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| Created: | Mar 08, 2026 at 6:42 p.m. (UTC) | |
| Last updated: | Apr 23, 2026 at 10:02 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
A GRIME-AI analysis of imagery from USGS 04208700 Euclid Creek at Cleveland OH. Imagery taken from July 1st, 2025 - December 31st, 2025 during the time interval 11:00 - 13:00. Workflow intended to use GRIME-AI SAGE and machine learning methods to create a model that successfully identifies sky in the series of images. Attached files include composite slice image of
Results serve as a demonstration of the effect of low-level test image annotation on GRIME-AI model success.
Subject Keywords
Coverage
Spatial
Temporal
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Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| PEP2026: GRIME AI Data and Products for the Pixels to Environmental Patterns Workshop | Troy Gilmore · Nawaraj Shrestha · John Stranzl Jr. · Zach Nickerson | Public & Shareable | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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