Urban Expansion Monitoring in Erbil City. Utilizing Remote Sensing tools in the Kurdistan Region

Inhaltsverzeichnis (Table of Contents)

• Abstract:
• Acknowledgments.
• Chapter one: Introduction.....
  • 1.1: Introduction.
  • 1.2: Significance of the study
  • 1.3: Statement of the problem........
  • 1.4: Aim of the study.
  • 1.5: Research question........
  • 1.6: Organization of the Thesis......
• Chapter two: Literature review
  • 2.1: Introduction
  • 2.2: History of application Remote Sensing.
  • 2.3: Identifying urban land use change.……………………..
  • 2.4: Urban change detection approach
  • 2.5: Methods of digital image processing of satellite images…....
    • 2.5.1: Image classification
    • 2.5.2: Accuracy of image classification...
• Chapter three: Data and Methodology.
  • 3.1: Introduction
  • 3.2: Description of the Study area
  • 3.3: Data used in this study.
  • 3.4: Method.
  • 3.5: Analysing Satellite images
    • 3.5.1: Layer Stacking.
    • 3.5.2: Subset of study site.
    • 3.5.3: Choosing of appropriate band combinations
    • 3.5.4: Image Pre-processing...
  • 3.6: Image classification scheme...
  • 3.7: Image classification.
    • 3.7.1: Accuracy assessment
  • 3.8: Change detection
• Chapter four: Result and discussion....
  • 4.1: Introduction
  • 4.2: Results
    • 4.2.1: Image pre-processing..
    • 4.2.2: Analysis of Supervised classification
    • 4.2.3: Reclassification.
    • 4.2.4:Post-classification change detection techniques .......
    • 4.2.5: Accuracy assessment
  • 4.3: Discussion...
    • 4.3.1: Image pre-processing and supervised classification..
    • 4.3.2: Reclassification
    • 4.3.3: Post-classification change detection
    • 4.3.4: Accuracy assessment
• Chapter five: Conclusion and Recommendation.
  • 5.1: Limitations of the research
  • 5.2: Contributions of the research to the body of knowledge..
  • 5.3: Conclusion.
  • 5.4: Recommendations.
• References:
• Appendices.
• List of Figure:
• List of Table:

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This study aims to analyze and visualize the spatial patterns of urban land use changes in Erbil City, Kurdistan, using remote sensing techniques. It quantifies the variations in land use classes over time by examining multi-date Landsat 5 TM imagery. The research utilizes supervised classification and accuracy assessment methods to measure the extent of land cover changes and their implications for urban planning and resource management.

• Urban expansion and land use change in Erbil City, Kurdistan.
• Application of remote sensing and image processing techniques for land cover analysis.
• Spatial patterns and rates of change in urban land use classes.
• Assessment of the accuracy of classification and change detection results.
• Implications for urban planning and resource management.

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter one introduces the study, outlining its significance, the research problem, the aim, research question, and the organization of the thesis. Chapter two delves into the literature review, exploring the historical application of remote sensing, identifying urban land use change, urban change detection approaches, and methods of digital image processing of satellite images including image classification and accuracy assessment. Chapter three focuses on the data and methodology, providing a description of the study area, the data used, and the methods employed. Chapter four presents the results and discussion, showcasing the image pre-processing, supervised classification, reclassification, post-classification change detection techniques, and accuracy assessment results. Finally, Chapter five concludes the study, highlighting limitations, contributions to the body of knowledge, and recommendations for future research.

Schlüsselwörter (Keywords)

This research focuses on urban land use change, remote sensing, image classification, change detection, accuracy assessment, urban planning, and resource management. It utilizes Landsat 5 TM imagery, supervised classification, maximum likelihood classifier, and confusion matrix techniques to analyze and quantify the spatial patterns of urban expansion in Erbil City, Kurdistan.