Hyperspectral Remote Sensing of Cotton Crops: Detecting Cotton Stress and Canopy Water Content - PowerPoint PPT Presentation

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Hyperspectral Remote Sensing of Cotton Crops: Detecting Cotton Stress and Canopy Water Content

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Comparison of multispectral and hyperspectral sensors ... Note how the variation between fields increases following cut-out. What is next? ... – PowerPoint PPT presentation

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Title: Hyperspectral Remote Sensing of Cotton Crops: Detecting Cotton Stress and Canopy Water Content


1
Hyperspectral Remote Sensing of Cotton
CropsDetecting Cotton Stress and Canopy Water
Content
  • Susan Ustin and Jonathan Greenberg
  • CSTARS, U.C. Davis

2
Comparison of multispectral and hyperspectral
sensors
3
Does hyperspectral data give a grower more
information than multispectral?
True Color Image of Cotton Fields
4
Can continuum removal values serve as a proxy for
pressure bomb measurments?
5
Can continuum removal data assist in timing
defoliant application?
6
What is next?
  • Ground truth 2000 AVIRIS images with pressure
    bomb readings.
  • Determine the effectiveness of continuum removal
    analysis in predicting pressure bomb readings and
    true leaf water content across the entire growing
    season with field spectrophotometers.
  • Determine the relationship between red edge
    position and chlorophyll content.
  • Increase the temporal coverage of the Sheely
    fields through the use of a UAV (currently under
    development).
  • Test the effectiveness of hyperspectral remote
    sensing in detecting insect-specific stress.

7
What do we need?
  • A highly georectified image (lt 2 m.) of the
    Sheely fields for use in ground truthing aerial
    imagery.
  • High resolution satellite imagery like IKONOS (at
    right) will probably be the best route for a
    georectified base image.
  • Field researchers taking GPS readings of their
    point samples, beginning this coming growing
    season.
  • Standardized form of data sharing.

8
What do you need?
  • We have compiled a relatively complete database
    from the 1999 and 2000 growing seasons field
    research, organized by field and subfield.
  • CSTARS members could potentially train field
    researchers in the use and application of GPS.
  • We can provide ground spectrophotometer and
    aerial hyperspectral AVIRIS data.
  • We have developed software for determining red
    edge and continuum removal values for
    hyperspectral data.
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