"GIS, Location Data, Imagery and Machine Learning" Virtual IEEE OC Comp. Soc. & OC ACM Meeting

#Leveraging #machine #learning #methods; #County #of #Los #Angeles; #Using #ML #with #street #level #data; #Urban #infrastructure #and #assets; #Tree #Sensing #Project #[UTSP]; #LARIAC #imagery; #LiDAR #data #collection; #NASA #JPL’s #Airborne #Visible/Infrared #Imaging #Spectrometer #(AVIRIS) #sensor; #Reduce #urban #heat #island #effects; #Sequester #carbon; #air #pollution; #storm #water #runoff.

Full Title  GIS, Location Data, Imagery and Machine Learning: Applications and Opportunities using Geospatial Information in Local Government

Virtual Event Details

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.

Working with both commercial and research organizations the County of Los Angeles is exploring a variety of new ways to take advantage of available data and methodologies. Using ML with street level data to extract information about urban infrastructure and assets and most recently, kicking off our Urban Tree Sensing Project [UTSP] The UTSP will leverage high resolution images from LARIAC imagery and LiDAR data collections in combination with hyperspectral data from the NASA JPL’s Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor to map trees at a much greater level of detail than previously possible. These data are essential to planning for the County’s sustainability plan in assessing opportunities to reduce urban heat island effects, sequester carbon, reduce air pollution and storm water runoff and much more. 

About the Speaker 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). 

Zoom Webinar Instructions for first timers

This will be a ZOOM Webinar. Instructions:
1) Register usinng the External Event link below.
2) Upon completion, and on the same page as the registration, you will get a link to the meeting. [You can also add it to your calendar.]
3) Click on this link to open the webinar.

7:00 PM Announcements and Presentation
8:30 PM Meeting Adjourned;