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

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
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 using adaptive classification, which is applied
supervised classification on the unsupervised classification. ENVI was used
in this study.

Keywords: Al-Hammar marsh , k-mean , Neural Net, ENVI

Link :https://www.ijs.uobaghdad.edu.iq/index.php/eijs/article/view/9878

Saif Kamil Shnain

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