RIce-Net dataset
| Authors: | |
|---|---|
| Owners: | Mahmoud Ayyad |
| Type: | Resource |
| Storage: | The size of this resource is 1.6 GB |
| Created: | Jan 26, 2025 at 7:13 p.m. |
| Last updated: | Jan 27, 2025 at 3:21 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 144 |
| Downloads: | 8 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
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.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | 01/01/2023 |
|---|---|
| End Date: | 02/29/2024 |
Content
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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