Analysis of Concordance between Lidar Vegetation Classification of Vicksburg National Military Park and Ground Truthing Data
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Analysis of Concordance between Lidar Vegetation Classification of Vicksburg National Military Park and Ground Truthing Data: The primary objective of this project is to assess the degree to which vegetation classifications of Vicksburg National Military Park (VICK) based on lidar data are predictive of vegetation communities derived from ground truthing data. Both lidar and ground truth data are available in both leaf-on and leaf-off condition. These analyses will inform the approach taken by the GULN for monitoring vegetation across the network.
Federal Grant Title: | Analysis of Concordance between Lidar Vegetation Classification of Vicksburg National Military Park and Ground Truthing Data |
Federal Agency Name: | National Park Service |
Grant Categories: | Other |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | E11AC60574 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 15.945 |
CFDA Descriptions: | Cooperative Research and Training Programs - Resources of the National Park System |
Current Application Deadline: | Jul 05, 2011 |
Original Application Deadline: | Jul 05, 2011 |
Posted Date: | Jun 28, 2011 |
Creation Date: | Jun 28, 2011 |
Archive Date: | Aug 04, 2011 |
Total Program Funding: | $25,284 |
Maximum Federal Grant Award: | $25,285 |
Minimum Federal Grant Award: | $0 |
Expected Number of Awards: | 1 |
Cost Sharing or Matching: | No |
- Category Explanation
- Biological/Technical Assistance
- Applicants Eligible for this Grant
- Others (see text field entitled "Additional Information on Eligibility" for clarification)
- Additional Information on Eligibility
- This is a "Notice of Intent" of a single source task agreement award to Southern Illinois University, Edwardsville, IL under the Great Rivers Cooperative Ecosystem Studies Unit (CESU). The Cooperator has been working with the Gulf Coast Inventory and Monitoring Network (GULN), conducting the analyses in support of the development of the GULN vegetation monitoring protocol through a sub-agreement with Louisiana State University (LSU). Because this is a unique approach combining field data with lidar-derived vegetation classes, the data analysis approaches are exploratory in nature. Starting this process over with a new investigator would be costly to the NPS in both time and money.
- Grant Announcement Contact
- Tonya Bradley Contract Specialist Phone 402-661-1656
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