World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
14100
World Ranking
5413
National Ranking
1979

Overview

Donald C. Rundquist is affiliated with the University of Nebraska-Lincoln in the United States. Their academic profile reflects involvement in research and scholarly activities associated with this institution.

There are no specific details available on the recent papers authored or co-authored by Donald C. Rundquist, nor are there listed frequent co-authors or publication venues that define their research dissemination patterns.

No book publications or awards have been recorded for Donald C. Rundquist in the provided data, and there is no information about main fields or subfields of study associated with their work.

Likewise, no main topics of research or thematic concentrations have been specified, leaving those areas undefined in this profile.

Donald C. Rundquist is currently living, based on the available information.

Best Publications

  • Novel algorithms for remote estimation of vegetation fraction

    Anatoly A. Gitelson;Yoram J. Kaufman;Robert Stark;Don Rundquist

  • Remote estimation of canopy chlorophyll content in crops

    Anatoly A. Gitelson;Andrés Viña;Verónica Ciganda;Donald C. Rundquist

  • Remote estimation of leaf area index and green leaf biomass in maize canopies

    Anatoly A. Gitelson;Anatoly A. Gitelson;Andrés Viña;Timothy J. Arkebauer;Donald C. Rundquist

  • A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation

    Anatoly A. Gitelson;Giorgio Dall'Olmo;Giorgio Dall'Olmo;Wesley Moses;Donald C. Rundquist

  • Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity

    Anatoly A. Gitelson;Andrés Viña;Andrés Viña;Shashi B. Verma;Donald C. Rundquist

  • Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels

    Michael Schlemmer;Anatoly A. Gitelson;James S. Schepers;Richard B. Ferguson

  • Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands

    Giorgio Dall'Olmo;Anatoly A. Gitelson;Donald C. Rundquist;Bryan Leavitt

  • Vegetation and soil lines in visible spectral space: a concept and technique for remote estimation of vegetation fraction

    A. A. Gitelson;R. Stark;U. Grits;D. Rundquist

  • Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity

    Anthony Nguy-Robertson;Anatoly Gitelson;Yi Peng;Andrés Viña

  • Towards a unified approach for remote estimation of chlorophyll‐a in both terrestrial vegetation and turbid productive waters

    Giorgio Dall'Olmo;Anatoly A. Gitelson;Donald C. Rundquist

  • Monitoring Maize (Zea mays L.) Phenology with Remote Sensing

    Andrés Viña;Anatoly A. Gitelson;Donald C. Rundquist;Galina P. Keydan

  • Modelling relationships between NDVI and precipitation during vegetative growth cycles

    Liping Di;D. C. Rundquist;Luoheng Han

  • Remote measurement of algal chlorophyll in surface waters: The case for the first derivative of reflectance near 690 nm

    Donald C. Rundquist;Luoheng Han;John F. Schalles;Jeffrey S. Peake

  • Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir

    Luoheng Han;Donald C. Rundquist

  • Analysis of suspended solids in water using remotely sensed high resolution derivative spectra

    D. G. Goodin;Luoheng Han;R. N. Fraser;D. C. Rundquist

  • Benthic Habitat Mapping in Tropical Marine Environments Using QuickBird Multispectral Data

    Deepak Mishra;Sunil Narumalani;Donald Rundquist;Merlin Lawson

  • Remote estimation of crop gross primary production with Landsat data

    Anatoly A. Gitelson;Yi Peng;Jeffery G. Masek;Donald C. Rundquist

  • Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content

    Yi Peng;Anatoly A. Gitelson;Galina Keydan;Donald C. Rundquist

  • Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm

    Anthony L. Nguy-Robertson;Yi Peng;Yi Peng;Anatoly A. Gitelson;Timothy J. Arkebauer

  • The spectral responses of algal chlorophyll in water with varying levels of suspended sediment

    L. Han;D. C. Rundquist;L. L. Liu;R. N. Fraser

  • Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data

    Wesley J. Moses;Anatoly A. Gitelson;Richard L. Perk;Daniela Gurlin

  • Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters

    G. dall Olmo;A. A. Gitelson;D. C. Rundquist

Frequent Co-Authors

Anatoly A. Gitelson
Anatoly A. Gitelson University of Nebraska–Lincoln
Timothy J. Arkebauer
Timothy J. Arkebauer University of Nebraska–Lincoln
Andrés Viña
Andrés Viña Michigan State University
Shashi B. Verma
Shashi B. Verma University of Nebraska–Lincoln
Andrew E. Suyker
Andrew E. Suyker University of Nebraska–Lincoln
Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
George Burba
George Burba University of Nebraska–Lincoln
Giorgio Dall'Olmo
Giorgio Dall'Olmo Plymouth Marine Laboratory
Richard B. Ferguson
Richard B. Ferguson University of Nebraska–Lincoln
James S. Schepers
James S. Schepers University of Nebraska–Lincoln

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