Don Rundquist

Don Rundquist

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Title Emeritus Remote Sensing Scientist
Address 101 Hardin Hall
3310 Holdrege Street
Lincoln NE
68583-0961
Phone 402-472-3471
FAX 402-472-2946
E-mail drundquist1@unl.edu
Vitae Download file

Hello, I'm Don Rundquist, a professor emeritus with the faculty of geography and GIScience in the School of Natural Resources. I was the director of the Center for Advanced Land Management Information Technologies (CALMIT) from 1986 through summer of 2008, and I now serve as a research scientist with the center.

Don Rundquist

I've been involved in teaching remote sensing at the university level since the early 1970s and continue to teach the following courses: Introduction to Remote Sensing, Practical Applications of Remote Sensing in Agriculture and Natural Resources, and (occasionally) Field Techniques in Remote Sensing.

My research interests are in high resolution (spatial and spectral) remote sensing of surface waters and vegetation, field procedures and technologies, and remote sensing as it relates to agriculture. Through this type of work, our research group hopes to improve the utility of remote sensing in monitoring crops, lakes, ponds, and coastal ecosystems. I am interested in helping to confirm remote sensing as a practical tool for dealing with issues in agriculture and natural resources.

Selected Publications

Bhatti, A., D. Rundquist, J. Schalles, L. Ramirez, S. Nasu, and M. Takagi, 2009. A comparision between above-water surface and subsurface spectral reflectances collected over inland waters. GeoCarto International, 24: 2, 133-141.
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.
Steele, M., A. Gitelson, and D. Rundquist, 2009. Non-destructive estimation of anthocyanin content in grapevine leaves. American Journal of Enology and Viticulture, 60:87-92.
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,doi:10.1029/2009GL038906,2009.
Gitelson, A., G. Dall'Olmo, W. Moses, D. Rundquist, T. Barrow, T. 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.
Steele, M., A. Gitelson, and D. Rundquist, 2008. A comparison of two techniques for non-destructive measurement of chlorophyll content in grapevine leaves. Agronomy Journal, 100:3, 779-782.
Steele, M., A. Gitelson, and D. Rundquist, 2008. Non-destructive estimation of leaf chlorophyll content in grapes. American Journal of Enology and Viticulture, 59:3, 299-305.
Mishra, D. R., S. Narumalani, D. Rundquist, M. Lawson, and R. Perk, 2007. Enhancing the detection and classification of coral reef and associated benthic habitats: A hyperspectral remote sensing approach, Journal of Geophysical Research, 112, C08014, doi:10.1029/2006JC003892.
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.
Peng, Yi, A. Gitelson. G. Keydan, D.Rundquist, and W. Moses, In press. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sensing of Environment.

Educational Background

  • BS - University of Wisconsin-Whitewater, Geography (1967)
  • MA - University of Nebraska-Omaha, Geography (1971)
  • PhD - University of Nebraska-Lincoln, Geography (1977)

SNR Mission Area(s)

  • Applied Climate and Spatial Science

Affiliations (index)

Other Areas of Interest

My research interests lie in the area of remote sensing. More specifically, I am interested in field spectral-measurement techniques and technologies, airborne hyperspectral systems, and satellite remote sensing; especially as those approaches relate to the status and condition of both terrestrial vegetation (crops and rangelands) and aquatic vegetation (inland and coastal wetlands). I maintain particular interest in the use of remote sensors to infer components of the water column; i.e., the quality of surface waters. I have conducted research aimed at both inland and coastal waters, the latter including remote sensing of coral features.

SNR Areas of Expertise

Keyword Expert Level

10 - Top Expert
1 - Mild Interest

Remote Sensing

10

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Graduate Program(s)