USE Cases
Green and Grey/Green Infrastructure Solutions
Flood, Wildfire, Drought & Urban Heat Risk Reduction
Restoration Opportunities for Building Resilience
Communities and infrastructure face growing risk from climate and environmental change, aging systems, and incomplete data—making it hard to plan, prioritize, and respond with confidence. Without a way to connect local conditions to broader risk models, critical decisions are often made with an incomplete picture.
Ground Truth turns fragmented data into informed planning — integrating remotely sensed and locally collected data, connecting it across teams, and translating it into clear, real-time decisions.
Ingest and generate data from earth observation, data models, and field activity.
Bring together teams, assets, locations, and opportunities into a single source of truth.
Provide real-time, hyper-local decision support that leads to risk reduction and increased resilience.
By representing real-world conditions, Ground Truth gives teams a more accurate, real-time understanding of water resources, forestry assets, and infrastructure risk, wherever the work is happening.
Ground Truth solves the challenge of disparate data tools, connecting data collection directly to analysis in one integrated solution. The result is faster, more reliable assessments, a shorter path to actionable decisions, and a clear picture of resilience-building over time.
Ground Truth is designed for planning where there’s no margin for error. In disaster-prone areas around the world, decision-makers don’t have the luxury of waiting for delayed or unreliable data—intelligence needs to be accurate, timely, and accountable, because it directly impacts outcomes.
By aligning hyper-local analysis with real-time field insights, Ground Truth ensures teams aren’t just executing work—they’re capturing it in a way that is verifiable, compliant, and defensible. From agency-aligned workflows to proven geospatial methodologies, it is built to support decisions and operations that build a better future.
