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| Created: | Jan 26, 2025 at 7:13 p.m. (UTC) | |
| Last updated: | Sep 26, 2025 at 10:35 a.m. (UTC) | |
| Published date: | Sep 26, 2025 at 10:35 a.m. (UTC) | |
| DOI: | 10.4211/hs.ff4e9c4e87ef4d7d923efe77f5ed2b83 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
A computer vision-based framework, River Ice-Network (RIce-Net), uses the USGS nationwide network of ground-based cameras whose images are published through the National Imagery Management System (NIMS), which is available to the public through the Hydrologic Imagery Visualization and Information System (HIVIS; https://apps.usgs.gov/hivis) RIce-Net classifies ice-affected images, segments the ice presence over river surface, calculates the fraction of ice coverage, and automatically generates a near real-time ice flag. The RIce-Net was trained using images from the Milwaukee River near Cedarburg station (https://apps.usgs.gov/hivis/camera/WI_Milwaukee_River_near_Cedarburg) collected in 2023 and tested using images collected in 2024. This repository provides the training data set of the classification and segmentation models.
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Content
README.md
RIce-Net
Description
A computer vision-based framework, River Ice-Network (RIce-Net), uses the USGS nationwide network of ground-based cameras whose images are published through the National Imagery Management System (NIMS), which is available to the public through the Hydrologic Imagery Visualization and Information System (HIVIS; https://apps.usgs.gov/hivis). RIce-Net classifies ice-affected images, segments the ice presence over river surface, calculates the fraction of ice coverage, and automatically generates a near real-time ice flag. The RIce-Net was trained using images from the Milwaukee River near Cedarburg station (https://apps.usgs.gov/hivis/camera/WI_Milwaukee_River_near_Cedarburg) collected in 2023 and tested using images collected in 2024.
Dataset
Segmentation and Classification datasets are available through this hydroshare repository.
Weights
Classification and Segmentation models weights are available through this hydroshare repository.
Codes
The RIce-Net framework is available through the github repo (https://github.com/stevensismart/RIce-Net.git)
Citations
To use this dataset or code, you need to cite the published paper "RIce-Net: Integrating ground-based cameras and machine learning for automated river ice detection" (https://doi.org/10.1016/j.envsoft.2025.106454).
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| NOAA Cooperative Institute Program | NA22NWS4320003 | |
| USGS Next Generation Water Observing System (NGWOS) Research and Development Program |
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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