AI-Enhanced Remote Sensing Data Analysis for UAV-based Forest Monitoring
Keywords:
Artificial Intelligence (AI), Environmental monitoring, Forest management, Remote sensing, Unmanned Aerial Vehicles (UAVs), Remote sensingAbstract
Integrating Unmanned Aerial Vehicles (UAVs) has become instrumental in diverse sectors, particularly forestry, enabling efficient and expansive surveying. UAVs, enhanced by Artificial Intelligence (AI), are increasingly valuable in forest monitoring and management due to their ability to conduct real-time assessments, monitor ecosystem health, and support decision-making through advanced data analytics. This paper highlights the successful application of AI-enhanced UAVs developed at the Excellence Center of Space Technology and Research (ECSTAR) at King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand. The study uses UAVs equipped with AI-driven analysis for forest monitoring in Khao Yai National Park, Thailand, focusing on deforestation and forest encroachment. These UAVs facilitate effective environmental management, revealing patterns and predicting high-risk areas through AI-aided image analysis and data processing. The study also recommends further AI and UAV integration to enhance forest management practices and mitigate environmental threats in Khao Yai National Park.
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