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@article{208241,
        author = {V. Vignesh and Dr. Gopal Rajendran},
        title = {AI for Analyzing Satellite Imagery to Monitor Deforestation and Illegal Logging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {4},
        pages = {1134-1143},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208241},
        abstract = {Deforestation and illegal logging constitute major environmental challenges that threaten biodiversity, accelerate climate change, disrupt ecological balance, and negatively affect indigenous and local communities. Traditional methods of forest monitoring, including field surveys and manual inspection of satellite images, are often expensive, time-consuming, and incapable of providing real-time information across large geographical areas. Recent developments in Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), have significantly transformed the analysis of satellite imagery for environmental monitoring. AI-powered systems can process large volumes of multispectral, hyperspectral, radar, and high-resolution satellite data to identify changes in forest cover, detect illegal logging activities, and predict areas vulnerable to deforestation. Technologies such as Convolutional Neural Networks, change detection algorithms, object detection, and time-series analysis enable automated and accurate identification of forest loss. Satellite platforms, including Landsat, Sentinel, and commercial Earth-observation systems, provide continuous data that can be combined with AI models for effective monitoring. This article examines the role of AI in analyzing satellite imagery to monitor deforestation and illegal logging. It discusses the technologies, methodologies, applications, benefits, challenges, ethical concerns, and future possibilities associated with AI-based forest monitoring. The study argues that integrating AI with satellite remote sensing can provide faster, more accurate, and scalable solutions for protecting global forests and supporting sustainable environmental management.},
        keywords = {Artificial Intelligence, Satellite Imagery, Deforestation, Illegal Logging.},
        month = {September},
        }