Authors : Dr. Ramesh Kulkarni, Ms. Shweta Deshmukh
Abstract : The integration of Artificial Intelligence (AI) in remote sensing has transformed the capabilities of environmental monitoring, enabling real-time analysis and decision-making. AI techniques such as deep learning, machine learning, and computer vision enhance the extraction of meaningful information from satellite imagery, aerial photography, and UAV data. These advancements are particularly valuable for applications including disaster management, pollution tracking, climate change assessment, and biodiversity conservation. This paper discusses the framework, technological advancements, and challenges associated with AI-powered remote sensing for real-time environmental monitoring. Furthermore, case studies are presented to highlight the effectiveness of AI in handling complex environmental datasets and producing actionable insights.
Keywords : Artificial Intelligence, Remote Sensing, Environmental Monitoring, Real-Time Analysis, Deep Learning, Climate Change
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