Center of Excellence for Geospatial Information Science
U. S. Geological Survey
Denver Federal Center
Box 25046, Mail Stop 510
Denver, CO 80225-0046
Michael P. Finn is a Research Cartographer in the USGS Center of Excellence for Geospatial Information Science. He holds a BS in Geography with a Minor in Cartography and Map Technology from Southwest Missouri State University (now Missouri State University) and an MS in Civil Engineering from Virginia Polytechnic Institute & State University. Mike has worked as a Computer and IT Specialist, and a Research Cartographer with the US Geological Survey for the past 14 years. He also has 17 years of experience with the US Department of Defense; 10 years with the US Air Force and 7 years with the Defense Mapping Agency.
Mike has served on the Boards of Directors of the Cartography and Geographic Information Society, the American Society for Photogrammetry and Remote Sensing (ASPRS), and the Cyberinfrastructure Specialty Group of the Association of American Geographers. He also served as the Director of the GIS Division for ASPRS. Mike served as a Co-Chair of the International Society for Photogrammetry & Remote Sensing’s Technical Commission IV (TC – Geodatabases and Digital Mapping), Working Group 1 (WG – Geospatial Data Infrastructure) for the XXIInd ISPRS Congress (2008 – 2012) and is currently serving as a Co-Chair of TC IV (Geodatabases and Location Based Services), WG 4 (Geospatial Data Infrastructure) for the XXIIIrd ISPRS Congress (2012 – 2016). He is an active member of both the Commission on Map Projections and the Commission on Open Source Geospatial Technologies of the International Cartographic Association. Mike is also the Recent Literature Editor for the journal Cartography and Geographic Information Science.
His research interests are in Data-Centric and High-Performance Computing for scientific applications using digital geospatial data; in geodesy, spatial coordinate systems, and map projections; in quantitative approaches to imaging in environmental modeling and GIS; and in data integration and generalization for GIS.