The U.S. Geological Survey (USGS) Great Lakes Science Center is offering a grant to fund a research project aimed at developing a robot-assisted computer vision system for collecting lake bottom photos and extracting data on key biological and physical attributes. The system will utilize an autonomous underwater vehicle provided by USGS to capture well-lit photo mosaics of the lake bottom and analyze features like densities of round goby, presence of Cladophora, and bottom habitat types. This grant opportunity will address management questions concerning invasive species, eutrophication, and habitat conditions on the lake bottom.
Opportunity ID: 302018
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | G18AS00029 |
| Funding Opportunity Title: | Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 1 |
| Assistance Listings: | 15.808 — U.S. Geological Survey Research and Data Collection |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Mar 21, 2018 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | Apr 05, 2018 |
| Current Closing Date for Applications: | Apr 05, 2018 |
| Archive Date: | Jun 21, 2018 |
| Estimated Total Program Funding: | $385,000 |
| Award Ceiling: | $385,000 |
| Award Floor: | $0 |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESUâ¿¿s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Great Lakes Northern Forests (CESU) Program. |
Additional Information
| Agency Name: | Geological Survey |
| Description: | The U.S. Geological Survey (USGS) Great Lakes Science Center is offering a funding opportunity for a new research project to build a robot-assisted computer vision system capable of gathering photos of the lake bottom and automatically extracting information from them about key biological and physical attributes. The computer vision system should consist of an autonomous underwater vehicle (AUV; to be furnished by USGS) customized to gather well-lit and focused stereo photo mosaics of the lake bottom, plus computer algorithms to analyze features present in the images. Bottom features of interest include: (1) densities of round goby and other benthic fishes, (2) presence and volume of water occupied by Cladophora, and (3) bottom habitat type and topographic complexity. Together these data will enable important management questions to be answered about invasive species, eutrophication, and habitat conditions on the lake bottom |
| Link to Additional Information: | https://www.grants.gov/ |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Faith Graves 703-648-7356
fgraves@usgs.gov Email:fgraves@usgs.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
Folder 302018 Full Announcement-FUNDING OPPORTUNITY -> FUNDING OPPORTUNITY.pdf
Packages
| Agency Contact Information: | Faith Graves 703-648-7356 fgraves@usgs.gov Email: fgraves@usgs.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 15.808 | G18AS00029 | Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU | PKG00239523 | Mar 21, 2018 | Apr 05, 2018 | View |
Package 1
Mandatory forms
302018 SF424_2_1-2.1.pdf
302018 ProjectNarrativeAttachments_1_2-1.2.pdf
302018 SF424A-1.0.pdf
302018 SF424B-1.1.pdf
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