Upcoming Webinar: Using AI + Satellite Technology To Reduce NRW And Monitor Critical Infrastructure Assets At Scale

March 31, 2026
11:00am-12:00 pm MDT
Moderated by: Paul Gagliardo, Principal Consultant, Gagliacqua Consulting and Host of the Water Entrepreneur Podcast
Matt Bryant, Director of Public Works, City of Duncanville, Texas
Gary Eaton, Retired Director of Operations & Maintenance, San Diego County Water Authority and Executive Vice President of Operations, ASTERRA
Eric Trerotola, Senior Sales Manager, ASTERRA
Traditional leak detection approaches are often localized, labor‑intensive, and can make it difficult to assess priorities system-wide. As utilities seek broader, data‑driven strategies, satellite‑based technology combined with AI analysis has emerged as a proven tool that can detect potable water leaks up to 10 feet underground across large geographic areas of up to 1,000 square miles in a single satellite pass.
This AWWA webinar will discuss how these technologies are being integrated into utility operations to support system-wide monitoring, prioritize field investigations, and inform decision‑making. Hear from the City of Duncanville, Texas, who will share how they leveraged this advanced technology to identify 80 leaks in just 15 days. This webinar will also explore how the same technology can be applied to monitoring critical infrastructure such as earthen dams, levees, and canals. By identifying subsurface soil moisture anomalies, this approach supports inspection programs, enhances safety considerations, and contributes to long‑term asset management.
ASTERRA delivers actionable intelligence for infrastructure management, water conservation, and environmental monitoring using advanced satellite technology and AI. Its solutions help utilities, governments, and industries detect underground leaks, assess soil moisture, and manage water and wastewater systems more efficiently. To date, ASTERRA has helped over 600 customers find over 191,000 leaks and save 840 billion gallons of water and millions of dollars annually.