PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

 

e-ISSN 2231-8526
ISSN 0128-7680

Home / Regular Issue / JST Vol. 30 (1) Jan. 2022 / JST-2526-2021

 

The Detection of Changes in Land Use and Land Cover of Al- Kut City Using Geographic Information System (GIS)

Fatima Asaad Tayeb, Ahmed Kareem Jebur and Husham H. Rashid

Pertanika Journal of Science & Technology, Volume 30, Issue 1, January 2022

DOI: https://doi.org/10.47836/pjst.30.1.40

Keywords: Chemical impacts, GIS, remote sensing, social factors

Published on: 10 January 2022

Models of digital elevation (DEMs), which provide elevation information for the ground surface of the catchment, are core components of computer-based analyzes for drainage basins. Many production methods are available, including contour interpolation, DGPS (Differential Global Positioning System) interpolation, and digital photogrammetry techniques. However, data on the precision and often contradictory nature of these three techniques are sparse. This study aims at identifying some of the contributing factors and comparing the accuracy of various approaches quantitatively. Changes in land coverage break ecosystem cycles, which may directly affect land ability to sustain human activity resulting in long-term trends of decline and inter-annual variability. It can be monitored at a spatial level of detail to enable the study of human-induced changes. Remote sensing techniques (RS) and geographical information system (GIS) methods have been used to extract the spatial and temporal changes of urban land use in the city of Al-Kut. The land sat satellite images taken in periods encompassing 1997, 2007, and 2017 are used. As a result, the city has lost a large part of its urban specificity and gained randomness and disorder in most of its residential neighborhoods, which was especially exacerbated after the change in the governing system in 2003. The results show an increase of 314% and 219% in industrial and residential areas, respectively, whereas agricultural land and open spaces have decreased by 66 % and 32%. The data analysis reveals a diagnostic relationship between land-use conversion and socio-economic drivers. This research sheds light on the total area changes of the Al-Kut city before and after 2003. It highlights the significant destruction of the city life, which was established over almost three centuries.

  • Abd El-Kawy, O. R., Rød, J. K., Ismail, H. A., & Suliman, A. S. (2011). Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography, 31(2), 483-494. https://doi.org/10.1016/j.apgeog.2010.10.012

  • Bajocco, S., De Angelis, A., Perini, L., Ferrara, A., & Salvati, L. (2012). The impact of land use/land cover changes on land degradation dynamics: A Mediterranean case study. Environmental Management, 49(5), 980-989. https://doi.org/10.1007/s00267-012-9831-8

  • Boakye, E., Odai, S. N., Adjei, K. A., & Annor, F. O. (2008). Landsat images for assessment of the impact of land use and land cover changes on the Barekese catchment in Ghana. European Journal of Scientific Research, 22(2), 269-278.

  • Dewan, A. M., & Yamaguchi, Y. (2009). Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005. Environmental Monitoring and Assessment, 150(1-4), 237-249. https://doi.org/10.1007/s10661-008-0226-5

  • Halefom, A., Teshome, A., Sisay, E., & Ahmad, I. (2018). Dynamics of land use and land cover change using remote sensing and GIS: A case study of Debre Tabor Town, South Gondar, Ethiopia. Journal of Geographic Information System, 10(02), Article 83580. https://doi.org/10.4236/jgis.2018.102008

  • Kim, J., Song, J., No, H., Han, D., Kim, D., Park, B., & Kee, C. (2017). Accuracy improvement of DGPS for low-cost single-frequency receiver using modified Flächen Korrektur parameter correction. ISPRS International Journal of Geo-Information, 6(7), Article 222. https://doi.org/10.3390/ijgi6070222

  • Mengistu, D. A., & Salami, A. T. (2007). Application of remote sensing and GIS inland use/land cover mapping and change detection in a part of south western Nigeria. African Journal of Environmental Science and Technology, 1(5), 99-109.

  • Paul, S., Ghosh, S., Oglesby, R., Pathak, A., Chandrasekharan, A., & Ramsankaran, R. A. A. J. (2016). Weakening of Indian summer monsoon rainfall due to changes in land use land cover. Scientific Reports, 6(1), 1-10. https://doi.org/10.1038/srep32177

  • Popovici, E. A., Bălteanu, D., & Kucsicsa, G. (2013). Assessment of changes in land-use and land-cover pattern in Romania using Corine Land Cover Database. Carpathian Journal of Earth and Environmental Sciences, 8(4), 195-208.

  • Prakasam, C. (2010). Land use and land cover change detection through remote sensing approach: A case study of Kodaikanal Taluk, Tamil Nadu. International Journal of Geomatics and Geosciences, 1(2), Article 150.

  • Verburg, P. H., Neumann, K., & Nol, L. (2011). Challenges in using land use and land cover data for global change studies. Global Change Biology, 17(2), 974-989. https://doi.org/10.1111/j.1365-2486.2010.02307.x

  • Xiao, H., & Weng, Q. (2007). The impact of land use and land cover changes on land surface temperature in a karst area of China. Journal of Environmental Management, 85(1), 245-257. https://doi.org/10.1016/j.jenvman.2006.07.016

ISSN 0128-7680

e-ISSN 2231-8526

Article ID

JST-2526-2021

Download Full Article PDF

Share this article

Recent Articles