Bryan Leavitt

Bryan Leavitt

  • Contact Information
  • Publications
  • Background
  • Interests

Contact Information

TitleResearch Systems Analyst
Address325 South Hardin Hall
3310 Holdrege Street
Lincoln NE

East Campus
  • office: 402-310-1686
  • fax: 402-472-4915
  • cell: 402-310-1686


Contact Preference

E-mail is

Office Hours

M - F 8 am to 5 pm

Selected Publications

Bai G, Ge Y, Leavitt B, Gamon JA, Scoby D. (2023) Goniometer in the air: Enabling BRDF measurement of crop canopies using a cable-suspended plant phenotyping platform. Biosystems Engineering. 230:344-360. Online
Wang, R., Gamon, J., Moore, R., Zygielbaum, A., Arkebauer, T., Perk, R., Leavitt, B., Cogliati, S., Wardlow, B., Qi, Y. (2021). Errors associated with atmospheric correction methods for airborne imaging spectroscopy: Implications for vegetation indices and plant traits. Remote Sensing of Environment, 265.
Bai, G., Ge, Y., Scoby, D., Leavitt, B., Stoerger, V., Kirchgessner, N., Irmak, S., Graef, G., Schnable, J., Awada, T. (2019). NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and aOnline
Moses, W., Gitelson, A., Perk, R., Gurlin, D., Rundquist, D., Leavitt, B., Barrow, T., Brakhage, P. (2012). Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data. Water Research. 46, 993-1004.Online
Rundquist, D., A. Gitelson, M. Lawson, G. Keydan, B. Leavitt, R. Perk, J. Keck, D. Mishra, and S. Narumalani, 2009. Proximal sensing of coral features: spectral characterization of Sidastrea siderea. GIScience and Remote Sensing, 46:2, 139-160.
Gitelson, A.A., B.D. Wardlow, G.P. Keydan, and B. Leavitt, 2007. Green leaf area index estimation in crops using MODIS 250 meter data. Geophysical Research Letters, 34, L20403, doi:10.1029/2007GL031620.Online
Gitelson, A. A., A. Vina, S. B. Verma, D. C. Rundquist, T. J. Arkebauer, G. Keydan, B. Leavitt, V. Ciganda, G. G. Burba, and A. E. Suyker. 2006. Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic Online
Lawson, M., B. Leavitt, D. Rundquist, N. Emanuel, R. Perk, J. Keck, and M. Hauschild, 2006. Compensating for irradiance fluxes when measuring the spectral reflectance of corals in-situ. GIScience and Remote Sensing, 43:2, 181-197.Online
Dall'lmo, G., A. A. Gitelson, D.C. Rundquist, B. Leavitt, T. M. Barrow and J. C. Holz. 2005. Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands. Remote SensinOnline
Dall'Olmo, G., A. Gitelson, D. Rundquist, B. Leavitt, T. Barrow, and J. Holz, 2005. Estimation of chlorophyll concentration in case-2 productive waters using existing ocean color sensors: calibration, validation, and radiometric considerations. Remote Sen
Rundquist, D., R. Perk, B. Leavitt, G. Keydan, and A. Gitelson, 2004. Collecting spectral data over cropland vegetation using machine positioning versus hand-held positioning of the sensor. Computers and Electronics in Agriculture, 43, 173-178.Online
Gitelson, A. A., S. B. Verma, A. Vina, D. C. Rundquist, G. Keydan, B. Leavitt, T. J. Arkebauer, G. G. Burba, and A. E. Suyker. 2003. Novel technique for remote estimation of CO2 flux in maize, Geophys. Res. Lett. 30(9):1486, doi:10.1029/2002GL016543Online
Gitelson, A.A., Viña, A., Arkebauer, T.J., Rundquist, D.C., Keydan, G., Leavitt, B. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters. 30(5):1248.Online
Antunes, M.A.H., J.J. Brejda, X. Chen, B.C. Leavitt, E.A. Txvetsinskaya, A. Weiss and T.J. Arkebauer 1998. Team Research: A class project on scaling up from leaf to canopy synthesis. Journal of Natural Resources Life Science Education. 27:49-54.
Rundquist, D.C., B.C. Leavitt, S.L. Payton. 1997. Using ERS-1 Data to Measure and Map Selected Conditions Related to the Production of Methane in a Wetland Environment: The Nebraska Sandhills, USA.






TitleAwarded byYear Awarded
Staff Recognition Award - SpringSchool of Natural Resources | UNL2024




SNR Program Areas

  • Applied Climate and Spatial Science

Areas of Interest/Expertise

  • Remote sensing
  • Precision agriculture
  • Computer programing
  • Computer and equipment interfacing
  • Data acquisition and processing Hyper-spectral remote sensing under non-optimal conditions
  • Microclimate
  • GPS
  • Physical Geography
  • Evapotranspiration