Anatoly Gitelson

Anatoly Gitelson

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  • My Story
  • Publications & Presentations
  • Background
  • Expertise & Interests
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  • Courses Taught
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Title Emeritus Remote Sensing Specialist
Address 101 Hardin Hall
3310 Holdrege Street
Lincoln NE
Phone 402-472-3471
FAX 402-472-2946
Vitae Download file

Hello, I'm Anatoly Gitelson, physicist, remote sensing specialist and professor emeritus 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 taught 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 and NASA funded, we developed techniques to monitor phytoplankton density and suspended matter in lakes, reservoirs and coastal waters, and we used remote sensing to classify 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 different parts of the world, and we use it now in the assessment of vegetation "health" including carbon dioxide exchange.

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.

Selected Publications

Gitelson, A.A. G. Dall’Olmo, W. Moses, D.C. Rundquist, T. Barrow, T.R. Fisher, D. Gurlin, and J. Holz. 2008. A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation. Remote Sensing of Environment, 112: 3582–3593, doi:10.1016/j.rse.2008.04.015
Gitelson, A.A., Viña, A., Masek J.G., Verma, S. B., and A. E. Suyker. 2008. Synoptic Monitoring of Gross Primary Productivity of Maize Using Landsat Data, IEEE Geoscience and Remote Sensing Letters, Vol. 5, No. 2, April 2008, 10.1109/LGRS.2008.915598.
Gitelson, A. A. Wide Dynamic Range Vegetation Index for Remote Quantification of Crop Biophysical Characteristics. Journal of Plant Physiology, Vol. 161, 165-173, 2004.
Gitelson, A. A., A. Viña, 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 monitoring of vegetation productivity, J. Geophys. Res., 111, D08S11, doi:10.1029/2005JD006017.
Gitelson, A. A. Wide Dynamic Range Vegetation Index for Remote Quantification of Crop Biophysical Characteristics. Journal of Plant Physiology, Vol. 161, 165-173, 2004.
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., 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.
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.

Educational Background

  • MS - Institute of Radio Technology in Taganrog, Soviet Union, Electronics (1964)
  • PhD - Institute of Radio Technology in Taganrog, Soviet Union, Radio Physics (1972)

SNR Mission Area(s)

  • Applied Climate and Spatial Science

Affiliations (index)

Notable Websites

Other Areas of Interest

Remote Sensing of Environment, Environmental change, Hydrology, Limnology, Water quality, Blue-green remote sensing

Graduate Program(s)

Master of Science in Natural Resource Sciences

Doctor of Philosophy in Natural Resource Sciences