This presentation shares outcomes from a growing community workshop series focused on improving how we combine these local measurements with tools like satellite data, drones, and computer models. We explore new ways to make data more consistent, scalable, and useful for decision-making in areas such as agriculture and forestry. Examples include using drone-based sensors to map field conditions, developing better signal processing and models of how fluxes spread across landscapes, and creating open, shared workflows that help scientists work together more effectively.

We also highlight the importance of working across disciplines and involving early-career researchers and practitioners to shape the future of environmental resource management. This talk aims to spark new ideas for how we can better connect ground-based measurements with large-scale solutions for sustainability.