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Hurricane Ian caused extensive damage to natural ecosystems in Florida and other areas, particularly affecting forested areas, and assessing the impact of such disturbances is crucial for effective recovery planning and long-term ecosystem resilience. In response, the RapidFEM4D platform was developed as an open-source, web-based mapping tool that provides temporal maps of disturbance severity and recovery for impacted forests. By integrating spaceborne lidar, SAR, and passive optical imagery, the platform generates aboveground biomass density (AGBD) maps to monitor ecological damage and assist in recovery efforts. Feedback from stakeholders has confirmed the essential role of RapidFEM4D in supporting forest management and recovery efforts following hurricane disturbances. It stands as an important tool for advancing sustainable forest management practices, aligning advanced remote sensing capabilities with the practical needs of those responsible for forest recovery and conservation.
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