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Trust Me: Film + Q&A (February 22, 2024, 5:30 Pm, Sheldon Museum Of Art) [Poster], Sheldon Museum Of Art, University Of Nebraska-Lincoln Feb 2024

Trust Me: Film + Q&A; (February 22, 2024, 5:30 Pm, Sheldon Museum Of Art) [Poster], Sheldon Museum Of Art, University Of Nebraska-Lincoln

Sheldon Museum of Art: Catalogs and Publications

Poster for Trust Me: Film + Q&A held February 22, 2024 at 5:30 PM at the Sheldon Museum of Art (University of Nebraska-Lincoln, Lincoln, Nebraska, United States).

Poster blurb:

In today's information landscape, how do you know whom--and what--you can trust? Watch the award-winning, feature-length documentary Trust Me, which explores how media technology is influencing society and what we can do about it.

A Q&A with Rosemary Smith, filmmaker and managing director of the non-partisan Getting Better Foundation, follows.

More information about the screening is available at https://news.unl.edu/newsrooms/today/article/trust-me-documentary-to-screen-at-sheldon/.

More information about the film is available at https://www.trustmedocumentary.com/ …


Stage And Discharge Prediction From Documentary Time-Lapse Imagery, Kenneth W. Chapman, Troy E. Gilmore, Mehrube Mehrubeoglu, Christian D. Chapman, Aaron R. Mittelstet, John E. Stranzl Jr. Jan 2024

Stage And Discharge Prediction From Documentary Time-Lapse Imagery, Kenneth W. Chapman, Troy E. Gilmore, Mehrube Mehrubeoglu, Christian D. Chapman, Aaron R. Mittelstet, John E. Stranzl Jr.

Department of Biological Systems Engineering: Papers and Publications

Imagery from fixed, ground-based cameras is rich in qualitative and quantitative information that can improve stream discharge monitoring. For instance, time-lapse imagery may be valuable for filling data gaps when sensors fail and/or during lapses in funding for monitoring programs. In this study, we used a large image archive (> 40,000 images from 2012 to 2019) from a fixed, ground-based camera that is part of a documentary watershed imaging project (https://plattebasintimelapse.com/). Scalar image features were extracted from daylight images taken at one-hour intervals. The image features were fused with United States Geological Survey stage and discharge data as …