Lee Allen Hathcock
Data Acquisitions Coordinator


Office: HPC 230-A
Phone: (662) 325-6768

Mailstop 9652
2 Research Blvd
Mississippi State, MS 39762

Lee Hathcock is a Mississippi State alumnus with a degree in Computer Engineering. He earned both his B.S. and M.S. degrees from MSU, and is currently working on a PhD under Dr. J.W. Bruce. He has taught labs for several years as a graduate student, including Embedded Systems, Microprocessors, and Intro to VLSI courses. He originally hails from Stewart, Mississippi.

2013 Winner of Research Support Award for Mississippi State University Centers and Institutes.

Current projects being worked on include:

    • UAS operations, including piloting and payload design.
    • Data handling for land cover classification project.
    • Hyperspectral camera calibration routines (post-processing imagery to correct for spectral, spatial, and radiance calibration) for USDA aflatoxin detection project.
    • Hurricane debris models, primarily involved in automated download and processing of all data associated with generating damage models associated with hurricane-force winds and rain intensity. Also tweaking the models to improve accuracy and speed of processing.
    • Ph.D. Research (Satellite sensor network modeling)
      Working on a simulator to model a satellite sensor network (similar to ad-hoc or wireless sensor networks, but applied in space to constellations of satellites).
    Past projects include:
    • Small Satellite project, primarily image processing in MATLAB, for creation of DMC satellite surface reflectance product by cross-correlation to MODIS data. Automation of MODIS processing through Python, effectively recreates what the IPOPP package does (written before the program was available to us, and still being used).
    • Balloon tracking project. Work tangentially related to sensor network research with Dr. J.W. Bruce, using Python scripts to parse APRS radio packets received through a Yagi antenna, determine the position, and use a GS-232 antenna controller to keep tracking a balloon. Such a system could, to some degree, emulate a more ad-hoc nature satellite network.

Research Interest:
Wireless Sensor Networks
System Modeling
Image Processing
Embedded Systems
Probability and Statistics
Drawing (pencil/paper)
Video Games

Selected PublicationsTotal Publications by Lee Allen Hathcock:  22 
Prince Czarnecki, J. M., Ramirez-Avila, J. J., & Hathcock, L. A. (2018). Structure from Motion with Unmanned Aerial Vehicles: A Best Practices Guide for New Users. Mississippi State University: Geosystems Research Institute. [Document]

Prince Czarnecki, J. M., Hathcock, L. A., Ramirez-Avila, J. J., Linhoss, A., & Schauwecker, T. J. (2017). Unmanned Aerial Vehicles and Structure from Motion Techniques and Their Use in Protecting Surface Water Quality. 2017 American Water Resources Association Annual Conference. Portland, OR. [Document] [Document Site]

Samiappan, S., Turnage, G., Hathcock, L. A., & Moorhead, R. J. (2017). Probabilistic Neural Network and Wavelet Transform for Mapping of Phragmites Australis Using Low Altitude Remote Sensing. Proceedings of IEEE SIBGRAPI. Niteroi, Brazil. DOI:10.1109/SIBGRAPI.2017.42.

Samiappan, S., Turnage, G., McCraine, C., Hathcock, L. A., & Moorhead, R. J. (2017). Post-Logging Estimation of Loblolly Pine (Pinus Taeda) Stump Size, Area and Population Using Imagery from a Small Unmanned Aerial System. MDPI Drones. 1(1), 15. DOI:10.3390/drones1010004.

Samiappan, S., Turnage, G., Hathcock, L. A., Yao, H., Kincaid, R., Moorhead, R. J., & Ashby, S. (2017). Classifying Common Wetland Plants Using Hyperspectral Data To Identify Optimal Spectral Bands For Species Mapping Using A Small Unmanned Aerial Systems- A Case Study. Proceedings of IEEE IGARSS. Fort Worth, TX.

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