Cooperative Ecosystem Studies Unit, Great Lakes-Northern Forest CESU

The summary for the Cooperative Ecosystem Studies Unit, Great Lakes-Northern Forest CESU 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. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Geological Survey, which is the U.S. government agency offering this grant.

Cooperative Ecosystem Studies Unit, Great Lakes-Northern Forest CESU: This cooperative agreement seeks research into modification of printed map scans leading to delivery of historic geographic data by georeferencing images of lithographically printed topographic maps. These georeferenced images will supplement and enhance the generation map graphics products by: - permitting straightforward manipulation and mathematical transformation of map images to optimize the usability of the map for specific uses such recreation, emergency response, ecosystem/natural resource research and other scientific purposes, or general use. - creating georeferenced electronic files of maps suitable for access through the Web. - present historic cartographic information in a format suitable for viewing and analysis using modern geographic information science processes. - making it easier for customers to meet their programmatic needs/requirements The award recipient will research the scientific process and methods for image transformations of scans of lithographically printed maps to georeferenced digital files. This includes requirements to retain scientific cartographic integrity of the original maps, transformation steps, and automated recognition of the shape and x-y location of the graticule intersection control points for image transformation. The research will determine the feasibility to improve the existing manual georeference process.