#AITradingAffectsForex Automated forest inventory for forest climate change adaptation planning involves using advanced technologies and tools to collect, analyze, and interpret forest data. These technologies, including remote sensing, LiDAR (Light Detection and Ranging), drones, and artificial intelligence, help in assessing forest health, structure, and composition more efficiently and accurately than traditional methods. The primary goal is to monitor changes in forest ecosystems due to climate change, including shifts in species distribution, tree growth, and forest cover. Automated systems enable real-time data collection and provide detailed information on forest dynamics, supporting climate adaptation strategies. These data-driven insights can guide decision-making processes for forest management, including identifying vulnerable areas, optimizing carbon storage, and planning for biodiversity conservation. Automation reduces human error, increases scalability, and improves the speed and accuracy of forest inventories, thus enhancing the ability to respond to climate challenges.