Change Detection Mechanism Over Multi-spectral Images Using Machine-Learning Techniques

Humans are perpetually in search of ways to enhance their quality of life, yet some of these pursuits inadvertently inflict harm on the environment, affecting land, water, air, and more. Since land is the fundamental resource supporting human existence, it serves as a starting point for our investigation into the alterations that have occurred. Specifically, the Rushikonda region in Andhra Pradesh’s Visakhapatnam district has witnessed noticeable changes in land use based on observations. The objective is to comprehensively study how land use and land cover have evolved in Rushikonda from 2015 to 2021, spanning 6 years. This study sheds light on the far-reaching impacts of shifts in agricultural practices, industrial activities, and land utilization on the environment. The study’s findings underscore the vulnerability of nature, industry, crop patterns, and land use to the scarcity of water resources. Ultimately, the paper concludes that recent analytical approaches have facilitated a broader understanding of land utilization trends, revealing a significant 28% shift in land patterns that can inform construction planning near the Rushikonda area.