Training Data for Streamflow Estimation
Sector: Water Supply and Storage • Location: Greenbelt, Maryland, USA
Source: NASA Earthdata (.gov)
The ACCESS 2019 project aims to create training data for machine learning using ESA's Sentinel-1 C-band SAR data. It focuses on developing a dataset of river width measurements to derive river flow rate estimates, utilizing data that can be collected day and night in all weather conditions.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | under construction |
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 | The ACCESS 2019 project aims to create training data for machine learning using ESA's Sentinel-1 C-band SAR data. It focuses on developing a dataset of river width measurements to derive river flow rate estimates, utilizing data that can be collected day and night in all weather conditions. |
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 |
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