2023 Agenda
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| 8:30 – 9:00 | Registration | ||
| 9:00 – 10:00 | Poster Session & Contest, breakfast & networking | ||
| 10:00 – 10:10 | Welcoming Remarks |
Dr. Tracy DeliBerty, UD Jason Vogl, State of Delaware |
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| 10:10 – 10:25 | Mapping and modeling offshore sand resources | Daniel Warner, Delaware Geological Survey | Beach nourishment is a popular coastal management strategy for stabilizing shorelines and protecting the economic and ecological value of beach and dune systems. The process requires extensive dredging of offshore sand resources, which comes with its own economic and ecological concerns. As this practice continues into the future, it is likely that new sand resources will be needed to meet demands. These new resource areas occupy the outer continental shelf, where competition for space from various marine activities is expected to increase in the coming decades. In partnership with the Bureau of Ocean Energy Management, the Delaware Geological Survey is investigating potential offshore sand resources to guide future surveying and marine management strategies. This was accomplished by extrapolating a machine learning model of offshore sediment quality using physical core data and bathymetric characteristics from Cape Henlopen, DE to Tom’s Cove, VA. |
| 10:25 – 10:40 | On Demand, Custom, Topographic Maps from the USGS with topoBuilder | Eliza Gross, U.S. Geological Survey, National Geospatial Program | The U.S. Geological Survey (USGS) National Geospatial Program has released the topoBuilder application. This application allows users to create custom topographic maps on demand using the best available data derived from the geographic information system (GIS) data of The National Map. In topoBuilder, users can generate USGS topographic maps, called OnDemand Topo, centered anywhere in the United States or Territories, with customized contour smoothing, and GIS-friendly export formats (GeoTIFF or GeospatialPDF). TopoBuilder, its capabilities, and OnDemand Topo maps will be demonstrated |
| 10:40 – 10:55 | Environmental Justice in Delaware | Sharon Ungerer, GISP Delaware Department of Technology and Information |
DNREC and the Department of Technology & Information (DTI) have partnered together on the Environmental Justice initiative in Delaware. Together we have taken a three-pronged approach to data analysis considering pollution burden, socioeconomic factors and ecological services. The pollution burden data used in the tool currently reflects Brownfield sites, waste sites, groundwater management zones, shallow wells, saltwater tide buffers, leaking underground storage tanks, solid and hazardous waste generators, air pollution, coastal flooding risk, water discharge and surface water contamination. At this time, our pollution burden data best represents cumulative impact and is therefore weighted most heavily. The community vulnerability data used in the tool includes socioeconomic factors such as population characteristics like education, age, affordable housing, manufactured communities, rural communities, insurance status, unemployment and internet access. The goal of the analysis was to identify which areas in Delaware are disproportionately impacted by Environmental Justice. DNREC impact mitigation data encompasses ecological services such as green space, tree canopy and outdoor recreation areas. Our methodology is unique as ecological services are often catalogued in separate tools from those tools analyzing pollution burden. Combining these datasets allow us to understand which natural resources may mitigate some concerns and where additional investments can be made. |
| 11:00 – 11:15 | Break | ||
| 11:15 – 11:40 | Career Panel |
Kim Cloud, Location Intelligence Darren Foraker, DNREC Eliza Gross, USGS Sanjay Kumar, Sr Software Engineer, DelDOT |
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| 11:40 – 12:10 | Unlocking Imagery’s Potential: Deep Learning, Analysis, & Visualization (Demonstration) | Eric Wagner, Esri | With aerial imagery, there’s endless possibilities! In this presentation, we’ll explore some of what you can do with your imagery and the ArcGIS system. First, deep learning geoprocessing tools will be applied to Delaware imagery to extract features and classify land cover in ArcGIS Pro. Then, we’ll take those results and see where land cover has changed as well as other analytics. Finally, no analysis is complete without some clear visualization. We’ll show what’s possible with blend modes and effects in the Map Viewer to share your results with others on the web. |
| 12:10 – 12:25 | Closing Remarks (Peart), Closing Remarks (Smith), Poster winners and Giveaways |
Daniel Peart, UD Library Olena Smith, UD IT |
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| 12:25 – 2:00 | Lunch and networking |