6-1 ee/ge 157b week 6 ee/ae 157 a passive microwave sensing

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EE/Ge 157b Week 6 6-1 EE/Ae 157 a Passive Microwave Sensing

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Page 1: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-1

EE/Ae 157 a

Passive Microwave Sensing

Page 2: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-2

TOPICS TO BE COVERED

• Rayleigh-Jeans Approximation

• Power-Temperature Correspondence

• Microwave Radiometry Models– Bare Surfaces– Vegetation Covered Surfaces

• Radiometer Implementations– Total Power Radiometers– Dicke Radiometers

• Applications– Polar Ice Mapping– Soil Moisture Mapping

Page 3: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-3

Thermal Radiation Laws

• Heat energy is a special case of EM radiation

• The random motion (due to collisions) of the molecules due to kinetic energy results in exitation (electronic, vibrational and rotational) followed by random emissions during decay

• This leads to radiation over a large bandwidth according to Planck’s law for an ideal source (called a black body)

• Thermal emission is usually unpolarized

S 2hc2

5

1

ech kT 1

Page 4: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-4

Rayleigh-Jeans Approximation

• When we can approximate the exponential term in Planck’s law by the first two terms in its Taylor series expansion,

• Substituting this into Planck’s formula, we find

• This approximation shows less than 1% deviation from Planck’s law as long as

kTch

kTchkTche kTch 111

4

2,

ckT

TS

mK77.0T

Page 5: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-5

Rayleigh-Jeans Approximation

Page 6: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-6

Relationship between Surface Brightness and Spectral Radiant Emittance

• The surface spectral radiant emittance is the integral over all angles of a quantity known as the surface brightness

• If the brightness is independent of (a Lambertian surface)

• The surface brightness is therefore given by

2

0

2

0

sincos,cos, ddfBdfBfS

fBfS

222

22f

c

kTkTfSfB

Page 7: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-7

Power-Temperature Correspondence

• The power per unit bandwidth radiated into a solid angle by a surface element with emissivity is

• The antenna receives the energy with different amounts of gain from different angles. If the normalized gain pattern is the received power over a narrow bandwidth would be

ANTENNA

GROUND ELEMENTds

dR

A

dds

dsdkT

dsdfBfP

2

2

,g

df

dfdsdgkT

fPr

,2

122

Page 8: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-8

Power-Temperature Correspondence

• If the antenna has a receiving area , the solid angle subtended by the antenna is

• Therefore, the received power is

• The receiver integrates the energy received by the antenna from all angles. The solid angle subtended by the surface element when viewed from the antenna is

ds

d R

GROUND ELEMENT

ANTENNA

ANTENNA

GROUND ELEMENTds

dR

A

A

2

Ad

R

2 2

2 1,

2r

kT AP f g dsdf

R

2

dsd

R

Page 9: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-9

Power-Temperature Correspondence

• Therefore, we can write the received power as

• To find the total power received by the radiometer, we now have to integrate over the antenna angles and the bandwidth:

• If this becomes

ds

d R

GROUND ELEMENT

ANTENNA

ANTENNA

GROUND ELEMENTds

dR

A dfdg

AkTfPr

,

2

fr dfdgAkTfP

,1

2

ff

dgfAkT

fPr

,2

Page 10: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-10

• The received power is usually written as

• where the equivalent temperature is given by

• The effective temperature observed by the radiometer is therefore the physical temperature of the surface, multiplied by a factor that is a function of the surface emissivity and the antenna pattern.

Power-Temperature Correspondence

fkTP eqr

dgAT

Teq

,2

Page 11: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-11

Microwave Radiometry ModelsBare Surface

• In practice, the radiometer receive power not only from the surface radiation, but also from energy radiated by the sky and reflected by the surface

Page 12: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-12

Microwave Radiometry ModelsBare Surface

• The total power radiated by the surface is therefore

• Following the same derivation as before, we find the equivalent temperature to be

• Therefore, the equivalent microwave temperature is

dsdfBfBfP sg

dgTTA

T sgeq

,2

sgi TTT

Page 13: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-13

Microwave Radiometry ModelsBare Surface

• Since

• we can rewrite the microwave temperature as

• Note that the refection coefficient is a function of polarization, we will measure different microwave temperatures for different polarizations

1

gsgi TTTT

Page 14: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-14

Microwave Radiometry Models Reflection Coefficient

• From Maxwell’s equations, one finds that

Rh2

cos sin2 cos sin2

2

Rv2

2

2

2

cos sin

cos sin 0

0.2

0.4

0.6

0.8

1

0 10 20 30 40 50 60 70 80 90

Incidence Angle

Refl

ect

ion C

oeffi

cient

e=3, Rh e=3, Rv e=80, Rh e=80, Rv

Page 15: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-15

0

50

100

150

200

250

300

350

0 20 40 60 80 100

Off Nadir Angle

Mic

row

av

e T

em

pe

ratu

re,

K

Th,3

Tv,3

Th,20

Tv,20

Microwave Radiometry Models Microwave Temperature

KTKT gs 300;40

Page 16: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-16

Effects of Polarization

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

0 10 20 30 40 50 60 70 80

Dielectric Constant

Em

mis

siv

ity

Ra

tio

v s v

h s h

T T

T T

Page 17: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-17

Applications: Polar Ice Mapping

Page 18: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-18

Ice Concentration Mapping: Arctic

Page 19: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-19

Ice Concentration Mapping: Arctic

Page 20: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-20

Sea Ice Concentration: Arctic

Page 21: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-21

Microwave Radiometry Models Vegetation Cover

1 234

eeTeTeTeTeT ccgsi 11

Page 22: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-22

Applications: Soil Moisture

Page 23: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-23

Applications: Soil Moisture

Page 24: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-24

Radiometer Measurements: Circular Antenna Beam

D

h

D

h

D

D

D

h

cos

h

D

cos

h

D

2cos

h

D

Nadir ViewSide-Looking View

Page 25: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-25

Conical Scan Geometry

Scan Direction

Nadir Line

Flight P

ath

Page 26: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-26 V

1V 2V B

d

Page 27: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-27

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90

Page 28: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-28

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90

Page 29: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-29

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90

Page 30: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-30

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90

Page 31: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-31

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90

Page 32: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-32

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90

Page 33: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-33

-1.00

-0.50

0.00

0.50

1.00

-90 -60 -30 0 30 60 90

Off-Axis Angle

Re

al P

art

of

Vis

ibili

ty

Page 34: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-34

2 2 2 23 2

4 2

5 2

6 2

7 2

Page 35: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-35

0.0

0.2

0.4

0.6

0.8

1.0

-90 -60 -30 0 30 60 90

Angle from Nadir

Rel

ativ

e A

mp

litu

de

60 Deg Right

40 Deg Right

20 Deg Right

Nadir

20 Deg Left

40 Deg Left

60 Deg Left

Page 36: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-36

SMOS Mission

Page 37: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-37

0-5-10 105

10

5

0

-5

-10

Angle from Nadir

An

gle

fro

m N

ad

ir

Page 38: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-38

Radiometer Implementations

• The function of a radiometer is to measure the equivalent temperature of the scene, based on the amount of power delivered by the antenna to the receiver

• The measurement process is characterized by two important attributes

– accuracy– precision

• The accuracy of the measurement depends on how well the radiometer is calibrated

• The precision of the measurement defines the smallest change in temperature that the radiometer can measure reliably, and is driven by radiometer stability

Page 39: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-39

Radiometer ImplementationsCalibration

• To calibrate the transfer function of a radiometer, the output voltage is measured as a function of noise temperature of a source connected to the input terminals of the receiver

Page 40: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-40

Radiometer ImplementationsTotal Power Radiometer

• The output power is

BkTBTTkPPP sysrecareceiverantennaout

Page 41: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-41

Radiometer ImplementationsTotal Power Radiometer

• Since the input power consists of thermal noise, the instantaneous voltage at the output of the IF amplifier has a Gaussian distribution with zero mean.

• The output of the square law detector has an exponential distribution. Such a distribution has a standard deviation that is equal to its mean value.

• Th output of the square law detector will therefore be a signal with a mean value, and a fluctuating part that has a standard deviation equal to the mean

• It is this fluctuating part that limits the precision of the radiometer, and will be interpreted as random fluctuations in the measured system temperature sysT

Page 42: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-42

Radiometer ImplementationsTotal Power Radiometer

• The effect of the low-pass filter is to smooth out the fluctuations in time. If the filter has an equivalent integration time the fluctuations at the output of the filter will have a standard deviation that is reduced by a factor

• Therefore, at the output of the low-pass filter, we have

• From an observational point of view, is the smallest change in temperature that the radiometer can measure reliably:

B

BT

T

sys

sys 1

sysT

BTT

TT recasysIDEAL

Page 43: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-43

Radiometer ImplementationsEffect of System Gain Variations

• Th previous analysis assumes the system to be perfect. Changes in receiver gain will also cause the output power to fluctuate. This will be interpreted as a temperature fluctuation equal to

• Since the noise fluctuations, and the gain fluctuations are uncorrelated, the resulting uncertainty in the system temperature is

• In many cases, the gain variations are the largest error source

s

ssysg G

GTT

2

22 1

s

ssysgnoise G

G

BTTTT

Page 44: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-44

Radiometer ImplementationsDicke Radiometer

• Experimental results show that the bulk of the gain fluctuations are at frequencies lower than 1 Hz

• A Dicke radiometer uses modulation techniques to reduce the effects of system gain variations

• A Dicke radiometer is basically a total power radiometer with two additional features

– A switch connexted to the receiver input (as close to the antenna as possible) that modulates the input signal

– A synchronous demodulator placed between the square law detector and the low-pass filter

• The modulation consists of periodically switching the receiver input between the antenna and a constant (reference) noise source

Page 45: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-45

Radiometer ImplementationsDicke Radiometer Block Diagram

Page 46: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-46

Radiometer ImplementationsDicke Radiometer

• The switching rate is chosen so that over a period of one switching cycle is essentially constant, and therefore identical for the half cycle during which the receiver is connected to the antenna and the half cycle during which the receiver is connected to the reference source

• The output of the square law detector is

• Superimposed on these average values are fluctuations due to noise and gain fluctuations

ssrecrefref

srecaa

tBTTCGkV

tBTTCGkV

2for

20for

Page 47: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-47

Radiometer ImplementationsDicke Radiometer

• The synchronized demodulator is consists of a switch operated synchronously with the input Dicke switch, followed by parallel amplifiers with opposite polarity

• The output of these amplifiers are summed and fed to the low-pass filter

• The output of the low-pass filter is

• Which can be written as

• Note that the output is independent of the receiver noise temperature

BTTkGBTTkGP recrefsrecasout 2

1

2

1

BTTkGP refasout 2

1

Page 48: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-48

Radiometer ImplementationsDicke Radiometer

• The fluctuating part of the radiometer output consists of three parts:

– Gain variations that lead to an uncertainty

– Noise variations, which after integrating over half the cycle lead to an uncertainty of

– Noise on the second half of the integration cycle equal to

ssrefag GGTTT

BTTT recanant 2

BTTT recrefnref 2

Page 49: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-49

Radiometer ImplementationsDicke Radiometer

• Assuming the uncertainties to be statistically independent, the total uncertainty is

• This can be written as

• This is known as the sensitivity of an unbalanced Dicke radiometer

222nrefnantg TTTT

2222 22

refas

srecrefreca TTG

G

B

TTTTT

Page 50: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-50

Radiometer ImplementationsBalanced Dicke Radiometer

• Of particular importance is the case where

• This is a balanced Dicke radiometer

• The sensitivity of the balanced Dicke radiometer becomes

• The factor of 2 comes from the fact that the antenna is observed for only half the time

• Several different approaches are used for balancing Dicke radiometers. The simplest (conceptually) involves using a feedback loop to control the reference temperature

refa TT

IDEAL

reca TB

TTT

2

2

Page 51: 6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing

EE/Ge 157b Week 6 6-51

Radiometer ImplementationsBalanced Dicke Radiometer