A Matlab-Based Graphical user Interface for Change Vector Analysis in Land Cover Change Detection using

Abstract

Earth's land surface is continuously reshaped by both natural processes and human activities. Accurately detecting these changes in the a timely manner is essential for understanding the complex interplay between human actions and natural phenomena supporting informed decisions in environmental management and resource planning. Change detection methods quantify these temporal variation by analyzing multi-temporal datasets from Earth observation Satellite which provide consistent image quality and regular revisit intervals. Change Vector Analysis (CVA) represent a robust approach for characterizing land cover dynamics, however there are n standardized software packages are available, it may require repetitive manual implementation of algorithms for each image pair, making the process inefficient. This study addresses this limitation by making an integrated learning platform through a Matlab-Based Graphic User Interface. The application utilizes fundamental Matlab function for threshold determination and CVA implementation. The primary advantage of this tool lies in its accessibility and user-friendly design, enabling extraction of critical information including optimal threshold values. BIS and NDVI change vectors directional change and transformation characteristics.