Enhancing High-resolution Terrain Data Model for Improving the Delineation of Multi-scale Hydrological Connectivity 

Funded by NSF

The project is to create a new geospatial and hydrological modeling approach that improves the identification of rivers and streams using high-resolution digital elevation models (HRDEMs). Accurate identification of these river and stream networks is necessary for monitoring environmental process such as the transport of nutrients and aquatic species. The results will create an intelligent hydrological model by combining methods in geographic information sciences, artificial intelligence and cyberinfrastructure that will enable multi-scale analysis of river and stream networks. The model, algorithms, and datasets generated from this project will be freely available to the public and benefit a broad scope of natural resources management activities, such as watershed monitoring, wetland conservation, and aquatic species protection. The results of this work will be incorporated into educational curriculums and disseminated to the broader educational community. 

News Coverage NSF grant to assist in improving drainage flow path mapping