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Introduction

Seagrass meadows are vital marine habitats that provide numerous ecological services such as carbon sequestration, sediment stabilization, and nursery grounds for various marine species. However, these ecosystems are under threat from human activities, climate change, and other stressors. In order to effectively conservation and manage seagrass meadows, accurate mapping and monitoring are essential.

With advancements in technology, drone imagery has emerged as a powerful tool for mapping seagrass meadows at high spatial resolutions. The use of drones allows for cost-effective and efficient data collection, enabling researchers to monitor changes in seagrass distribution and density over time.

This thesis aims to explore the potential of drone imagery for mapping seagrass meadows and assess its accuracy and reliability compared to traditional methods. By developing a robust methodology for seagrass mapping using drones, this research will contribute to the conservation and management of these important ecosystems.

Table of Contents
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter Two: Literature Review
2.1 Importance of Seagrass Meadows
2.2 Threats to Seagrass Ecosystems
2.3 Remote Sensing Techniques for Seagrass Mapping
2.4 Drone Technology for Environmental Monitoring
2.5 Previous Studies on Seagrass Mapping Using Drones
2.6 Accuracy Assessment of Drone Imagery
2.7 Challenges and Limitations of Drone Mapping
2.8 Integration of Drone Data with GIS
2.9 Best Practices for Seagrass Mapping Using Drones
2.10 Future Directions in Seagrass Mapping Research

Chapter Three: Research Methodology
3.1 Study Area Selection
3.2 Drone and Sensor Selection
3.3 Data Acquisition and Processing
3.4 Ground Truthing and Validation
3.5 Image Classification Techniques
3.6 Accuracy Assessment Methods
3.7 Comparison with Traditional Mapping Methods
3.8 Statistical Analysis
3.9 Ethical Considerations

Chapter Four: Discussion of Findings
4.1 Mapping Accuracy and Precision
4.2 Comparison with Traditional Methods
4.3 Spatial Distribution of Seagrass Meadows
4.4 Temporal Changes in Seagrass Cover
4.5 Ecological Implications of Mapping Results
4.6 Management Recommendations
4.7 Future Research Directions

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Implications for Seagrass Conservation
5.3 Contribution to the Field of Seagrass Mapping
5.4 Recommendations for Policy and Management
5.5 Conclusion

Thesis Overview

Seagrass meadows are important coastal ecosystems that provide numerous ecological services, but they are facing increasing threats from human activities and climate change. Mapping and monitoring these habitats are essential for effective conservation and management. In recent years, advancements in drone technology have enabled researchers to map seagrass meadows at high spatial resolutions, providing valuable data for monitoring changes in seagrass distribution and density.

This thesis aims to explore the potential of drone imagery for mapping seagrass meadows and assess its accuracy and reliability compared to traditional methods. The research will develop a robust methodology for seagrass mapping using drones, with a focus on data acquisition, processing, and analysis. The study will also investigate the challenges and limitations of using drones for seagrass mapping, as well as the integration of drone data with geographic information systems (GIS) for spatial analysis.

By conducting a comprehensive literature review, research methodology, and discussion of findings, this thesis will contribute to the growing body of knowledge on seagrass mapping using drone imagery. The results of the study will have implications for seagrass conservation, management, and future research directions in the field. Overall, this research will advance our understanding of seagrass ecosystems and the role of drone technology in environmental monitoring.

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