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Name: LLoyd Queen
Title: Director/Professor
Phone: 406-243-2709
Email:

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LLoyd Queen is director of the National Center for Landscape Fire Analysis and a Professor of Remote Sensing at the College of Forestry and Conservation, University of Montana.

Bio:
Lloyd Queen is a Professor of Remote Sensing in the Department of Forest Management at the University of Montana. He teaches courses, workshops, and field camps in photogrammetry, remote sensing, GIS, spatial statistics, and geodesy. His research focuses on assessments of landscape dynamics at regional scales. Current sponsored research includes estimation of forest fuels using LIDAR and optical image data, characterization of forest stand dynamics and change monitoring, and development and validation of MODIS prototype terrestrial science products. He is responsible for working on research involving quantitative approaches to natural resources assessment and management utilizing remote sensing and GIS; including the design, development, and integration of digital image analysis and geographic information systems with emphasis on programming and data analysis.

Since May 2000 he has served as the Director of the National Center for Landscape Fire Analysis in the College of Forestry and Conservation at UM.

He received his Ph.D. degree from the University of Nebraska, and worked as a post-doctoral scientist at the University of Minnesota before coming to the University of Montana in 1995. He has twice been awarded a NASA Research Fellowship; served as the Presidential Research Fellow for two years at the University of Nebraska, and is past Chapter President of the American Society for Photogrammetry and Remote Sensing. He is active in several national and state-based initiatives in the adoption and diffusion of information technology for natural resource assessment and monitoring.

Education:
Ph.D., M.A., Water Resources Program, Universities of Nebraska-Lincoln and Omaha.
B.S., Geography/Geology, Minnesota State University

Research Interests:
Remote Sensing/GIS integration
Forest change detection/monitoring
Internet-based data distribution
Fire and fuels characterization using remote sensing