Cooperative Agreement for CESU-affiliated Partner with Chesapeake Watershed Cooperative Ecosystem Studies Unit
Sector: Water Supply and Storage • Location: United States of America
Source: Grants.gov
U.S. Geological Survey’s (USGS) Next Generation Water Observing System (NGWOS) Program is offering a funding opportunity to a CESU Partner for research on imagery-based methods to measure streamflow. The application of image velocimetry-based monitoring methods, such as Large-scale Particle (LSPIV) and Space-time (STIV), that integrate image analysis and artificial intelligence techniques is of in
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | U.S. Geological Survey’s (USGS) Next Generation Water Observing System (NGWOS) Program is offering a funding opportunity to a CESU Partner for research on imagery-based methods to measure streamflow. The application of image velocimetry-based monitoring methods, such as Large-scale Particle (LSPIV) and Space-time (STIV), that integrate image analysis and artificial intelligence techniques is of interest to NGWOS. These methods have been deployed by NGWOS at over 50 sites so far and have proven to be effective, but limited depending on sunlight conditions, surface reflections, presence of fog, rain and camera angle/field of view. Under such conditions, flow field reconstruction from image-based velocimetry may become sparse or have lower quality. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
