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Troy  Magney's Picture
Jet Propulsion Laboratory
M/S 233-300
4800 Oak Grove Drive
Pasadena, CA 91109
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Troy Magney

  • Ph.D., Natural Resources; Geospatial Laboratory for Environmental Dynamics, University of Idaho (2015)
  • B.A., Geography – Physical; Division of Natural Sciences and Mathematics, University of Denver (2010)
  • B.A., International Studies – Global Political Economics; Joseph Korbel School of International Studies, University of Denver (2010)
  • International Sustainable Development Studies Institute, Chiang Mai, Thailand (2008)

Research Interests

  • Remote sensing of vegetation structure and function
  • Solar-induced chlorophyll fluorescence
  • Plant biophysics and radiative transfer
  • Environmental education

Professional Experience
  • NASA Postdoctoral Fellow, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA (2015-present)
  • NASA ISGC Graduate Fellow, University of Idaho, Moscow, ID (2013-2015)
  • Instructor and Teaching Assistant, University of Idaho, Moscow, ID (2011 -2014)
  • USDA Research Assistant, University of Idaho, Moscow, ID (2011-2013)
  • Field Instructor, McCall Outdoor Science School, McCall, ID (2010-2011)
  • Field Technician, University of Denver, Denver, CO (2009-2010)

Selected Awards
  • NASA Postdoctoral Program Fellowship (2015-)
  • Outstanding Doctoral Student Research and Creativity Award, U Idaho (2015)
  • College of Natural Resources Overall Outstanding Graduate Student, U Idaho (2015)
  • Department of Forest, Rangeland, and Fire Sciences Outstanding Doctoral Student, U Idaho (2015)
  • G.A. Harris Instrumentation Fellowship, Decagon Devices (2014)
  • NASA ISGC Graduate Fellowship (2013-2015)
  • Dr. Thomas M. Griffiths Award for Distinguished Research and Scholarship, University of Denver (2010)

Selected Publications
  1. H.E. Greaves, T.S. Magney, J.U.H. Eitel, N.T. Boelman, C.M. Prager, K.L. Griffin, L.A. Vierling. (2017). Terrestrial lidar for evaluation and calibration of airborne-lidar-derived shrub biomass estimates in Arctic tundra. Remote Sensing Letters. 8 (2), 175-184. doi: 10.1080/2150704X.2016.1246770
  2. J.T. Gersony, C.M. Prager, N.T. Boelman, J.U.H. Eitel, L. Gough, H.E. Greaves, K.L.  Griffin, T.S. Magney, S.K. Sweet, L.A. Vierling, S. Naeem. (2016). Scaling thermal properties from the leaf to the canopy in the Alaskan arctic tundra. Arctic, Antarctic, and Alpine Research. doi: 10.1657/AAAR0016-013
  3. G. Zheng, L. Ma, J.U.H. Eitel, T.S. Magney, L.M. Moskal,  M. Li. (2016).  Retrieving Directional Gap Fraction, Extinction Coefficient, and Effective Leaf Area Index by Incorporating Scan Angle Information From Discrete Aerial Lidar Data. IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2016.2611651
  4. J.U.H. Eitel, T.S. Magney, L.A. Vierling, H.E. Greaves, G. Zheng. (2016). An automated method to quantify crop height and calibrate satellite-derived biomass using hypertemporal lidar. Remote Sensing of Environment. 187, 414-422. doi: 10.1016/j.rse.2016.10.044
  5. J.U.H. Eitel, B. Höfle, L.A. Vierling, A. Abéllan, G. Asner, J.S. Deems, C. Glennie, P.C. Joerg, A. LeWinter, T.S. Magney, G. Mandlburger, D. Morton, J. Müller, K. Vierling. (2016). Beyond 3-D: the new spectrum of lidar applications for earth and ecological sciences. Remote Sensing of Environment. 186, 372-392. doi: 10.1016/j.rse.2016.08.018
  6. T.S. Magney, J.U.H. Eitel, L.A. Vierling. (2016). Mapping wheat nitrogen uptake from RapidEye vegetation indices. Precision Agriculture. doi:10.1007/s11119-016-9463-8.
  7. N.T. Boelman, J.D. Holbrook, H.E. Greaves, J.S. Krause, H.E. Chmura, T.S. Magney, J.H. Perez, J.U.H. Eitel, L. Gough, K.T. Vierling, J.C. Wingfield, L.A. Vierling. (2016). LiDAR gives a bird’s eye perspective on arctic tundra breeding habitat at multiple spatial scales. Remote Sensing of Environment, 184: 337–349. doi:10.1016/j.rse.2016.07.012
  8. L. Ma, G. Zheng, J.U.H. Eitel, T.S. Magney, L.M. Moskal. (2016). Determining woody-to-total area ratio using terrestrial laser scanning (TLS). Agricultural and Forest Meteorology, 228: 217–228. doi:10.1016/j.agrformet.2016.06.021
  9. H.E. Greaves, L.A. Vierling, J.U.H Eitel, N.T. Boelman, T.S. Magney, C.M. Prager, K.L. Griffin. (2016). High-resolution mapping of aboveground shrub biomass in Arctic tundra using airborne lidar and imagery. Remote Sensing of Environment, 184, 361–373. doi:10.1016/j.rse.2016.07.026
  10. N.T. Boelman , T.S. Magney, B.A. Logan., K.L. Griffin, J.U.H. Eitel, H. Greaves, C.M. Prager, L.A. Vierling (2016). Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies. Oecologia, 182:85-97. doi:10.1007/s00442-016-3646-x
  11. T.S. Magney, J.U.H. Eitel, K.L. Griffin, N.T. Boelman, H.E. Greaves, C.M. Prager, B. A. Logan, G. Zheng, L. Ma, E.A. Fortin, R.Y. Oliver, L.A., Vierling (2016). LiDAR canopy radiation model reveals patterns of photosynthetic partitioning in an Arctic shrub. Agricultural and Forest Meteorology, 221:78-93. DOI:10.1016/j.agrformet.2016.02.007
  12. T.S. Magney, L.A. Vierling, J.U.H. Eitel, D.R. Huggins, S.R. Garrity (2016). Response of high frequency Photochemical Reflectance Index (PRI) measurements to environmental conditions in wheat. Remote Sensing of Environment, 173:84-97. DOI:10.1016/j.rse.2015.11.013
  13. T.S. Magney, J.U.H. Eitel, D.R. Huggins, L.A. Vierling (2016). Proximal NDVI derived phenology improves in-season predictions of wheat quantity and quality. Agricultural and Forest Meteorology, 217:46-60. DOI:10.1016/j.agrformet.2015.11.009
  14. H.E. Greaves, L.A. Vierling, J.U.H. Eitel, N.T. Boelman, T.S. Magney, C.M. Prager, K.L. Griffin (2015). Estimating aboveground biomass and leaf area of low-stature Arctic shrubs with terrestrial LiDAR. Remote Sensing of Environment, 164. DOI:10.1016/j.rse.2015.02.023
  15. T.S. Davis, N. Bosque-Perez, N.E. Foote, T.S. Magney, S.D. Eigenbrode (2015). Environmentally dependent host–pathogen and vector–pathogen interactions in the Barley yellow dwarf virus pathosystem. Journal of Applied Ecology, 52(5):1392-1401. DOI: 10.1111/1365-2664.12484
  16. P. Z. Klos, J.T. Abatzoglou, A. Bean, J. Blades, M.A. Clark, M. Dodd, T.E. Hall, A. Haruch, P.E. Higuera, J.D. Holbrook, V.S. Jansen, K. Kemp, A. Lankford, T.E. Link, T.S. Magney, A.J.H. Meddens, L.R. Mitchell, B. Moore, P. Morgan, B.A. Newingham, R.J. Niemeyer, B. Soderquist, A.A. Suazo, K.T. Vierling, V. Walden, C. Walsh (2015) Indicators of climate change in Idaho: An assessment framework for coupling biophysical change and social perception. Weather, Climate, and Society, 7(3). DOI:10.1175/WCAS-D-13-00070.1
  17. C.K. Gasch, T. Hengl, B. Gräler, H. Meyer, T.S. Magney, David J. Brown (2015).  Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D+T: The Cook Agronomy Farm data set. Spatial Statistics, 14(A): 70-90.  DOI:10.1016/j.spasta.2015.04.001
  18. R. Parsons, J.U.H. Eitel, B. Whitney, T.S. Magney, K.B. Eitel, L.A. Vierling (2015). Connecting the Dots: Lasers Link Students to Their 3-D World. Science Scope, 039(02). DOI:10.2505/4/ss15_039_02_28
  19. T.S. Magney, S.A. Eusden, J.U.H. Eitel, B.A. Logan, J. Jiang, L.A. Vierling (2014).  Assessing leaf photoprotective mechanisms using terrestrial LiDAR: Towards mapping canopy photosynthetic performance in three dimensions. New Phytologist, 201:344-356. DOI:10.1111/nph.12453
  20. J.U.H Eitel, T.S. Magney, L.A. Vierling, G. Dittmar. (2014). Assessment of crop foliar nitrogen using a novel dual-wavelength laser system and implications for conducting laser-based plant physiology. ISPRS Journal of Photogrammetry and Remote Sensing, 97:229-240. DOI:10.1016/j.isprsjprs.2014.09.009
  21. J.U.H. Eitel, T.S. Magney, L.A. Vierling, T.T. Brown, D.R. Huggins. (2014). LiDAR based biomass and crop nitrogen estimates for rapid, non-destructive assessment of wheat nitrogen status. Field Crops Research, 159:21–32. DOI:10.1016/j.fcr.2014.01.008
  22. T.S. Magney, K.B. Eitel, J.U.H. Eitel, V.S. Jansen, J. Schon, R.A. Rittenburg, L.A. Vierling (2013). Keeping a (Digital) Eye on Nature's Clock. Science Teacher, 80:1, 37-43.
  23. J.U.H. Eitel, L.A. Vierling, T.S. Magney (2013). A lightweight, low cost autonomously operating terrestrial laser scanner for quantifying and monitoring ecosystem structural dynamics. Agricultural and Forest Meteorology, 180:86-96. DOI:10.1016/j.agrformet.2013.05.012

*For complete list refer to google scholar profile

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