The U.S. Caribbean is becoming hotter and drier, and the spread of invasive Caribbean pine (Pinus caribaea) is amplifying wildfire danger, displacing native forests, and increasing hurricane damage. Partnering with local agencies and communities, this project will create the first high-resolution maps of pine invasion and burn scars, predict future risks, and package the results in user-friendly applications for Puerto Rico. The team will also engage with the community and citizen scientists, providing hands-on training in remote sensing and artificial intelligence (AI). Together, these efforts will launch a Regional Resilience Innovation Incubator that supports land managers, policymakers, and landowners in identifying mitigation resources, reducing wildfire risk, and protecting ecosystems, while expanding Science, Technology, Engineering, and Mathematics (STEM) skills and workforce capacity across Puerto Rico and other fire-prone island regions. The project tackles three related knowledge gaps: 1) fine-scale detection of invasive pine trees in rugged subtropical terrain; 2) mapping low-intensity fires that existing satellite fire products often miss; and 3) forecasting coupled vegetation–disturbance dynamics under future scenarios. Using very-high-resolution drone and satellite imagery, the project will deploy state-of-the-art AI models to locate individual Caribbean pine crowns and delineate burn scars, validating results with field plots and community photo transects.