervised classification on the unsupervised classification. ENVI soft where used in this study.
Keywords
Al , Hammar marsh , k , mean , Neural net , ENVI
Journal title
Iraqi Journal Of Science
Journal title
Iraqi Journal Of Science
Record number
2639157
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