listserv updates

September GRIME-AI Update: NSF Grant Alert!

Posted on by Troy

🚨 Updates 🚨

  • NEW NSF GRANT: Innovative Resources: Cyberinfrastructure and community to leverage ground-based imagery in ecohydrological studies
  • We’re looking forward to starting this in January and sharing GRIME-AI, workflows and data products with the user community! 🎉
  • Details at https://www.nsf.gov/awardsearch/showAward?AWD_ID=2411065

Featured Resource (article, database, etc.)

PhD student John Stranzl has been digging into The Color of Rivers (Gardner et al. 2021). This work is based on satellite remote sensing but is interesting to read with ground-based cameras in mind. The list of citing literature is also worth a look.

Gardner, J. R., Yang, X., Topp, S. N., Ross, M. R. V., Altenau, E. H., & Pavelsky, T. M. (2021). The Color of Rivers. Geophysical Research Letters, 48(1), e2020GL088946. https://doi.org/10.1029/2020GL088946

Featured Photo Information

Silhouettes of three scientists and a trusty Platte Basin Timelapse camera on a tea-colored Sandhills stream.

Credit: Troy Gilmore

Upcoming Events

Conference Sessions focused on image-based research

  • AWRA, UCOWR, NIWR Joint Conference, St. Louis, MO – Sept 30 through Oct 2, 2024
  • Invited lightning talks and panel at EPSCoR National Conference, Omaha, NE – Oct 13-16, 2024 (co-convener Mary Harner); afternoon of Oct 15, after keynote by Platte Basin Timelapse co-founder Mike Forsberg
  • Poster Session at AGU Annual Meeting, Washington, DC – Dec 9-13, 2024 (co-conveners Erfan Goharian, François Birgand, and Chris Terry)

Thanks for viewing!

April 2024 GRIME Software Fans Update

Posted on by Troy

Updates

  • We hope you’ll consider submitting an abstract to the session entitled “Using ground-based time-lapse imagery in ecohydrological studies: Data, software, and applications” at the AWRA/UCOWR/NIWR conference (https://awra.org/Members/Events_and_Education/Events/2024-Joint-Conference/2024_Joint_Abstracts.aspx; Topical Session Code = G). All are welcome! There is also an AI in Watershed Analysis session.
  • GRIME-AI features continue to expand. As part of the image triage (data cleaning) step, we now calculate and store image rotation (camera movement) information for each image.
  • We have had several new GRIME2 releases as we work with a group that is testing octagon targets at their river monitoring sites.

Feature Photo Information

The attached figures are composite images composed of pixel columns from 800 time-lapse images captured midday at an urban pond during 2020-2023. One composite was created using the center pixels from each image, showing ice, algae and vegetation. The other composite shows only vegetation from the far-right pixel columns of each image. Camera movement can easily be detected with these visualizations. Original images courtesy of Aaron Mittelstet and Platte Basin Timelapse. Visualization concept inspired in part by Andrew Richardson (PhenoCam).

Thanks for viewing!

Composite images showing seasonal patterns in vegetation, water quality, and snow cover.

December 2023 GRIME Software Fans Update

Posted on by Troy

Featured Photo

Photo credit: Mary Harner and Troy Gilmore, using a Platte Basin Timelapse (PBT) style camera on the South Branch Middle Loup River near Whitman, NE.

Updates

  • Congratulations to GRIME Lab team member Ken Chapman, who defended his  dissertation and will graduate this month. Great job, Ken!
  • GRIME-related Proposals: two full proposals and a preproposal that involved GRIME software were submitted in November and December.
  • Check out the latest updates on our blog and let us know if/how we can support you project.

Software Information

What is GRIME?

GRIME (GaugeCam Remote Imagery Manager Educational) is open-source commercial-friendly software (Apache 2.0) that enables ecohydrological research using ground-based time-lapse imagery. The first GRIME software for measuring water level with cameras was developed in François Birgand’s lab at North Carolina State University.

What are GRIME2 and GRIME-AI?

GRIME2 and GRIME-AI are the two desktop applications developed by Ken Chapman and John Stranzl, respectively.

Who is involved in the GRIME Lab?

See the growing list at the bottom of our home page: https://gaugecam.org/

We collaborate closely with Mary Harner at University of Nebraska at Kearney: https://witnessingwatersheds.com/