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Events

Geospatial Forum with Dr. Josh Gray – Kalman Filter Applications in Remotely Sensed Imaging

Dr. Joshua Gray | Assistant Professor | Forestry & Environmental Resources | NC State University Kalman Filters are used in a wide variety of signal processing applications to fuse multiple noisy signals and forecast system states. Here, we investigate the potential of Kalman Filters to fuse multisource, multispectral satellite imagery. In particular: obtaining robustly gap-filled…

MGIST Digital Symposium & Professional Showcase

The Professional Showcase is an opportunity for our graduating students to present their Capstone projects in front of the geospatial community at NC State. This includes student peers, alumni, faculty and staff from across the university, and our community and industry partners. This is a tremendous professional development and networking opportunity for our students. The…

Doctoral Seminar – Whalen Dillon

Doctoral Seminar:  Spatial scale, pathogen spillover, and coexistence in an emerging forest disease system.  By Whalen Dillon, candidate for PhD in Forestry and Environmental Resources

Geospatial Forum with Dr. Brian Reich – Deep Spatial Learning for Forensic Geolocation with Microbiome Data

Forensic analyses are often concerned with identifying the spatial source of biological residue. Using recent advances in high-throughput sequencing technologies, dust collected from nearly any object can be shown to harbor DNA fragments from thousands of bacteria and fungi species which may be informative of the source of the dust. We show that training collections…

Geospatial Studio – Leveraging OpenLayers Open Source Mapping Library for creating dynamic web mapping applications

In this hands-on workshop presented by ProStar, you will learn how OpenLayers is leveraged and applied in today's modern GIS web applications. Bring your laptop to become familiar with the OpenLayers library and get started using it. Dan Colby (Senior VP of Product Management, ProStar) will provide an introduction and overview. Nathan Kannan (VP of Product Development, ProStar) will…

Geospatial Forum with Dr. Marc Serre – Incorporating River Distances and Flow in the Geostatistical Estimation of Surface Water Quality in Rivers of North Carolina and Maryland

Assessing water quality along rivers is vital for watershed management. The Bayesian Maximum Entropy method of modern geostatistics provides a powerful framework to model the space/time variability of water quality and perform a statistical assessment of all river miles. This talk presents joint work with Prahlad Jat that describes how river distances and flow can…

Geospatial Forum with Dr. Shaowen Wang – Synergistically Advancing CyberGIS and Geospatial Data Science

CyberGIS represents an interdisciplinary field combining advanced computing and cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains (e.g., emergency management, smart cities, and the nexus of food, energy, and water systems) to enable broad scientific and technological advances. It has also emerged as new-generation GIS based on holistic…

Geospatial Forum with Dr. Dar Roberts – Advanced Spectroscopic, Vertical and Thermal Analysis of an Urban Area

As home to more than 50% of the human population, urban areas are of growing importance as sources of airborne and water-borne pollutants and sinks for increasing amounts of energy and natural resources. Remote sensing has considerable potential to improve our understanding of these areas, but is challenged by the high diversity of urban materials…

Geospatial Forum with Dr. Sandra Yuter – Spatial Frameworks for Analysis of Clouds and Storms

Deciding upon an appropriate spatial frame of reference is an important component of any observational analysis. Geographically fixed frameworks are not always well suited to meteorology, which can be described as the study of patterns within a moving fluid. Data visualization also needs to navigate around human cognitive limitations such as motion-induced failure to detect…