Cooperative Ecosystem Studies Unit, Gulf Coast CESU
Sector: Government • Location: United States of America
Source: Grants.gov
The US Geological Survey is offering funding opportunity to conduct research to advance techniques to extract critical information about the Earth¿s surface from high-resolution topographic data to better understand river channel networks and near-channel environments. Specific tasks are to (i) assess the state-of the-art of feature extraction algorithms by testing them on landscapes of different
Project Information FAQ
Project Information
Want to explore the full details? View the full report
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 US Geological Survey is offering funding opportunity to conduct research to advance techniques to extract critical information about the Earth¿s surface from high-resolution topographic data to better understand river channel networks and near-channel environments. Specific tasks are to (i) assess the state-of the-art of feature extraction algorithms by testing them on landscapes of different characteristics (Eel River, Minnesota River, Death Valley); (ii) develop guidelines directed to lidar practitioners for filtering and feature extraction as a function of dominant landscape processes; (iii) improve scalability and usability of feature extraction tools to allow their distribution as more user-friendly, national-scale, production-grade tools. |
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 |
