Dr. Petya K. E. Campbell Profile

Dr. Petya K. E. Campbell

at NASA Goddard Space Flight Ctr

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 16 September 2011 Paper

Spectral bio-indicator simulations for tracking photosynthetic activities in a corn field

Yen-Ben Cheng, Elizabeth Middleton, K. Fred Huemmrich, Qingyuan Zhang, Lawrence Corp, Petya Campbell, William Kustas

Proceedings Volume 8156, 815607 (2011) https://doi.org/10.1117/12.892333

KEYWORDS: Reflectivity, Vegetation, Optical properties, Solar radiation models, Ecosystems, Carbon, Biological research, Radiative transfer, Data modeling, Soil contamination

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SPIE Journal Paper | 1 November 2010

Spectral indices to monitor nitrogen-driven carbon uptake in field corn

Lawrence Corp, Elizabeth Middleton, Petya Campbell, Karl Huemmrich, Craig Daughtry, Andrew Russ, Yen-Ben Cheng

JARS, Vol. 4, Issue 01, 043555, (November 2010) https://doi.org/10.1117/12.10.1117/1.3518455

KEYWORDS: Carbon, Remote sensing, In situ remote sensing, Neodymium, Environmental sensing, Vegetation, Agriculture, Ecosystems, Reflectance spectroscopy, Sensors

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Proceedings Article | 21 August 2009 Paper

Interferometric sensor for plant fluorescence

E. Georgieva, W. Heaps, E. Middleton, P. K. Campbell, L. Corp

Proceedings Volume 7454, 74540X (2009) https://doi.org/10.1117/12.825340

KEYWORDS: Luminescence, Sensors, Vegetation, Fabry–Perot interferometers, Interferometry, Reflectivity, Signal to noise ratio, Carbon, Absorption, Remote sensing

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We present preliminary design studies and modeling results for a new system for the assessment of vegetation photosynthetic function, especially carbon uptake. Plant health and carbon uptake efficiency are of key consideration in assessing global productivity, biomass, changes in land cover and carbon dioxide flux. Chlorophyll fluorescence (ChlF) measurements are critical for understanding photosynthetic functioning, plant environmental stress responses and direct assessments of plant health. Plant ChlF occurs predominately in two broad emission bands in the red and infrared regions of the spectrum. Unfortunately, the fluorescence signal from vegetation is much weaker than, and obscured by, the reflected signal. This limitation can be overcome by acquiring ChlF measurements in atmospheric absorption lines. The Interferometric Sensor for Plant Fluorescence (ISPF) will measure plant ChlF using the Fraunhofer Line Discrimination approach. Fabry-Perot (FP) etalons will be used to restrict the measurement to radiation in the Solar Fraunhofer lines (SFL). An advantage of the proposed sensor design is that it will collect measurements using two sets of SFL at the same time. This technique increases the optical throughput producing a larger signal to noise ratio (SNR). The instrument is designed to have two channels for two different spectral regions. Each channel will have two sub-channels, one defined by a prefilter (Reference, Ref) and the other having a tunable FP etalon. The first subchannel (the Ref) will cover a relatively broad spectral range to include at least two Fraunhofer lines but for which the fluorescence signal will represent only a small fraction of total reflected light. The second subchannel will use a FP interferometer to restrict the detected light to include only the selected SFL where the ChlF in-filling is significant. A small change in the fluorescence will then produce an insignificant change in the Ref subchannel but a relatively large change in signal from the FP subchannel. Changes in albedo or clouds will affect both subchannels proportionally so that the ratio of FP/Ref will be sensitive only to ChlF and almost insensitive to other parameters. The ISPF sensor will measure the fluorescence energy emitted by vegetation under natural sunlight. Advantages of the sensor over other designs are that it is passive (i.e., does not require an external illumination source), has simple structure and can be manufactured in a rugged, monolithic form that has no moving parts.

Proceedings Article | 21 August 2009 Paper

Remote sensing techniques to monitor nitrogen-driven carbon dynamics in field corn

Lawrence Corp, Elizabeth Middleton, Petya K. Campbell, K. Fred Huemmrich, Yen-Ben Cheng, Craig S. Daughtry

Proceedings Volume 7454, 745403 (2009) https://doi.org/10.1117/12.825508

KEYWORDS: Reflectivity, Vegetation, Remote sensing, Carbon, Luminescence, Ferroelectric LCDs, Oxygen, Carbon dioxide, Spectral resolution, Ecosystems

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Proceedings Article | 18 August 2009 Paper

Hyperspectral-LIDAR system and data product integration for terrestrial applications

Lawrence Corp, Yen-Ben Cheng, Elizabeth Middleton, Geoffrey Parker, K. Fred Huemmrich, Petya K. Campbell

Proceedings Volume 7457, 745705 (2009) https://doi.org/10.1117/12.825515

KEYWORDS: LIDAR, Reflectivity, Imaging systems, Vegetation, Sensors, Ecosystems, Hyperspectral imaging, Data integration, Spectroscopy, Satellites

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Proceedings Article | 8 November 2005 Paper

Deriving chlorophyll fluorescence emissions of vegetation canopies from high resolution field reflectance spectra

Elizabeth Middleton, Lawrence Corp, Craig Daughtry, Petya Entcheva Campbell, L. Maryn Butcher

Proceedings Volume 5996, 599607 (2005) https://doi.org/10.1117/12.631159

KEYWORDS: Luminescence, Reflectivity, Vegetation, Carbon, Ferroelectric LCDs, Satellites, Ecosystems, Spectral resolution, Absorption, Signal detection

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Proceedings Article | 17 March 2003 Paper

Optical and fluorescence properties of corn leaves from different nitrogen regimes

Elizabeth Middleton, James McMurtrey, Petya Entcheva Campbell, Lawrence Corp, L. Butcher, Emmett Chappelle

Proceedings Volume 4879, (2003) https://doi.org/10.1117/12.463087

KEYWORDS: Luminescence, Radium, Reflectivity, Nitrogen, Vegetation, Optical properties, Agriculture, Spectral resolution, Transmittance, Optical filters

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Showing 5 of 7 publications

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