INTEGRATING AI AND REMOTE SENSING FOR REAL-TIME BIODIVERSITY MONITORING AND ECOSYSTEM HEALTH ASSESSMENT AMIDST CLIMATE CHANGE CHALLENGES

Explores the integration of Artificial Intelligence (AI) with remote sensing technologies for real-time biodiversity monitoring and ecosystem health assessment, emphasizing its relevance amidst intensifying climate change challenges. By leveraging satellite data, drone-based sensors, and AI-driven analytics, researchers and policymakers can achieve precise, scalable, and time-sensitive ecological evaluations. This study highlights recent advancements, comparative technique efficiencies, and presents a framework for responsive, data-driven biodiversity protection.