Welcome to the [Observing Unci Maka] repository, an integral part of the Environmental Data Science Innovation and Inclusion Lab (ESIIL). This repository is the central hub for our working group, encompassing our project overview, proposals, team member information, codebase, and more.
This working group brings together Tribal members, scientists, students and NASA remote-sensing researchers to formulate new methods of using existing earth observation data to identify, monitor, and address environmental impacts on Tribal communities. These methods will be co-developed utilizing culturally-specific data synthesis techniques, which will include leveraging existing resources and hosting community workshops on the Hopi and Pine Ridge Reservations, where members of the working group are from. Both of these Tribal lands are impacted by current and legacy uranium mining, which has lasting effects on the air, water, soils, and health of these communities. During these visits, the working group will discuss how to effectively synthesize available datasets to prioritize new measurements and gaps in resources for addressing and identifying environmental impacts. This will be done through developing new software to identify sources of environmental impacts, degradation, and risk using data from various satellites and surface monitoring networks. Additionally, advancing data sovereignty is a shared goal of this working group and there will be community building, planning, and discussions for how this existing environmental data and future collections can be aligned with traditional ecological knowledge frameworks. Historically, very limited research into the historical impacts of mining has been conducted using remote sensing techniques to address these types of environmental impacts nor have past research efforts been led by the communities impacted, which makes this working group novel and essential.
Working Group Tasks (Pine Ridge, Year 1)
- Full documentation site: https://cu-esiil.github.io/Public-Observing-Unci-Maka
- Guides for CyVerse setup, Docker, data processing, and analysis are in
docs/resources/
- Member 1: Joni Tabacco.
- Member 2: Shannon Boldt.
- Member 3: Vanessa Taho.
- Member 4: Darryl Reano.
- Member 5: Ayia Linquist.
- Member 6. Shawn Serbin.
- Member 7. Max Cook.
- Member 8. Bob Rabin.
- Member 9. Elisha YellowThunder.
- Member 10 Sam Toledo.
- Member 11 Sylvie Alexander.
- Memebr 12 Cynthia Sanders.
- Member 13 Betty Poley.
- Member 14 Debi Nalwood
- Member 15 Summer Dupreee
- Member 16 Gabriel Talayumptewa
- ...
- [Link to more detailed bios or profiles if available.]
notebooks/— Jupyter notebooks for HLS reflectance, valley bottom extraction (VBET), EMIT remote sensing, and STELLA field data visualizationdata/— Study area boundaries and ground control points (Craven Canyon / Pine Ridge)tools/emit/— NASA EMIT data access tools, tutorials, and Python modulestools/STELLA/— STELLA-Q2 field spectrometer data outputsdocs/— Project documentation, meeting notes, and the mkdocs site sourcedocker/— Dockerfile and environment for the CyVerse JupyterLab imageenvironment.yml— Conda environment for running project notebooks locally or on CyVerse
- Regular updates to keep all group members informed and engaged with the project's progress and direction.
- Contributions from all group members are welcome.
- Please adhere to these guidelines:
- Ensure commits have clear and concise messages.
- Document major changes in the meeting notes.
- Review and merge changes through pull requests for oversight.
- For CyVerse and environment setup, see
docs/resources/cyverse_basics.md - For issues with the repository, open a GitHub Issue or contact the maintainers directly