Art Zygielbaum

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  • Publications & Presentations
  • Background
  • Expertise & Interests
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Title Remote Sensing Specialist
Address 302 Hardin Hall
3310 Holdrege Street
Lincoln NE
Phone 402-472-3424
FAX 402-472-2946
Vitae Download file


Selected Publications

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.   On-Line
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(2): 267-272.   On-Line


Selected Presentations

Detection and Measurement of Water Stress in Vegetation Using Visible Spectrum Reflectance
  • Presentation Type: Dissertation Defense
  • Date: 12/2/2009
  • Abstract:

    At any scale, from a single microbe to the planet that nurtures us, water defines our place in the universe. It provides the hydraulic forces needed to give plants structure, and the medium enabling photosynthesis, the basis for most life on earth, to occur. Knowledge about the water status of plants is vital to understanding the state or condition of vegetation, which is important to scientists in disciplines as diverse as agriculture, geography, and climatology. Non-destructive and remote sensing of plant water status allows the gathering of such information across wide geographic extents and over long periods of time. During this seminar, the results of extensive greenhouse research on corn and soy plants undergoing water deficit will be presented. The effort resulted in the identification of a previously unknown systematic increase in visible light reflectance as plants become increasingly water stressed. The effect is more pronounced in corn than in soy. Because water molecules do not absorb light in the visible spectral range, this finding offers new insights into the physical and chemical processes which protect plants from damage due to water stress. The finding also suggests a potential for using only visible light to detect and measure plant water status non-destructively, and perhaps even by means of sensors on remote platforms.

Educational Background

  • BS - University of California at Los Angeles, Physics (1968)
  • MS - University of Southern California, Electrical Engineering (1975)
  • PhD - University Nebraska-Lincoln, Geography (2009)

SNR Faculty Area(s)

Professional Organizations

  • American Geophysical Union
  • Association of American Geographers
  • Association of Computing Machinary
  • Computer Society
  • Department of Commerce, Patent and Trademark Office Information Systems Independent Review Team
    • Member 1993
  • Institute of Electrical and Electronic Engineers
    • Senior Member 
  • National Research Council National Weather Service Modernization Committee
    • Member 1989-1999
  • Naval Sea Systems Comm and Independent Review Team on Safety and Engineering Processes
    • Member 2003-2004


  • Geographic Information System (GIS) - Geovisualization
  • Geographic Information System (GIS) - Remote Sensing
  • Geographic Information System (GIS) - Vegetation Indexing
  • Humans and the Environment - Geovisualization
  • Remote Sensing - GIS
  • Remote Sensing - Leaf Optical Properties
  • Remote Sensing - Vegetation Indexing
  • Vegetation - Vegetation Indexing

Areas of Interest (Keyword)

  • Climate - Remote Sensing
  • Education - GIS
  • Geographic Information System (GIS) - Education
  • Geographic Information System (GIS) - GPS
  • Geographic Information System (GIS) - Land Use/Land Cover
  • Geographic Information System (GIS) - Water Resources
  • Geography - Remote Sensing
  • GPS
  • Land Use/Land Cover - GIS
  • Land Use/Land Cover - Remote Sensing
  • Land Use/Land Cover - Remote Sensing, Climate
  • Land Use/Land Cover - Remote Sensing, Geography
  • Physical Geography - Water Resources
  • Remote Sensing - Climate
  • Remote Sensing - Geography
  • Remote Sensing - GPS
  • Remote Sensing - Land Cover
  • Remote Sensing - Water Resources
  • Water - Geographic Information System (GIS)
  • Water - Resources

Other Areas of Interest

Non-destructive and remote detection and measurement of water stress in vegetation; Computer-based analysis and visualization tools; Remote sensing instrument system

Currently this page only displays grants that were awarded on 1/1/2009 to the present. If a grant was awarded prior to 1/1/2009 and is still active, it will not be displayed on this page.

Grant Title Remote Sensing Biodiversity
Starting Date 5/1/2014
Principal Investigators
Art Zygielbaum
Ending Date 4/30/2019
Funding Level $150,817.00
Funding Source National Science Foundation

Grant Title Ecological Spectral Information System
Starting Date 6/1/2013
Principal Investigators
Art Zygielbaum
Brian Wardlow
Ending Date 5/31/2013
Funding Level $75,665.00
Funding Source University of Wisconsin


Graduate Program(s) Master of Science with a Specialization in
  • Remote Sensing

Courses Taught in the Current Semester
Course Number Course Title Day Time Cross Listing
GEOG 312 Introduction to Geospatial Information Sciences TR 0300-0350 P NRES/GEOG 312
GEOG 427 Introduction to the Global Positioning System (GPS) TR 1230-0145 P GEOG/NRES 427/827
GEOG 827 Introduction to the Global Positioning System (GPS) TR 1230-0145 P GEOG/NRES 427/827
NRES 427 Introduction to the Global Positioning System (GPS) TR 1230-0145 P GEOG/NRES 427/827
NRES 827 Introduction to the Global Positioning System (GPS) TR 1230-0145 P GEOG/NRES 427/827
Courses Taught
Course Number Course Title Fall Even Years Fall Odd Years Spring Even Years Spring Odd Years Summer Session Cross Listing
GEOG 312 Introduction to Geospatial Information Sciences X X X X NRES/GEOG 312
NRES 312 Introduction to Geospatial Information Sciences X X X X GEOG 312