NV5 to Showcase Geospatial Solutions at Geo Week 2025
Summary
Additionally, NV5 will present its work on topobathymetric lidar and digital twins, and share enterprise GIS solutions leveraging large language models (LLM), artificial intelligence (AI) and machine learning (ML) to help clients transform the way they mitigate risk, plan for growth, manage resources and advance scientific understanding. In recent decades, annual field surveys have shown an increase in the distribution of Spartina alterniflora in Rhode Island marshes, indicating a shift in the ecosystem due to the impacts of sea level rise. Utilizing high-resolution multispectral aerial imagery and detailed field observations, NV5 built ML models to efficiently update the state’s salt marsh habitat maps, which are now being used by local experts to prioritize areas for restoration and to monitor the effectiveness of invasive species eradication efforts. Our study leverages deep learning algorithms, specifically focusing on conditional generative adversarial networks (cGANs) and geospatial datasets to simulate 3D floodwater depth in areas affected by Hurricane Matthew in Lumberton, N.C. Draping orthophotos over a lidar point cloud has been the traditional method for LAS file colorization for some time, but proper co-registration is a challenge. Andrew Brenner, vice president for Solution Engineering, will share examples from Michigan, Missouri, Alaska, Texas, Washington, Pennsylvania and California that show what additional information can be extracted from the source lidar data and other datasets to help agencies manage their water resources and meet their operational requirements.