Thesis Abstract

Abstract
Land use changes have become a critical issue in urban and rural planning due to their significant impact on the environment and society. The integration of Remote Sensing (RS) and Geographic Information Systems (GIS) has provided powerful tools for monitoring, analyzing, and managing land use changes effectively. This thesis aims to investigate land use changes using RS and GIS techniques, focusing on the assessment of urban expansion, agricultural land conversion, and deforestation patterns. The study begins with a comprehensive review of existing literature on land use changes, RS, GIS, and their applications in environmental monitoring. The research methodology involves data collection through satellite imagery, field surveys, and GIS analysis techniques to identify and quantify land use changes over a specific period. Various classification algorithms, such as supervised and unsupervised classification, will be employed to classify land cover types accurately. The findings of the study will be presented and discussed in Chapter Four, highlighting the spatial and temporal patterns of land use changes observed in the study area. The impacts of these changes on the environment, biodiversity, and local communities will be analyzed to provide insights into sustainable land use planning and management strategies. In conclusion, this thesis contributes to the understanding of land use changes using RS and GIS techniques, providing valuable information for decision-makers, planners, and researchers in the field of surveying and geo-informatics. The significance of this study lies in its potential to support sustainable development practices and mitigate the adverse effects of rapid urbanization and land degradation. Keywords Land use changes, Remote Sensing, Geographic Information Systems, Urban expansion, Agricultural land conversion, Deforestation, Environmental monitoring, Sustainability, Spatial analysis, Classification algorithms.

Thesis Overview

The project titled "Analysis of Land Use Changes Using Remote Sensing and Geographic Information Systems (GIS) Techniques" aims to explore the dynamic nature of land use changes through the integration of remote sensing technology and GIS tools. This research endeavor seeks to investigate how these advanced technologies can be leveraged to analyze and monitor land use changes over a specified period. By utilizing satellite imagery and GIS software, the study intends to identify, quantify, and assess the patterns and trends of land use modifications in a particular region. The significance of this research lies in its potential to provide valuable insights into the drivers and impacts of land use changes, which are crucial for sustainable land management and urban planning. By employing remote sensing techniques such as image classification and change detection algorithms, coupled with GIS spatial analysis, the project aims to generate detailed maps and data visualizations that can aid in decision-making processes related to land use planning, environmental conservation, and resource management. Through a comprehensive literature review, the project will delve into existing studies and methodologies related to land use change analysis, remote sensing applications, and GIS techniques. By synthesizing this body of knowledge, the research aims to build upon previous findings and contribute new insights to the field of surveying and geo-informatics. The research methodology will involve data collection, processing, and analysis of satellite imagery to detect land use changes, followed by the integration of GIS tools to map and interpret the results. Various statistical and spatial analysis techniques will be employed to quantify the extent of land use changes, identify patterns, and assess the implications for land management strategies. The findings of this study are expected to provide valuable information for policymakers, land managers, and urban planners to make informed decisions regarding land use planning and development. By understanding the dynamics of land use changes and their underlying causes, stakeholders can better address issues such as urban sprawl, deforestation, and agricultural expansion, and implement sustainable land use policies. In conclusion, the project on the analysis of land use changes using remote sensing and GIS techniques represents a significant contribution to the field of surveying and geo-informatics. By utilizing cutting-edge technologies and innovative methodologies, this research endeavor aims to enhance our understanding of land dynamics and support sustainable land management practices for the benefit of society and the environment.