Wang, R., Gamon, J., Hmimina, G., Cogliati, S., Zygielbaum, A., Arkebauer, T., Suyker, A. (2022). Harmonizing solar induced fluorescence across spatial scales, instruments, and extraction methods using proximal and airborne remote sensing: A multi-scale study in a soybean field. REMOTE SENSING OF ENVIRONMENT, 281. | |
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.
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Wang, R., Gamon, J., Schweiger, A. K., Cavender-Bares, j., Kothari, S., Townsend, P., Zygielbaum, A. (2018). Influence of species richness, evenness and composition on optical diversity: a simulation study. Remote Sensing of Environment(211), 218-228. | |
Gholizadeh, H., Gamon, J., Zygielbaum, A., Wang, R., Schweiger, A. K., Cavender-Bares, J. (2018). Remote sensing of biodiversity: Soil correction and data dimension reduction methods improve assessment of α-diversity (species richness) in prairie ecosyste | Online |
Wang, R., Gamon, J., Cavender-Bares, J., Townsend, P. A., Zygielbaum, A. (2017). The spatial sensitivity of the spectral diversity-biodiversity relationship: an experimental test in a prairie grassland. Ecological Applications. | Online |
Nguy-Robertson, A., Zygielbaum, A., McMechan, A., Hein, G. L., Wegulo, S., Stilwell, A., Smith, T. M. 2016. Developing the framework for a risk map for mite vectored viruses in wheat resulting from pre-harvest hail damage. Crop Protection, 89:21-31. | Online |
Wang, R., Gamon, J., Montgomery, R. A., Townsend, P. A., Zygielbaum, A., Bitan, K., Tilman, D., Cavender-Bares, J. 2016. Seasonal variation in the NDVI-species richness relationship in a prairie grassland experiment (Cedar Creek). Remote Sensing, 8(128):1 | Online |
Stilwell, A. R., Hein, G. L., Zygielbaum, A., Rundquist, D. (2013). Proximal sensing to detect symptoms associated with wheat curl mite-vectored viruses. International Journal of Remote Sensing, 34, 4951-4966 | |
Zygielbaum, A.I., T.J. Arkebauer, E.A. Walter-Shea, and D. L. Scoby. 2012. Detection and measurement of vegetation photoprotection stress response using PAR reflectance. Israel Journal of Plant Sciences 60: 37-48. | |
Zygielbaum, A., A. Gitelson, T. Arkebauer, and D. Rundquist, 2009. Non-destructive detection of water stress and estimation of relative water content in maize. Geophysical Research Letters, 36,LI2403, | Online |
Zygielbaum, A.I., A.A. Gitelson, T.J. Arkebauer, and D.C. Rundquist, 2009, Crop water stress detection using visible spectrum reflectance, Poster presentation, AGU Fall Meeting. | |
Melvin, M.J., A.I. Zygielbaum, D. Gutzmer, S. Rentschler, J. Bower, and K.G. Hubbard, 2008. Network requirements for sensor accuracy and precision: a case study to assess atmospheric variability in simple terrain, International Journal of Climatology, 28( | Online |
Gholizadeh, H., Gamon, J., Zygielbaum, A., Hmimina, G. Y., Yu, R., Moore, R. M., Helzer, C. J., Townsend, P. A., Schweiger, A. K., Cavender-Bares, J. (in press). Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment. 2 | Online |