Abstract
Digital change detection is the process that helps in determining the changes associated with land use and land cover properties with reference to geo-registered multi temporal remote sensing data. In this research change detection techniques have been employed to detect the changes in marshes in south of Iraq for two period the first one from 1973 to 1984 and the other from 1973 to 2014 three satellite images had been captured by land sat in different period. Preprocessing such as geo-registered, rectification and mosaic process have been done to prepare the satellite images for monitoring process. supervised classification techniques such maximum likelihood classification has been used to classify the studied area, change detection after classification have been implemented between the new classes of adopted images, and finally change detection using matched filter was applied on the region of interest for each class.
Highlights
Marsh is one of the most important areas in the south of Iraq
In this paper the change detection techniques have been employed to detect the changes in marshes in south of Iraq for two period from 1973 to 1984 and from 1973 to 2015 using three satellite images had been downloaded from the USGS Earth Explorer and captured by land sat in different period
Change detection of land use and land cover considers being very important way to study the environmental changes of any region
Summary
Marsh is one of the most important areas in the south of Iraq. It is considered an economic resource and a tourist resort in the future. In this paper the change detection techniques have been employed to detect the changes in marshes in south of Iraq for two period from 1973 to 1984 and from 1973 to 2015 using three satellite images had been downloaded from the USGS Earth Explorer and captured by land sat in different period. Preprocessing such as geo-registered, rectification and mosaic process have been done to prepare the satellite images for monitoring process.
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