North Slope Digital Land Cover Evaluation Project, Alaska
Sector: Consumer Products • Location: United States of America
Source: Grants.gov
This proposed project will result in a North Slope-wide evaluation of the LandFire classifications and the accurate determination of vegetation classes that then can be utilized as the base for producing an accurate and consistent land cover digital product for the North Slope, and other areas in Alaska. The added value of having such information will result in more efficiency in determining fact
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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 proposed project will result in a North Slope-wide evaluation of the LandFire classifications and the accurate determination of vegetation classes that then can be utilized as the base for producing an accurate and consistent land cover digital product for the North Slope, and other areas in Alaska. The added value of having such information will result in more efficiency in determining factors of change and will provide the basis for the downscaling of global climate change models to a regional base. The current LandFire product makes it impossible to compare data and evaluate landscape level changes. Protocols have been developed through a facilitated process over the past 18-months. These protocols are to be followed in evaluating the LandFire data and determining individual land cover associations that can be applied in the future to an accurate North Slope-wide land cover product and provide the basis for utilizing land cover data to evaluate individual vegetation associations throughout Alaska. |
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 |
