UNCOVERING TRANSFORMATION IN FOREST TERRITORIES THROUGH IMAGE ANALYSIS

Abstract

Abstract - The work is change transformation in forest territory through image analysis. The primary natural resource in charge of maintaining climate stability and acting as a carbon sink is the forest. It also makes a major contribution to a nation's social, economic, and cultural advancement. Deforestation and changes in Land Use and Land Cover (LULC) have been occurring for the past few decades because of an increase in mining activities and human encroachment. Thanks to recent developments in remote sensing technologies, we can now estimate the extent of these changes in forest regions and LULC modifications. Worldwide, deforestation and forest degradation caused by human activity pose a danger to forest reserves. Maps of deforestation, forest degradation, disturbances, and the forces behind them are created using satellite imagery and data collected on the ground. The process is achieved by collecting Multi-temporal images from satellite using SIFT ALGORITHM. This system can support responsible forest management practices, ensuring the long-term viability of these natural resources. Keywords: Deforestation, land use/ land cover change, unsupervised categorization.