Donald C. Rundquist spends much of his time researching Remote sensing, Canopy, Chlorophyll, Vegetation and Reflectivity. Donald C. Rundquist has included themes like Imaging spectrometer, Turbidity, Near-infrared spectroscopy and Chlorophyll a in his Remote sensing study. His research in the fields of Red edge overlaps with other disciplines such as Spectral data.
His biological study spans a wide range of topics, including Hydrology and Primary production. His studies in Vegetation integrate themes in fields like Biomass, Leaf area index and Agronomy. His work in Reflectivity tackles topics such as Chlorophyll concentration which are related to areas like Terrestrial plant, Terrestrial vegetation, Mineralogy, Photosynthetic pigment and Band ratio.
His scientific interests lie mostly in Remote sensing, Reflectivity, Chlorophyll, Vegetation and Hydrology. His Remote sensing research is multidisciplinary, relying on both Atmospheric correction and Canopy. His Reflectivity research includes themes of Vineyard, Mineralogy and Chlorophyll concentration.
His work on Chlorophyll content and Photosynthetic pigment as part of general Chlorophyll research is often related to Spectral data, thus linking different fields of science. His research in Vegetation intersects with topics in Leaf area index and Agronomy. His Hydrology study also includes fields such as
His scientific interests lie mostly in Remote sensing, Chlorophyll, Reflectivity, Agronomy and Vegetation. He mostly deals with Hyperspectral imaging in his studies of Remote sensing. Chlorophyll is often connected to Canopy in his work.
His study looks at the relationship between Reflectivity and fields such as Vineyard, as well as how they intersect with chemical problems. His study in Agronomy is interdisciplinary in nature, drawing from both Wind direction and Water content. In his work, Normalized Difference Vegetation Index and Enhanced vegetation index is strongly intertwined with Leaf area index, which is a subfield of Vegetation.
Remote sensing, Chlorophyll, Canopy, Vegetation and Agronomy are his primary areas of study. His work carried out in the field of Remote sensing brings together such families of science as Chlorophyll a, Crop and Imaging spectrometer. His Chlorophyll a study incorporates themes from Atmospheric correction, Hyperspectral imaging and Moderate-resolution imaging spectroradiometer.
Donald C. Rundquist interconnects Hydrology, Primary production and Red edge, Reflectivity in the investigation of issues within Crop. His research in Chlorophyll is mostly concerned with Chlorophyll index. His work on Leaf area index is typically connected to Index as part of general Agronomy study, connecting several disciplines of science.
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Remote estimation of canopy chlorophyll content in crops
Anatoly A. Gitelson;Andrés Viña;Verónica Ciganda;Donald C. Rundquist.
Geophysical Research Letters (2005)
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.
Remote Sensing of Environment (2008)
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.
Geophysical Research Letters (2003)
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.
Journal of Geophysical Research (2006)
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.
Remote Sensing of Environment (2005)
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.
International Journal of Applied Earth Observation and Geoinformation (2013)
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.
Photogrammetric Engineering and Remote Sensing (1996)
Monitoring Maize (Zea mays L.) Phenology with Remote Sensing
Andrés Viña;Anatoly A. Gitelson;Donald C. Rundquist;Galina P. Keydan.
Agronomy Journal (2004)
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.
Geophysical Research Letters (2003)
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.
Remote Sensing of Environment (1997)
Profile was last updated on December 6th, 2021.
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