Mapping

USGS Historical Quadrangle Scanning Project

By Aileen Buckley, Mapping Center Lead

DDP thumbnail

The U.S. Geological Survey, America’s national mapping agency, announced recently that they are scanning and georeferencing historical USGS quadrangles.

“The Historical Quadrangle Scanning Project (HQSP) is scanning all scales and all editions of approximately 250,000 topographic maps published by the U.S. Geological Survey (USGS) since the inception of the topographic mapping program in 1884. This scanning will provide a comprehensive digital repository of USGS topographic maps, available to the public at no cost. This project serves the dual purpose of creating a master catalog and digital archive copies of the irreplaceable collection of topographic maps in the USGS Reston Map Library as well as making the maps available for viewing and downloading from the USGS Store and The National Map Viewer.”

For additional information contact:

G.J. Allord
National Geospatial Program
U.S. Geological Survey
465 Science Dr., Suite A
Madison, WI 53711
http://www.usgs.gov/ngpo/

About the author

Dr. Aileen Buckley has been making maps since she was an undergraduate student. She has a Bachelors in Geography and Spanish from Valparaiso University, a Masters in Geography from Indiana University, and a Ph.D. in Geography from Oregon State University. She is a senior product engineer on the Living Atlas team, and her work focuses on determining and sharing best practices for mapping and analysis with modern GIS. She publishes and presents world-wide on many aspects of mapping and GIS. She is a co-author of Map Use: Reading, Analysis, Interpretation, and she is a co-editor for the Atlas of Oregon. Aileen is a former president of CaGIS (the U.S. cartographic association) and is actively involved with the International Cartographic Association in which she is the lead delegate for the United States.

Connect:
0 Comments
Inline Feedbacks
View all comments

Next Article

Recreate your standard geography sites in Business Analyst using the Esri 2022 data source

Read this article