Title: Real-Time Forest Encroachment Detection Using Remote Sensing


Authors: Chinta Sai Madhurya, Dr. K. Srinivas, Allu Vema Durga Pranav


Published in: Volume 3 Issue 1 Jan June 2026, Page No. 129-135


DOI: 10.63844/IJAITR.v3.i1.2026.129-135 cite


Keywords: NDVI (Normalized Difference Vegetation Index), Remote sensing, Landsat satellite data, Hansen Global Forest Change.


Abstract: Illegal forest encroachment poses a significant threat to biodiversity, ecosystem services, and local livelihoods, particu- larly when driven by agricultural expansion. This study presents Real-Time Forest Encroachment Detection Using Remote Sens- ing, a real-time forest monitoring solution leveraging Landsat satellite data to detect deforestation in the Nallamala Forest re- gion. Using the Hansen Global Forest Change dataset and NDVI metrics, forest cover loss from 2001 to 2022 across Prakasam, Kurnool, Kadapa, Guntur, and Nandyal districts was quantified at a resolution of 30 meters. The region has experienced an average annual forest cover loss of approximately 1,500 hectares, with significant hotspots of deforestation correlating to expanding agricultural boundaries and selective logging activities. The Real- Time Forest Encroachment Detection System automates the detection and visualization of deforested regions, providing spatial maps and quantitative estimates. When implemented, it enables timely interventions, supporting conservation initiatives and compliance monitoring. The results emphasize the effectiveness of satellite-based monitoring for forest conservation, advocating for continuous, scalable solutions to protect critical ecosystems. This observation underscores the potential of integrating Earth observation technologies for advancing global forest conservation efforts.


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