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Tim Ruggles, imaging engineer

Tim Ruggles
Tim Ruggles, MS, imaging engineer


Tim Ruggles graduated from South Dakota State University with a B.S. in Engineering Physics / Electrical Engineering and a M.S. in Electrical Engineering. He has also taken graduate-level courses towards an M.S. in Computer Science and has worked for Dr. Helder in the IPLAB from April 2000 to September 2007 and from March 2016 to the present. 

Ruggles’s career focus has been on developing and implementing software for use in radiometric characterization and calibration of image data acquired by various Landsat sensors.  His current project, in collaboration with Innovative Imaging and Research Corp., involves development of software and hardware to prototype a radiance source for use in radiometric calibration of the VIIRS Day/Night band.  Other recent work includes updating existing Image Processing Laboratory (IPLAB) analysis tools.  Previous IPLAB work included co-development and implementation of radiometric characterization and calibration algorithms for the Advanced Land Imager Image Assessment System (ALIAS) with USGS EROS Data Center; this work led to the ALIAS development team members receiving the NASA Achievement Award for Software Innovation in 2008.

Outside of the IPLAB, Ruggles has worked at USGS EROS Data Center on implementing algorithms used to perform radiometric characterization of the Landsat 8 OLI and TIRS sensors.  The algorithms are part of the Landsat 8 Image Assessment System (IAS). 


Tim has implemented analysis tools / applications using these programming languages:

  • Python
  • C
  • Interactive Data Language (IDL)

Publications (as co-author):

“Radiometric Characterization and Performance Assessment of the Advanced Land Imager (ALI) Using Bulk Trended Data”, Pecora 16 Conference, 2005

“Landsat-5 Thematic Mapper Radiometric Artifacts”, IEEE Transactions on Geoscience and Remote Sensing, December 2004, pp. 2704-2718

“Landsat-5 TM Reflectance-Based Absolute Radiometric Calibration”, IEEE Transactions on Geoscience and Remote Sensing, December 2004, pp. 2747-2760