Thesis Abstract

Abstract
Urban areas are dynamic environments characterized by rapid land use changes driven by population growth, economic development, and urbanization. Monitoring these changes is crucial for effective urban planning and sustainable development. Remote sensing techniques offer a powerful tool for capturing spatial and temporal changes in land use patterns. This thesis investigates the application of remote sensing techniques in monitoring land use change in urban areas. The study begins with an introduction that highlights the significance of monitoring land use change in urban areas and the role of remote sensing in this process. The background of the study provides a contextual framework for understanding urban land use dynamics, while the problem statement identifies the gaps in current monitoring practices. The objectives of the study focus on assessing the effectiveness of remote sensing techniques in capturing land use changes, identifying key drivers of change, and evaluating the impact of these changes on urban sustainability. The literature review synthesizes existing research on remote sensing applications in urban land use monitoring, covering topics such as image classification techniques, change detection methods, and the integration of remote sensing with Geographic Information Systems (GIS). The research methodology outlines the data sources, image processing techniques, and analytical tools used to analyze land use changes in the study area. Key components include satellite imagery acquisition, image preprocessing, land cover classification, and accuracy assessment. The findings of the study reveal significant land use changes in the urban area, including expansion of built-up areas, conversion of agricultural land to urban uses, and fragmentation of green spaces. Remote sensing analysis enables the identification of these changes at different spatial scales and provides valuable insights into the driving forces behind urban land use dynamics. The discussion of findings explores the implications of these changes for urban planning, environmental management, and sustainable development. In conclusion, this thesis demonstrates the utility of remote sensing techniques in monitoring land use change in urban areas. By integrating remote sensing data with traditional land use planning approaches, policymakers and urban planners can make informed decisions to promote sustainable development and enhance urban resilience. The study contributes to the growing body of knowledge on remote sensing applications in urban environments and highlights the importance of monitoring land use changes for creating livable and sustainable cities.

Thesis Overview

The research project, titled "Application of Remote Sensing Techniques in Monitoring Land Use Change in Urban Areas," aims to explore the use of remote sensing technology to monitor and analyze land use changes in urban environments. Urban areas are dynamic and complex, experiencing rapid growth and transformation due to various factors such as population increase, urbanization, and economic development. Understanding these changes is crucial for effective urban planning, resource management, and sustainable development. Remote sensing techniques, including satellite imagery, aerial photography, and LiDAR (Light Detection and Ranging), offer valuable tools for monitoring land use changes over time. These technologies provide high-resolution spatial data that can be used to assess urban expansion, land cover changes, infrastructure development, and environmental impacts. By utilizing remote sensing data, researchers and urban planners can gain valuable insights into the patterns and trends of land use change in urban areas. The research will involve the collection and analysis of remote sensing data from various sources to study land use dynamics in selected urban areas. This will include the identification of different land cover types, mapping land use changes over time, and assessing the drivers behind these changes. The study will also explore the integration of remote sensing data with geographic information systems (GIS) to create detailed land use maps and spatial analyses. Through this research, we aim to contribute to the body of knowledge on remote sensing applications in urban planning and environmental management. The findings of the study are expected to provide valuable information for decision-makers, urban planners, and policymakers to support sustainable urban development practices. By understanding and monitoring land use changes in urban areas, we can work towards creating more resilient, efficient, and livable cities for present and future generations.