Change Detection, Modeling, and Simulation of LCLU Using Multispectral Satellite Images for the Sustainability Development in Najaf City, Iraq

International Journal of Applied Physics

© 2021 by SSRG - IJAP Journal

Volume 8 Issue 2

Year of Publication : 2021

Authors : Kawther Hussein Mohammed, Ahmed Asal Kzar

10.14445/23500301/IJAP-V8I2P109

How to Cite?

Kawther Hussein Mohammed, Ahmed Asal Kzar, "Change Detection, Modeling, and Simulation of LCLU Using Multispectral Satellite Images for the Sustainability Development in Najaf City, Iraq," SSRG International Journal of Applied Physics, vol. 8,  no. 2, pp. 64-71, 2021. Crossref, https://doi.org/10.14445/23500301/IJAP-V8I2P109

Abstract:

Sustainability development is the most important and dangerous issue globally, in the present and future. In this study, remote sensing technology represented by multispectral Landsat images is used to find change detection in classes of land cover and land use that are considered part of the sustainable development goals in this city. The adopted duration time are 2000, 2005, 2009, 2015, and 2020 with five multispectral Landsat images. ERDAS Imagine 2015 is the main program used in this study, where the maximum likelihood method is used for the supervised classification. The results are classified images with accuracies 92.13%, 90.91%, 89.74%, 88.39%, and 85.22%, whereas Kappa coefficient 0.8668, 0.8486, 0.8413, 0.8296, and 0.7805 respectively. The change detection of the area for each class during these years has been realized. The results are an increase in the water bodies area by 6.546%, agricultural lands by 2.8%, And urban land area by 7.719%. In contrast, there is a decrease in the bare lands by -17.068%. The results were followed by modeling from the adopted period, then a simulation for all classes of LCLU for period years (2025- 2050). The outcomes of this study gave useful information for sustainability development through providing a benefit to government institutions related to urban planning, water resources, environment, and agriculture in Al-Najaf city, Iraq. The outcomes of this study are considered as part of achievements that related to the 17 goals of 2015 Paris agreement that should be verified in 2030.

Keywords:

Sustainability development; Remote Sensing; Multispectral; change detection; image Classification.

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