Title of article
Monitoring the Vegetation and Water Content of Al-Hammar Marsh Using Remote Sensing Techniques
Author/Authors
Muhsin, Israa J. University of Baghdad - College of science - Remote Sensing Unit, Iraq , Mashe, Fouad K. Baghdad University - College of science - Remote Sensing Unit, Iraq , Tawfeeq, Rafid J. University of Baghdad - College of Science - Remote Sensing Research Unit, Iraq
From page
646
To page
651
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, 2002, and MODIS 2009, 2010. A new technique of the unsupervised classification called (Color Extracting Technique) was used to classify the satellite images. MATLAP programming used the technique and separated Al-Hammar Marsh from other water features (rivers, irrigated lands, etc.) when calculated the changes in the water content of the study region. ArcGIS 9.3 (arcMAP, arcToolbox) were used to achieve this work and calculate area of each class.
Keywords
AL , Hammar marsh , hydrology , color extraction technique.
Journal title
Baghdad Science Journal
Journal title
Baghdad Science Journal
Record number
2689665
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