TEOS Group Presentation

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TEOS Group Presentation
The Mentor Eric Graham
The Interns Kathlyn Bland Devin
Sevilla Martin Gawecki
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A Closer Look at Bracken Ferns Stomatal Response
Presented by Kathlyn Bland
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• Interesting to study on an ecological and
  economic basis
• Differences in the physiological aspects of
  fronds will be due to acclimation to differences
  in above-ground conditions
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• The plant as a whole has competing goals of
  maximizing its carbon gain and minimizing its
  water loss.
• Exposed fronds (sun-fronds) may be acclimated to
  conserve water as a priority over carbon gain and
  so will have rapid stomatal responses.
• Fronds occurring more in the understory
  (shade-fronds) may be acclimated for carbon gain
  at the expense of more water lost and so may have
  slower stomatal responses as they wait for
  sunflecks (that will contribute substantially to
  their carbon budget).

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Time series for stomatal conductance
low light
high light
low light
high light
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Time series for stomatal conductance
low light
high light
low light
high light
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Time series for stomatal conductance
Stomatal reopening under high light
Stomatal closure with low light
Induction
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Time series for stomatal conductance

• Things to compare between fronds in different
  light conditions
• Rates at which stomata open and close
• Time for full induction after high light starts.
• Time to reach minimum conductance after beginning
  of shade period.
• Time to return to maximum conductance after high
  light is resumed.
• Absolute values of photosynthesis and
  conductance
• Maximum photosynthetic rate in high light.
• Maximum stomatal conductance in high light.
• Total drop in conductance due to shade period.

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Automated Infrared Gas Sampling for Terrestrial
Carbon Dioxide and Water Vapor Concentration
Gradients(that thing we talked about last time)

• Presented By
• Devin Sevilla and Martin Gawecki

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Results of Previous Experiments

• Two experiments run in the last 2 weeks
• White Mountains Deployment
• James Reserve Data
• Issues with IRGA and Solenoids
• Searching for New Materials
• Efficient solenoid valves operating at 120V AC
• Efficient pump

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James Reserve CO2 Data
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James Reserve H2O Data
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The Other TEOS Project

• Spectral Analysis of Charge Coupled Devices in
  Context of Digital Cameras as Biological Sensors
• (that other TEOS project)

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Image Processing Procedure
Spectral Power Distribution Analysis
Color Space Transformations
MATLAB Image Toolbox
Biological Data Analysis
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Spectral Power Analysis Goals

• Using illuminants and a spectroradiometer to
  characterize response of cameras CCD
• Wavelength selector
• Integrating Sphere
• Spectroradiometer

• Comparison of CCD responses under various
  lighting conditions with the Color Checker Chart

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Spectral Power Analysis Target Data

• Data for the Sony camera is available and we
  would like to replicate this for the Cannon
  camera
• This will allow us to translate the perceived
  color and the real color from the cameras CCD

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Spectral Power Analysis Procedure

1. Measure spectral power distribution of standard
   illuminants
2. Measure CCD response to selected standard
   illuminants
3. Map relation of spectral power to selected color
   space values of camera
4. Get spectral spectral power distribution (SPD) of
   flowers
5. Map the SPD of the flower to expected color space
   values of the camera

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Spectral Power Analysis Setup
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Spectral Power Analysis Preliminary Results
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Color Space Transformations

• Different color representations (RGB, CMYK,
  CIEXYZ, HSV, CIELab, RGB)
• Human Color Gamut and the Standard Observer
• What is an optimal color representation?

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MATLAB Image Toolbox

• Supports a wide range of functions
• Spatial image transformations, Morphological
  operations, Neighborhood and block operations,
  Linear filtering and filter design, Transforms,
  Image analysis and enhancement, Image
  registration, Deblurring, Region of interest
  operations
• Porting to other platforms is fairly easy

110 grains of rice!!!
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Biological Data Analysis Applications

• Be able to analyze vast sets of data with minimal
  human interaction
• Characterization of plant wellness through
  image analysis
• Smart Agriculture
• Environmental monitoring
• Extended analysis of what humans cannot see

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Future Work

• Characterize camera CCD
• Test spectral power distributions with different
  illuminants and illumination conditions
• Design algorithm to analyze particular data set
  and determine flower counts
• Field Test at the James Reserve

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Questions?