National Vegetation Classification for Regional Scale Analysis
Sector: Consumer Products • Location: United States of America
Source: Grants.gov
The focus of the projects proposed under this funding opportunity should be on providing regional extent analyses or tools necessary to refine and or apply the current classification. Proposals should focus on a specific level of the hierarchy, i.e. macrogroup, group, but describe how the relationships to higher and lower levels of the classification will be addressed in the research. Proposals
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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 focus of the projects proposed under this funding opportunity should be on providing regional extent analyses or tools necessary to refine and or apply the current classification. Proposals should focus on a specific level of the hierarchy, i.e. macrogroup, group, but describe how the relationships to higher and lower levels of the classification will be addressed in the research. Proposals can include traditional vegetation classification approaches, e.g. ordination, clustering etc., or development of tools necessary to apply the existing classification in support natural resource assessments for a region, e.g. field keys, interactive keys. In addition to the reports and deliverables identified in the proposal, vegetation plot data not otherwise in a permanent archive must be deposited in VegBank or provided in a database consistent with the VegBank data model. |
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 |
