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2021 GIA Workshops

  • April 19, 2021
  • 1:00 PM
  • April 22, 2021
  • 5:00 PM
  • Virtual Event


  • Take a tour in Arc using lidar data and see the many products and tools that can be made with lidar data. Students will be provided with a dataset and full tutorial on the processes and tools that will be demonstrated.

    1-3:50 PM, April 19th
  • GIS is critical to a fully functioning Infrastructure Asset Management Program. We will walk through each step of a supporting GIS to achieve the goal of assessing and analyzing asset Risk and Criticality.

    3-4:50 PM, April 20th
  • The aim of this workshop is to present the latest developments in which community and citizen science are creating and contributing open-access geospatial data. With the proliferation of mobile technology that are location-enabled, there are emerging opportunities to teach foundational geospatial concepts, engage communities in quality-controlled data collection, and developing the ‘people’ component of a geographic information system (GIS). To demonstrate a process for using a citizen science tool, you will be introduced and use a mobile app developed by the NASA-supported Global Learning and Observations to Benefit the Environment (GLOBE) Program. Weather and local regulations permitting, you can go outside and collect data related to tree height, land cover, and clouds. Then we will explore and compare this type of data to authoritative geospatial data maintained by local, state, and federal organizations. Finally, we will facilitate a discussion on recommendations for key areas in which communities could continue involvement in building and maintaining maps, GIS, and the needed open access data. This workshop is sponsored by OregonView.

    3-4:50 PM, April 21st
  • This workshop is comprised of two parts. First we highlight ways that GIS can contribute to achieving community resilience highlighting case studies and share methods for community empowerment by leveraging spatial thinking and GIS. In the second portion we will introduce the activities and opportunities to engage with resilience in context of the United Nations Sustainable Development Goals and a new URISA International working group for Climate Change and Climate Equity. In this workshop we engage with attendees to identify experiences and opportunities for community engagement to address these challenges.

    1-2:50 PM, April 22nd
  • Discover the powerful capabilities that Free and Open Source Software (FOSS)[1] has to offer for remote sensing tasks and beyond. This 4-hour workshop will demonstrate how to perform a land cover analysis using Sentinel 2 imagery[2] using two different approaches. Participants are welcome to follow along with the workflow on their own machines if desired. Examples will include both the use of “Maximum Likelihood” and “Random Forest” classification algorithms. The first approach will show how to do a land cover analysis on QGIS desktop (on windows), while the second approach covers how to use the Goggle Earth Engine platform(GEE)[5] (a cloud-computing-platform based earth analysis engine) to do the same.

    April 22nd, 1-3:50 PM
  • The focus of this workshop is on emerging best practices for doing work with geographic information science & technology (GIS&T) for issues related to equity and social justice (ESJ). During the past decade many government agencies have begun to apply an equity lens to public policies, projects, and programs. On January 20, 2021, President Biden signed an Executive Order ‘On Advancing Racial Equity and Support for Underserved Communities Through the Federal Government’ that recognizes the key role of geography and IT.
    This workshop will review recently published best practices on using GIS&T for ESJ, including data management, data sources, geospatial analysis, cartographic display, general visualization, and the use of dashboards – all within the context of a GIS&T to ESJ lifecycle. The workshop will also cover ideas for community involvement in GIS&T based ESJ work.

    3-4:50 PM, April 22nd
  • This workshop is an introduction to the ‘big data’ analysis capabilities of Google Earth Engine via the Python API, including accessing remote sensing and model data collections, calculating spectral indices, and sampling environmental variables for areas of interest. Using the ' area descriptions' created by the US ' Home Owners' Loan Corporation' (HOLC) i n the l ate 1930s (the origin of the term ‘redlining’ ) that were compiled digitally by the Mapping Inequality project, the workshop characterizes modern day environmental conditions i n the different HOLC grades using measures such as l and surface temperature, vegetation greenness, and seasonal temperature variations.

    3-4:30 PM, April 20th

WORKSHOPS as part of




This event will be entirely virtual via Portland State University on

April 19th-22nd 2021

See the program for the full schedule of workshops.


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