Both Jeff and Katie emphasize that for geospatial data to be useful in stormwater project implementation and maintenance, it needs to be three things: scalable, understandable, and flexible. When it comes to climate resilience initiatives, land cover data is foundational to all other datasets involved. AI-based technology is critical to ensuring this key criteria, as it enables GIS teams to efficiently and accurately extract land cover data at scale, providing an up-to-date source of information for SUF and similar projects.
Developing a digital twin with geospatial data
As the webinar wraps up, the panelists agree that both public sector organizations and the private companies that work with them would benefit from a digital twin of their AOI. While many government teams are leveraging geospatial insights in some way, the future of climate resilience solutions lies in governments having a unified source of geospatial data across departments. Brandon, Katie, and Jeff all stress the importance of this data as the foundation of a digital twin, and the potential it has to make communities proactive and resilient as more stormwater events occur and the amount of impervious surfaces increases.
Perhaps most importantly, Katie points out that the public sector has a unique opportunity right now to secure federal funding from the bipartisan infrastructure law for climate-related projects. The team at Raftelis specializes in helping government organizations find funding for their projects, and Ecopia has created a cheat sheet of current funding opportunities to help get you started.
This session is filled with great perspective and thought leadership related to stormwater management, impervious surface mapping, and other climate resilience initiatives requiring geospatial data. Check out the full panel discussion below: