Change Detection for Urban Area (Al Diwaniyah city) and Flat Water (Al Dalmaj marsh) using Multi-Temporal and Static Methods

Iasraa Hussein

doi:10.71229/2qsmg829

Authors

Israa Hussein Department of Physics, college of education, University of Al-Qadisiyah , Diwaniyah, Iraq

DOI:

https://doi.org/10.71229/2qsmg829

Keywords:

Change detection,, Satellite imagery,, Multi-temporal analysis,, Urban areas, , Wetland ecosystems

Abstract

Change detection is considered one of the most important applications in digital image processing, especially for satellite images. In this study, a tripartite strategy was employed to analyse changes in two distinct regions; the city of Diwaniyah in central Iraq and the Al-Dalmaj marsh located from east of the city. The first method utilised multi-temporal image subtraction to identify timing variations among datasets. The second technique depended on statistical analysis, involving estimating standard deviation and other crucial parameters for assessing spectrum and geographically fluctuations. The third aspect was geometric appraisal, particularly required determining the area and perimeter of the target regions to evaluate changes in their spatial attributes over time

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