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Remote Sensing Applications

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Title: Remote Sensing Applications


1
Remote Sensing Applications
  • THE OCEANS
  • Sea Floor Mapping

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Remote Sensing Applications
  • Sea Floor Mapping
  • Total reflection surface reflectance Water
    Column Emittance

4
Remote Sensing Applications
  • Sea Floor Mapping
  • Rt Rs We
  • Remove surface reflectance gt Water Column
    Emittance
  • Normally approximated by subtraction of IR band
  • Since Weir 0 and Rs is independent of
    wavelength,
  • Band1 - IR band Water Column Emittance

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  • Water Column Emittance approximated by
    subtraction of IR Band

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Remote Sensing Applications
  • Sea Floor Mapping
  • Water Column Emittance Bottom Reflection
    Water Column Reflection
  • Water Column Reflectance Water quality X depth

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Results Snug Beach
10
Results Margate Marina
11
Imagery and classifications
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E Rw Rb/D. kAw
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E1 Rw1 Rb1/D. kAw1 E2 Rw2 Rb2/D. kAw2 E3
Rw3 Rb3/D. kAw3 and so on..
14
Remote Sensing Applications
  • Sea Floor Mapping
  • Water Column Reflectance Water quality X depth
  • To unmix bottom variations from depth
  • Need to find water attenuation Coefficent
  • Need know either depth or bottom reflectance

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Remote Sensing Applications
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E1/ E2 Rb1 . kAw2 / Rb2. kAw1 E1/ E2 k(Rb1 /
Rb2)
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Conclusion
  • Problems
  • Coefficient of absorption is never known with
    precision
  • Water quality can (and will) vary across the
    image
  • Difficult to quantify bottom reflectance
  • Unmixing still remains a problem
  • The variables are not independent but
  • Interact in complex ways.
  • Applications
  • Environmental survey
  • Updating very mobile areas
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