Spatiotemporal analysis of impervious surface areas on the watersheds of Kaduna Metropolitan Area

Inhaltsverzeichnis (Table of Contents)

• ABSTRACT
• LIST OF TABLES
• LIST OF FIGURES
• INTRODUCTION
• LITERATURE REVIEW
• METHODS
• RESULTS AND DISSCUSION
• CONCLUSION

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This dissertation investigates the spatiotemporal growth of impervious surface areas in Kaduna Metropolitan Area, Nigeria, in relation to the watersheds. Its primary objective is to map and categorize watersheds based on their impervious surface coverage using remote sensing data and Geographic Information Systems (GIS) techniques.

• Spatiotemporal analysis of impervious surface growth
• Watershed categorization based on impervious surface coverage
• Application of remote sensing and GIS techniques
• Assessment of the impact of impervious surface on watershed health
• Prediction of future watershed degradation

Zusammenfassung der Kapitel (Chapter Summaries)

• ABSTRACT: Introduces the study, its objectives, methodology, and key findings. It highlights the importance of understanding impervious surface growth and its impact on watershed health.
• INTRODUCTION: Provides background information on the study area, the problem of impervious surface growth, and the significance of this research.
• LITERATURE REVIEW: Presents a comprehensive review of existing literature on impervious surface areas, their impact on watersheds, and relevant remote sensing and GIS techniques.
• METHODS: Outlines the specific methodologies used in the study, including data sources, image processing techniques, and accuracy assessment methods.
• RESULTS AND DISSCUSION: Presents the results of the spatiotemporal analysis of impervious surface areas and their impact on watershed categorization. This section also includes detailed discussion of the findings and their implications.

Schlüsselwörter (Keywords)

The key terms and concepts explored in this dissertation include: impervious surface areas, watershed management, remote sensing, GIS, spatiotemporal analysis, land use change, environmental impact, Kaduna Metropolitan Area, Nigeria.