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Becker, Brian

Professor

FACULTY

Biography

Dr. Becker is a geospatial scientist specializing in the application of remote sensing to natural resource management. He earned his PhD focused on hyperspectral image processing and information extraction from the Michigan State University.  He has taught and served a variety of roles in the Geography and Environmental Studies Department at Central Michigan University for over 20 years, largely focused on entry level as well as advanced coursework within the geospatial technology domain. He has a multidisciplinary background, with degrees in Biology/Plant Physiology (Eastern Illinois University) and Environmental Engineering/Science (University of Illinois). His hobbies are centered on both fishing and waterfowl hunting across the United States and Canada.  

More about Brian Becker

  • Li, Jiwei; Qian Yu; Yong Q Tian; Brian L Becker; Paul Siqueira; Nathan Torbick, 2018, Spatio-temporal Variations of CDOM in Inland Waters from a Semi-analytical Inversion of Landsat-8, Accepted to Remote Sensing of Environment, 218(2018): 189-200 
  • Li J.W., Q. Yu, Y.Q. Tian, and B. Becker, Remote Sensing Estimation of Colored Dissolved Organic Matter (CDOM) Dynamics in Optically Shallow Waters, ISPRS Journal of Photogrammetry and Remote Sensing, Vol(128): 98–110 (IP: 4.188) 2017 
  • Li, Bin, Daniel A. Griffith, and Brian Becker, 2016, “Spatially Simplified Scatterplots for Large Raster Datasets.” Geo-Spatial Information Science. DOI:10.1080/10095020.2016.1179441. 2016 
  • Zhu W.N., Q. Yu, Y.Q. Tian, B.L. Becker, and H. Carrick, 2015. Issues and potential improvement of multiband models for remotely estimating chlorophyll-a in complex inland waters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 8 No 2 pp 562-575 
  • Zhu, W. N., Yu, Q., Tian, Y. Q., Becker, B., Zheng, T., Hunter, C. (2014). An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments. Remote Sensing of Environment 140, 766-778. 
  • Zhu, W. N., Tian, Y. Q., Yu, Q., Becker, B. (2013). Using Hyperion imagery to monitor the spatial and temporal distribution of colored dissolved organic matter in estuarine and coastal regions. Remote Sensing of Environment 134, 342 - 354. 
  • Nathan Torbick , Sarah Hession , Stephen Hagen , Narumon Wiangwang , Brian Becker & Jiaguo Qi (2013). Mapping inland lake water quality across the Lower Peninsula of Michigan using Landsat TM imagery, International Journal of Remote Sensing, 34:21, 7607-7624 
  • Torbick, N. M., B. L. Becker, S. Hession, J. Qi, G. L. Roloff and R. J. Stevenson, (2010). Assessing invasive plant infestation and disturbance gradients in a freshwater wetland using a GIScience approach, Wetland Ecology and Management. 18: 307-319. 
  • Becker, B. L., N. M. Torbick and D. P. Lusch, (2009). Evaluating Principal Components Analysis for Identifying Bands Using Wetland Hyperspectral Measurements From the Great Lakes, USA. Remote Sensing (ISSN 2072-4292). 1, 408-417. 
  • Torbick, N. and Becker, B., Mapping invasive plants in wetlands, (2009) Journal of Applied Remote Sensing, SPIE Newsroom. DOI: 10.1117/2.1200903.158 
  • Torbick, N. M., F. Hu, J. Zhang, J. Qi, H Zhang and B.L. Becker, 2008. Mapping Chlorophyll-a Concentrations in West Lake, China using Landsat 7 ETM+. Note in Journal of Great Lakes Research, Vol. 34. 559–565. 
  • Torbick, N. M., Becker, B.L., D.P. Lusch and J. Qi, 2008. Characterizing Field-Level Hyperspectral Measurements for Identifying Wetland Invasive Plant Species. In Invasive Species: Detection, Impact and Control (Chapter 4); Editors: C. P. Wilcox and R. B. Turbin. Nova Science Publishers, Inc. ISBN 978-1-60692-252-1 
  • Becker, B.L., D.P. Lusch and J. Qi, 2007. A Classification-based Assessment of the Optimal Spectral and Spatial Resolutions of Coastal Wetland Imagery, Remote Sensing and Environment, Vol. 108: Pp. 111-120. 
  • Becker, B.L., D.P. Lusch and J. Qi, 2005. Identifying Optimal Spectral Bands from In-situ Measurements of Great Lakes Coastal Wetlands using Second Derivative Analysis Remote Sensing and Environment, Vol. 97: Pp. 238-248.
  • Ph.D., Michigan State University, 2002
  • M.S., University of Illinois, 1993
  • B.S., Eastern Illinois University, 1989
  • Applied Remote Sensing
  • Spectral Signature Processing/Analysis
  • Environmental Science
  • Wetland Ecology

Courses Taught

  • Geographic Information Sciences
  • Remote Sensing
  • Image Processing
  • Environmental Science
  • CAD Mapping for GIS