High Resolution Land Cover Data
The summary for the High Resolution Land Cover Data grant is detailed below.
This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants.
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High Resolution Land Cover Data: This is NOT a request for application. This is just an announcement that the Chesapeake Conservancy has already received an award for their work with High Resolution Land Data. Specifically, the Chesapeake Conservancy will:
1. Develop a 1 meter resolution, 8 class (Water; Tree canopy; Scrub-shrub; Herbaceous/Grass; Barren; Impervious surfaces--roads/other; Impervious surfaces--structures; Impervious surfaces--obscured by tree canopy) land cover dataset, with complete coverage for all counties that intersect the Chesapeake Bay watershed in New York, Pennsylvania, Maryland, Delaware, West Virginia, and the District of Columbia. This data will be produced as a seamless dataset covering the entire project area as well as separated individually by county to make it more accessible to local and state partners.
2. Develop accuracy assessments for each county in the project area that describe the overall and in-class accuracy. The accuracy of land cover will be assessed through the visual interpretation of aerial imagery using a stratified random sampling design (stratified by county and class) with a variable point density based on the heterogeneity of the land cover.
3. Deliver mosaic datasets of the source imagery, DEM data, DSM data derived from the LiDAR point cloud, and canopy/structure height layer used in the classification process. Each data product will be provided as a mosaic dataset composed of the individual tiles processed to the extent of the NAIP imagery footprints.
4. Document the methodologies followed in each step—e.g., data acquisition, processing, quality assurance, and accuracy confirmations—followed in the generation of the resultant land cover dataset.
5. Work with the Virginia Geographic Information Network (VGIN) to ensure the intended accuracy and eight classes of land cover data are fully consistent with VGIN’s work being conducted in parallel to acquire land cover data for all of Virginia.
1. Develop a 1 meter resolution, 8 class (Water; Tree canopy; Scrub-shrub; Herbaceous/Grass; Barren; Impervious surfaces--roads/other; Impervious surfaces--structures; Impervious surfaces--obscured by tree canopy) land cover dataset, with complete coverage for all counties that intersect the Chesapeake Bay watershed in New York, Pennsylvania, Maryland, Delaware, West Virginia, and the District of Columbia. This data will be produced as a seamless dataset covering the entire project area as well as separated individually by county to make it more accessible to local and state partners.
2. Develop accuracy assessments for each county in the project area that describe the overall and in-class accuracy. The accuracy of land cover will be assessed through the visual interpretation of aerial imagery using a stratified random sampling design (stratified by county and class) with a variable point density based on the heterogeneity of the land cover.
3. Deliver mosaic datasets of the source imagery, DEM data, DSM data derived from the LiDAR point cloud, and canopy/structure height layer used in the classification process. Each data product will be provided as a mosaic dataset composed of the individual tiles processed to the extent of the NAIP imagery footprints.
4. Document the methodologies followed in each step—e.g., data acquisition, processing, quality assurance, and accuracy confirmations—followed in the generation of the resultant land cover dataset.
5. Work with the Virginia Geographic Information Network (VGIN) to ensure the intended accuracy and eight classes of land cover data are fully consistent with VGIN’s work being conducted in parallel to acquire land cover data for all of Virginia.
Federal Grant Title: | High Resolution Land Cover Data |
Federal Agency Name: | National Park Service |
Grant Categories: | Other |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | NPS-15-NERO-0023 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 15.935 |
CFDA Descriptions: | National Trails System Projects |
Current Application Deadline: | Apr 12, 2015 This is NOT a request for applicatio |
Original Application Deadline: | Apr 12, 2015 This is NOT a request for applicatio |
Posted Date: | Apr 3, 2015 |
Creation Date: | Apr 3, 2015 |
Archive Date: | Apr 13, 2015 |
Total Program Funding: | $1,307,953 |
Maximum Federal Grant Award: | $1,307,953 |
Minimum Federal Grant Award: | $1,307,953 |
Expected Number of Awards: | 1 |
Cost Sharing or Matching: | No |
- Category Explanation
- This is NOT a request for application. This is just an announcement that the Chesapeake Conservancy has already received an award for their work with High Resolution Land Data.
- Applicants Eligible for this Grant
- Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
- Additional Information on Eligibility
- This is NOT a request for application. This is just an announcement that the Chesapeake Conservancy has already received an award for their work with High Resolution Land Data.
- Grant Announcement Contact
- Jen Fleming
Awarding Officer
Phone 2155976476
Land Cover Data
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