Recent developments in data fusion, time series analysis, and artificial intelligence (AI) are creating new science and applications in fields such as agricultural decision support, natural resource management, and urban planning. Fused time series data provide critical information supporting more productive and sustainable agricultural practices and enhancing global food security systems. Similarly, data fusion, time series analysis, and AI are enabling new tools for ecosystem health assessment and intelligent urban systems. We have witnessed continuous successes in crop monitoring, yield prediction, water resource assessment, land cover and land use change detection, forest resilience assessment, urban/suburban characterization, coastal wetland mapping, understory species and change detection, and more. This session will focus on showcasing methodologies and applications that use data fusion, time series analysis and AI. We invite you to share findings and discuss how science and technology advancements will contribute to resilience and sustainability of agriculture, natural resources, and urban systems.

• GC - Global Environmental Change
• H - Hydrology
• NH - Natural Hazards