CLEAR Geospatial Webinar Series

The CLEAR Geospatial Training Webinar Series covers topics relating to Connecticut's geospatial data - what's new, how to access and use it, who is doing what with it, and more. If you have a suggestion for a topic, please email clear@uconn.edu and mention the series.

Upcoming Webinars:

Connecticut’s Lidar and Orthoimagery Revisited

Thursday, December 11, 12-1PM
Speakers: Andrew Peters, Catherine Bohn, Dan Bubser, Dewberry
Host: Emily Wilson, UConn CLEAR & Alfredo Herrera, CT GIS Office

This webinar will offer an overview of the entire statewide project that started in 2022 and running through 2026. Dewberry will give a review of the data products produced from the 2023 data.  We will explore the current ways the data is being used and the future possible uses. Lastly, we’ll look forward at the 2026 acquisition and delivery.


The 3D Hydrography Program: Modernizing the Nation’s Water Data Infrastructure (Part 3, Mapping Water in CT)

UPDATE: This webinar is postponed due to the government shutdown. Date TBD.
Speakers: Adam Benthem, USGS & Alfredo Herrera, CT GIS Office
Host: UConn Center for Land Use Education and Research (CLEAR)

In this final installment of a three-part webinar series, we’ll explore the U.S. Geological Survey’s (USGS) effort to remap the Nation’s hydrography through the 3D Hydrography Program (3DHP) and why now is the time for this significant change.

We’ll highlight how 3DHP improves the accuracy and consistency of surface water data by integrating high-resolution, lidar-derived elevation from the 3D Elevation Program (3DEP). 3DHP also will introduce a modern data framework that supports the Internet of Water initiative. This includes capabilities such as hydroaddressing—linking external datasets to the 3DHP hydrography—and enabling river-centric data searches to improve data discovery and integration. These improvements will allow 3DHP to better serve as a foundational geospatial dataset, enabling agencies and stakeholders at all levels to better align and integrate their water-related data.


Previous Webinars: