Ecosystem Intelligence: Leveraging AI and Remote Sensing for Predictive Biodiversity Conservation in Fragile Landscapes
Keywords:
Biodiversity monitoring, artificial intelligence, remote sensing, predictive modeling, ecosystem intelligence, fragile landscapes, conservation technologyAbstract
Fragile ecosystems—such as wetlands, tropical forests, and alpine zones—are experiencing rapid degradation due to anthropogenic pressures and climate change. The emergence of artificial intelligence (AI) and remote sensing technologies presents a transformative opportunity for biodiversity conservation in these landscapes. This paper explores the integration of AI models with high-resolution remote sensing data to enable predictive, scalable, and real-time ecosystem intelligence systems. We review literature to establish a foundational understanding, and we propose a framework for predictive biodiversity monitoring. A case study-based illustration and summary table are presented to guide the deployment of such systems in policy and conservation planning.
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