Urban Growth Pattern in Western Zanzibar. Quantification and analysis using remote sensing, GIS and spatial metrics

Table of Contents

1. INTRODUCTION

1.1 Background

1.2 Description of the study area

1.3 Statement of research problem

1.4 Objectives

1.4.1 Main objective

1.4.2 Specific objectives

1.5 Research question

1.6 Significance of the research

1.7 Beneficiaries

1.8 Tools, equipment and facilities

2. LITERATURE REVIEW

2.1 Introduction

2.2 Remote Sensing and Urban Growth

2.3 Spatial Metrics

2.3.1 Densification

2.4 Image Classification

2.4.1 Supervised Classification

2.4.1.1 Support Vector Machine (SVM)

2.4.2 Unsupervised Classification

2.5 Change Detection

2.5.1 Post Classification Comparison

2.6 Resampling

2.6.1 Nearest Neighbour

3. CHAPTER THREE

4. METHODOLOGY

3.1 Introduction

3.2 Data Acquisition

3.3 Image pre-processing

3.3.1 Layer Stacking

3.3.2 Image re-projection

3.3.3 Resampling

3.3.4 Image Sub-setting

3.3.5 Training Samples

3.4 Image Processing

3.4.1 Image Classification

3.4.2 Accuracy Assessment

3.4.3 Change Detection

3.5 Densification

3.5.1 Area stratification

3.5.2 Building Density Extraction

5. CHAPTER FOUR

6. RESULTS AND ANALYSIS

4.1 Introduction

4.2 Results of classification

4.3 Result of accuracy assessment

4.4 Statistics of land cover changes between 1995 and 2009

4.5 Land covers change

4.6 Urban Sprawl

4.7 Result of densification

4.7.1 Building density in 2005

4.7.2 Building density in 2017

7. CONCLUSION AND RECOMMENDATION

5.1 Conclusion

5.2 Recommendation

Research Objective and Focus

This study aims to analyze and quantify the urban growth patterns in the Urban-West region of Zanzibar by integrating remote sensing data, GIS applications, and spatial metrics to provide actionable insights for urban planners and decision-makers.

• Analysis of land cover changes between 1995, 2009, and 2020.
• Computation and assessment of building density variations for 2005 and 2017.
• Utilization of Support Vector Machine (SVM) for accurate land cover classification.
• Evaluation of urban sprawl and its correlation with road networks and population growth.
• Development of a quantitative framework to support informed urban infrastructure planning.

Excerpt from the Book

Summary of Chapters

1. INTRODUCTION: This chapter outlines the context of rapid urbanization in Zanzibar and defines the research objectives and questions necessary for effective urban planning.

2. LITERATURE REVIEW: This section reviews theoretical foundations regarding remote sensing, spatial metrics, and various classification techniques used for monitoring urban land cover changes.

3. METHODOLOGY: This chapter details the data acquisition, image pre-processing, classification algorithms, and the specific GIS techniques applied to quantify building density and urban sprawl.

4. RESULTS AND ANALYSIS: This chapter presents the empirical findings of land cover changes and building density, supported by classified maps, statistical tables, and comparative graphs.

5. CONCLUSION AND RECOMMENDATION: This final chapter synthesizes the research outcomes and suggests future study directions, emphasizing the need for long-term monitoring to control urban development.

Keywords

GIS, Land cover, Remote sensing, Spatial metrics, Urban growth, Urbanization, Zanzibar, Urban-West, Satellite imagery, Change detection, Building density, Urban sprawl, Support Vector Machine, Land use, Urban planning

Frequently Asked Questions

What is the primary focus of this research?

The research focuses on quantifying and analyzing the urban growth patterns in the Urban-West region of Zanzibar using remote sensing, GIS technology, and spatial metrics.

What are the central themes covered in the study?

The central themes include urban land cover change, urban sprawl, building density, and the application of remote sensing for urban planning and development control.

What is the main objective of this study?

The main objective is to analyze and quantify the urban growth pattern in the Urban-West district of Zanzibar to provide reliable data for infrastructure and development planning.

Which scientific methods were employed?

The study utilized supervised image classification with the Support Vector Machine (SVM) algorithm, post-classification change detection, and spatial metrics for building density extraction.

What topics are discussed in the main body?

The main body covers the theoretical background of urban growth, detailed methodology for data processing, results of land cover change analysis from 1995 to 2020, and building density calculations for 2005 and 2017.

Which keywords define this work?

Key terms include GIS, Remote Sensing, Urban-West, Zanzibar, Urban growth, Spatial metrics, and Land cover change.

How does the building density change in Zanzibar?

The study found a drastic increase in building density between 2005 and 2017, with expansion radiating from the eastern part towards the west, north, and south.

Why is this research significant for urban planners?

It provides planners and decision-makers with timely, quantitative data on urban expansion, helping them manage informal settlements and improve service allocation.