Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Sector: Data Center • Location: United States of America
Source: Grants.gov
The U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center is offering a funding opportunity fora researcher with hydro-ecological expertise to develop remote sensing-based water use products and applications for resource managers on a cloud computing platform. The researcher will develop online-based tools and procedures to aid resources managers in monitoring and assessing
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
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 U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center is offering a funding opportunity fora researcher with hydro-ecological expertise to develop remote sensing-based water use products and applications for resource managers on a cloud computing platform. The researcher will develop online-based tools and procedures to aid resources managers in monitoring and assessing landscape water use for applications in drought early warning and water resources management. The research may yield a framework for the effective integration of geospatial datasets with decision-making procedures so that the time lag between data collection, processing and interpretation, and decision making is reduced, implementation is enhanced, and productivity is increased. |
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 |
