In this training, the NASA Applied Remote Sensing Training (ARSET) program in collaboration with the Health and Air Quality Science Team (HAQAST) Tiger Team on Satellite Data for Environmental Justice, will demonstrate how remotely-sensed environmental indicators, specifically for air pollution, can be paired with demographic data to understand disproportionate exposures among minoritized and marginalized population subgroups.
This training will consist of three two-hour sessions and be held online. The first session will provide an introduction to how satellite data have been used in environmental justice (EJ) applications. The second session will focus on satellite remote sensing of air quality, emphasizing aspects of environmental justice related to air pollution exposure. Finally, the third session will have interactive exercises combining satellite and demographic data with EJSCREEN and Python.
The primary focus of this training is on environmental justice issues in the United States, with some additional examples from around the world.
Relevant UN Sustainable Development Goals:
- Goal 3: Ensure healthy lives and promote well-being for all at all ages
- Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
- Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable
- Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management
Time: 13:30-15:30 EDT (UTC-4)
To Register: https://go.nasa.gov/3XAlfLj
By the end of this training attendees will be able to:
- Describe, at a high level, how satellite data have been combined with socioeconomic information to investigate EJ issues such as heat exposure or access to green space
- Identify remote sensing data products which are most relevant to assessing EJ related to air quality and pollutant exposure
- Articulate the benefits and limitations of using remote sensing data to assess EJ concerns related to air quality
- Import relevant air quality datasets into EJSCREEN, and use EJSCREEN to investigate and compare air quality with other environmental and demographic datasets
- Pair appropriate satellite datasets for environmental indicators (air quality) with demographic information using Python
- Community groups and other organizations involved in developing EJ mapping tools
- Researchers analyzing EJ issues, especially related to air quality, and interested in incorporating remote sensing data into their research
- Government, non-profit, and private agencies involved in EJ activities
- Community groups and individuals (especially in the USA) concerned with EJ and interested to learn about the potential of satellite data for informing EJ action
Retweet option: https://twitter.com/NASAARSET/status/1679212299993640972?s=20