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Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

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Page 1: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Quick Review of Remote Sensing

Basic Theory

Paolo Antonelli

CIMSSUniversity of Wisconsin-Madison

South Africa, April 2006

Page 2: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Outline

IR at High Spectral Resolution

• Basic Principles

• Limits in IR remote sensing

Page 3: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Visible(Reflective Bands)

Infrared(Emissive Bands)

High Spectral Resolution

Page 4: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

High Spectral Resolution

High Spectral Resolution High Vertical Resolution

QuickTime™ and a decompressor

are needed to see this picture.

Page 5: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Radiative Transfer Equation

Page 6: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Transmittance for an off-line Channels

z

1

close to 1a close to 0

z1

z2

z3

+ a + r = 1

The molecular species in the atmosphere are not very active:•most of the photons emitted by the surface make it to the Satellite • if a is close to 0 in the atmosphere then is close to 0, not much contribution from the atmospheric layers

Surface emissionAtmospheric emission

T(z1)

T(z2)

T(z3)

Page 7: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Trasmittance on an Absorption Line

z

1z1

z2

z3

Absorption Channel: close to 0

a close to 1

One or more molecular species in the atmosphere is/are very active:•most of the photons emitted by the surface will not make it to the Satellite (they will be absorbed) • if a is close to 1 in the atmosphere then is close to 1, most of the observed energy comes from one or more of the uppermost atmospheric layers

z4 T(z4)

T(z3)

T(z2)

T(z1)

Page 8: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Weighting Functions

1z1

z2

zN

d/dzz1

z2

zN

Page 9: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

What Causes Absorption?

Molecules in the Atmosphere.

For any layer of the atmosphere, molecular absorption

determines the layer emissivity and trasmittivity

Page 10: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

CO2 Lines

Page 11: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

H2O Lines

Page 12: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Vibrational Lines

CO2 O3 H2O CO2

Page 13: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Rotational Lines

CO2

O3 H2OCO2

Page 14: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

HeIght

Absorption

Wavenumber Energy Contribution

Weighting Functions

Page 15: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Broad Band

window

CO2 O3 H2O

window

Samplig of vibrational bandsIntegration over rotational bands

Page 16: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

… in Brightness Temperature

Page 17: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

High Spectral Resolution

Samplig over rotational bands

Page 18: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

AIRS and MODIS(mt Etna, Sicily, 28 Oct 2002)

QuickTime™ and aMicrosoft Video 1 decompressorare needed to see this picture.

Page 19: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Broad Band vs High Spectral

Page 20: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Questions

For a given water vapor line what happens to its weighting functionWhen the amount of upper tropospheric water vapor increases?

Page 21: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Tau100% 0

For a given water vapor spectral channel

Wet Atm.

Dry Atm.

Dry

Wet

ModerateModerate

Weighting Function

HEIGHT

Page 22: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Questions

How does it look the observed spectrum for high thick water vapor cloud ?

Page 23: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Thick Cloud Opacity

Page 24: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Questions

Moving deeper and deeper into an absorption line the observedBT tends do decrease, why?

Is it always true that the BT decreases going deeper into the absorption band?

Page 25: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Temperature Inversions

AIRS (20 July 2002)calculation Sub-Arctic Winter

May 2001 S. Pole radiosondeprofile used in calculation (0.365 mm H2O)

Page 26: Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006

Conclusions

High Spectral Resolution

High VerticalResolution

Large Volumeof Data

(redundancy)