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University of Nebraska–Lincoln

School of Natural Resources

From Earth to Sky and Everything In Between

Anatoly A. Gitelson

Anatoly A. Gitelson


Hello, I’m Anatoly Gitelson, physicist, remote sensing specialist and professor in the School of Natural Resources.

Most of my research is on the development of models and remote sensing techniques for monitoring terrestrial and aquatic environments. Consequently, I also teach quantitative remote sensing classes that cover both aquatic and terrestrial ecosystems.

Remote sensing models and techniques are extremely useful in monitoring water quality and vegetation status. In fact, in a recent research project that the U.S. Environmental Protection Agency funded, we classified remotely lakes across Nebraska.

Analyses that use remote sensing are equally valuable for land-based projects and often have several important applications. We have used remote sensing techniques in the past in the study of land cover change in Kazakhstan and we use it now in the assessment of carbon dioxide exchange in crops.

Remote sensing tools are dynamic, permitting me to expand the scope of my projects. Hence, I have employed remote sensing techniques and models to track global carbon dioxide exchange and monitor global vegetation dynamics.

I started working at UNL in 2000. I have a Master’s and a Ph.D. from the Institute of Radio Technology in Taganrog in the former Soviet Union.

Personnel Information

Name Anatoly Gitelson
University Title Professor
Address 303 Hardin Hall, Lincoln NE 68583-0973
Affiliation (index) CALMIT
Phone 402-472-8386
Fax 402-472-2946
Email agitelson2@unl.edu
Related Websites http://calmit.unl.edu/people/gitelson/

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Key Publications

  • 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, Novel technique for remote estimation of CO2 flux in maize, Geophys. Res. Lett., 30(9), 1486, doi:10.1029/2002GL016543, 2003.
  • Dall'Olmo, G., A. A. Gitelson, and D. C. Rundquist, Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters, Geophys. Res. Lett., 30(18), 1938, doi:10.1029/2003GL018065, 2003.
  • Gitelson, A.A., Gritz, U. and Merzlyak M.N. 2003. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J Plant Physiol, Vol. 160, No 3, 271-282.

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