JAILCD2025-014: The Use of AI to Analyze Change and Development in Vernacular Communities of Madura

Abstract

This study presents a simplified approach to mapping and spatial analysis in rural areas using freely available Google Earth imagery and VARI. Focusing on Sentol Hamlet, Madura, we used this method to assess vegetation changes over time, employing AI to process images from various satellite sources. Our results reveal clear seasonal variations in vegetation health, reflecting regional climate patterns and highlighting periods of drought stress. We also used AI to identify the sources of satellite images, helping to understand image quality variations. While effective for tracking long-term vegetation trends, this method has limitations due to image resolution and the lack of infrared data in standard Google Earth imagery. Future research could explore higher-resolution data and application of this research’s analysis techniques for other architectural and urban elements. This work contributes to the search of an accessible and possible analysis method for image analysis for architecture, demonstrating how satellite imagery in RGB format can support land monitoring and understand a site’s climate resilience and rural development.