Interoperability Tech Talks

Have you battled through developing and implementing interoperable services and solutions? Do you want to hear lessons learned, best practices, or just tips and tricks for standing up capabilities and functioning in an interoperable environment? Learn from other’s experience and knowledge by attending the Interoperability Tech Talks.

Innovation Pavilion, Exhibit Hall Booth #2003

Tuesday, Oct. 9 (2 P.M. – 4 P.M.)

2:30 P.M. – 2:35 P.M.
Welcome

2:35 P.M.
Analyst Decision Support Tool – Active Natural Hazard Monitor

2:50 P.M.
GEOINT Advances in OGC Web Service (OWS) Testbeds

3:05 P.M.
Resilient Active Data Centers

3:20 P.M.
CLAVIN – Using Open Source & Open Standards for GEOINT

3:35 P.M.
Open Source Software Enables Innovation in Geospatial Enterprise Architectures and Deployments

Wednesday, Oct. 10 (11 A.M. – 12:30 P.M.)

11:00 A.M. – 11:15 A.M.
Welcome

11:15 A.M.
Model-based Analytics with Joint Enterprise Modeling and Analytics (JEMA)

11:30 A.M.
Toward Interdisciplinary Innovation in Human Geography

11:45 A.M.
Using the Google Cloud for Innovative Geospatial Applications

12:00 P.M.
LiDAR Geospatial Repository & Data Management System (GRiD) 3D Database

Wednesday, Oct. 10 (4 P.M. – 6 P.M.)

4:00 P.M. – 4:15 P.M.
Welcome

4:15 P.M.
Transforming GEOINT through Virtualization, Collaboration,
and Secure Mobility

4:30 P.M.
OGC GeoServices REST API Candidate Standard

4:45 P.M.
Secure Identity Propagation: Lessons Learned in Integration & Current Standards Work

5:00 P.M.
Perspectives on Standards for Data Quality Measures in GEOINT

5:15 P.M.
On-Demand GEOINT as GeoPDF Mapbooks

5:30 P.M.
LiDAR Geospatial Repository & Data Management System (GRiD)
3D Database

Thursday, Oct. 11 (11 A.M. – 12:30 P.M.)

11:00 A.M. – 11:05 A.M.
Welcome

11:05 A.M.
The FOUR-Color Framework (4CF)

11:15 A.M.
Op3D: Generating High Fidelity 3D Environments from Imagery and LIDAR Data

11:30 A.M.
Streaming Big Image data with JPIP and HTML5

12:00 P.M.
Managing Big (LiDAR) Data

12:15 P.M.
The Geospatial Data Challenge – Too Much Data/Too Little Information