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
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
