Great Lakes Remote Sensing
Sector: Education • Location: United States of America
Source: Grants.gov
This is a continuing 2017 Great Lakes Restoration Initiative - Cooperative Agreement for an on-going project to operationally monitor and map changes using remote sensing technologies across the Great Lake Basin. Specifically directed towards temporal mapping of Great Lakes Habitats and Wetlands using new, integrated remote sensing technologies. This is a notice of intent to award single source
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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 | This is a continuing 2017 Great Lakes Restoration Initiative - Cooperative Agreement for an on-going project to operationally monitor and map changes using remote sensing technologies across the Great Lake Basin. Specifically directed towards temporal mapping of Great Lakes Habitats and Wetlands using new, integrated remote sensing technologies. This is a notice of intent to award single source cooperative agreements to the University of Minnesota and Michigan Technological University without competition under justification 505DM 2.14. B. 1, 2 and 4. Competition for the award is not practical as the eligible applicants have the necessary experience and resources to accomplish this project which includes peta-scale datasets and computing to derive the end products. This is a collaborative project to fuse the past strengths and accomplishments of the applicants into a derived multi-temporal habitat and wetland change mapping program. |
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 |
