Land Use and Land Change Detection of the Ecosystem by Processing Sentinel Images

The change is an indication of progress. The society is undergoing rampant transformation due to advancement in technology and schemes initiated by the government. However, progress in all sections of the system is preferable to balance the ecosystem. To ensure this, regular monitoring is imperative. The study aims at change detection in various areas of land features such as built-ups, agriculture land, crop area, water bodies, and plantation regions. The area in Ramanagara district of Karnataka is selected as a study area as it has seen rapid growth in industrial hubs consequently in expansion of residential areas and thereby affecting agriculture activities. The land change detection is estimated for a period of seven years using Sentinel remote sensing images and machine learning algorithm and index-based method. The results indicate decline in vegetation index and expansion of built-up area.