GIS, Location Data, Imagery and Machine Learning: Applications and Opportunities 🗓

Sponsor: co-sponsored by the IEEE Orange County Computer Society and the Los Angeles Chapter of the ACM.
Meeting Date: July 21, 2021
Time: 7PM
Reservations: IEEE

This presentation will provide an overview of how local governments use geospatial data and tools with specific examples of image-based data analysts and extraction and propose opportunities to extend these capabilities further by leveraging machine learning methods with an every-expanding pallet of remotely sensed data acquired from sUAS systems (drones) and other field, airborne and spaceborne remote sensing systems.

Bio:STEVEN J. STEINBERG, PH.D., MPA, GISP As Geographic Information Officer (GIO) for LA County Dr. Steinberg guides the geospatial strategy across all departments. He is passionate about the use of geospatial methods to solve real-world problems. Previously Dr. Steinberg served as a Principal Scientist at an environmental research agency and before that was a full-time Professor of Geospatial Science at Humboldt State University, CA. He continues teaching and working with graduate students on a regular basis and is actively involved in geospatial organizations, including a current role as a member of the Board of Directors for URISA International. Dr. Steinberg also serves on National workgroups with the United State Geological Survey (USGS) and the National Institute of Standards and Technology (NIST). He is co-author of two books on GIS research and applications and recently released a co-edited volume, Resilient Communities Across Geographies (Esri, 2021).

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