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Thermal Infrared Remote Sensing

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Thermal Infrared Remote Sensing. Lecture 8. Thermal infrared of EM spectrum. All objects have a temperature above absolute zero (0 K) emit EM energy (in 3.0-100 µm). Human being has normal 98.6 ºF (37 ºC) - PowerPoint PPT Presentation
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Thermal Infrared Remote Sensing Lecture 8
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Page 1: Thermal Infrared Remote Sensing

Thermal Infrared Remote Sensing

Lecture 8

Page 2: Thermal Infrared Remote Sensing

Thermal infrared of EM spectrum

0.7 m

3.0 m

100 m

All objects have a temperature above absolute zero (0 K) emit EM energy (in 3.0-100 µm). Human being has normal

98.6 ºF (37 ºC) Our eyes are only sensitive to

visible energy (0.4-0.7 µm). Human sense thermal energy through touch. while detectors (sensors) are sensitive to all EM spectrum.

All objects (vegetation, soil, rock, water, concrete, etc) selectively absorb solar short-wavelength energy and radiate thermal infrared energy.

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Thermal infrared remote sensing measures:

Land and ocean surface temperature, Atmospheric

Temperature and humility Trace gas concentrations

Radiation balance Emissivity

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Kinetic heat, radiant flux and temperature,

The energy of particles of matter in random motion is called kinetic heat (also referred to as internal, real, or true heat).

We can measure the true kinetic temperature (Tkin) or concentration of this heat using a thermometer. - We perform this in situ (in place) temperature measurement when we are ill. - We can also measure the true kinetic internal temperature of soil or water by physically touching them with a thermometer.

When these particles (have kinetic heat) collide they change their energy state and emit electromagnetic radiation called radiant flux (watts). The concentration of the amount of radiant flux exiting (emitted from) an object is its radiant temperature (Trad).

There is usually a high positive correlation between the true kinetic temperature of an object (Tkin) and the amount of radiant flux radiated from the object (Trad). Therefore, we can utilize radiometers placed some distance from the object to measure its radiant temperature which hopefully correlates well with the object’s true kinetic temperature. This is the basis of thermal infrared remote sensing.

Unfortunately, the relationship is not perfect, with the remote measurement of the radiant temperature always being slightly less than the true kinetic temperature of the object. This is due to a thermal property called emissivity.

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Planck equationBlack body radiation (W m-2m-1) using Planck equation:We call T the physical (kinetic) temperature

)1(

2),(

)/(5

2

kThce

hcTB

λ

K=(°F-32)/1.8+273.15http://tes.asu.edu/MARS_SURVEYOR/MGSTES/TES_emissivity.html

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Not a perfect emitter

http://tes.asu.edu/MARS_SURVEYOR/MGSTES/TES_emissivity.html

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Emmisivity

Emissivity spectrum is the ratio of radiance spectrum of a non-perfect emitter over that of a perfect emitter (blackbody) at the same temperature

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Emmisivity used to identify mineral composition

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Brightness temperature, and physical (surface) temperature

Through radiance recorded by a remote sensor, if we use the Planck equation, we can get a temperature, which we call brightness temperature Tb, which is less than the real physical (or surface) temperature T.

)1(

2),(

)1(

2),(

)/(5

2

)/(5

2

kThckThcb e

hcTB

e

hcTL

b

)1ln( )/( bTkhcek

hcT

h, Planck’s constant =6.626 x 10-34 Ws2

T, Kelvin (K)c, 3 x 108 m/sk, Boltzmann’s constant=1.38 x 10-23 Ws/K

L or B, radiance (Wm-2μm-1)c1=2πhc2=3.74 x 10-16 Wm2

c2=hc/k=0.0144 mK

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Thermal Radiation Raw

Blackbody (perfect absorber and emitter) Stenfan-Boltzmann Law (MB = T4 in Wm-2) Wien’s Displacement Law (max = 2898/T) Emissivity ( = MR / MB) at the same temperature MB = Tkin

4

MR = Trad4

= MR / MB= Trad4 / Tkin

4

The The dominant wavelength (dominant wavelength (max ) ) provides valuable information about which part of the provides valuable information about which part of the thermal spectrum we might want to sense in. For example, if we are looking for thermal spectrum we might want to sense in. For example, if we are looking for 800 ˚K 800 ˚K forest firesforest fires that have a dominant wavelength of approximatelythat have a dominant wavelength of approximately 3.62 3.62 µµmm then the most then the most appropriate remote sensing system might be a appropriate remote sensing system might be a 3-5 3-5 µµmm thermal infrared detector. thermal infrared detector.

- MODIS band 20-25 are in - MODIS band 20-25 are in 3-5 3-5 µµmm..

If we are interested inIf we are interested in soil, water, and rock with ambient temperatures on the earth’s soil, water, and rock with ambient temperatures on the earth’s surface of 300 ˚Ksurface of 300 ˚K and a dominant wavelength of and a dominant wavelength of 9.66 9.66 µµm,m, then a thermal infrared detector then a thermal infrared detector operating in the operating in the 8 - 14 8 - 14 µµmm region might be most appropriate. region might be most appropriate.

- Landsat image thermal band (6) is in - Landsat image thermal band (6) is in 10.4-12.510.4-12.5 µµmm - ASTER band 12 and 13 are in- ASTER band 12 and 13 are in 8 - 14 8 - 14 µµmm - MODIS band 29-30 and 31-32 are in- MODIS band 29-30 and 31-32 are in 8 - 14 8 - 14 µµmm

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•• The The diurnal cyclediurnal cycle encompasses 24 hours. Beginning at sunrise, the earth begins encompasses 24 hours. Beginning at sunrise, the earth begins intercepting mainly short wavelength energy (0.4 - 0.7 intercepting mainly short wavelength energy (0.4 - 0.7 m) from the Sun. From about m) from the Sun. From about 6:00 am to 8:00 pm, the terrain intercepts the 6:00 am to 8:00 pm, the terrain intercepts the incoming short wavelength energyincoming short wavelength energy and and reflects much of it back into the atmosphere where we can use optical remote sensors reflects much of it back into the atmosphere where we can use optical remote sensors to measure the reflected energy. to measure the reflected energy. • However, some of the incident short wavelength energy is absorbed by the terrain However, some of the incident short wavelength energy is absorbed by the terrain and then re-radiated back into the atmosphere as thermal infrared long wavelength and then re-radiated back into the atmosphere as thermal infrared long wavelength radiation (3 - 100 radiation (3 - 100 m). The m). The outgoing longwave radiationoutgoing longwave radiation reaches its highest value reaches its highest value during the day when the surface temperature is highest. This peak usually lags two to during the day when the surface temperature is highest. This peak usually lags two to four hours after the midday peak of incoming shortwave radiation, owing to the time four hours after the midday peak of incoming shortwave radiation, owing to the time taken to heat the soil. taken to heat the soil. • The contribution of reflected short wavelength energy and emitted long wavelength The contribution of reflected short wavelength energy and emitted long wavelength energy causes an energy surplus to take place during the day. Both incoming and energy causes an energy surplus to take place during the day. Both incoming and outgoing shortwave radiation become zero after sunset (except for light from the outgoing shortwave radiation become zero after sunset (except for light from the moon and stars), but outgoing longwave radiation continues all night. moon and stars), but outgoing longwave radiation continues all night.

•• The The diurnal cyclediurnal cycle encompasses 24 hours. Beginning at sunrise, the earth begins encompasses 24 hours. Beginning at sunrise, the earth begins intercepting mainly short wavelength energy (0.4 - 0.7 intercepting mainly short wavelength energy (0.4 - 0.7 m) from the Sun. From about m) from the Sun. From about 6:00 am to 8:00 pm, the terrain intercepts the 6:00 am to 8:00 pm, the terrain intercepts the incoming short wavelength energyincoming short wavelength energy and and reflects much of it back into the atmosphere where we can use optical remote sensors reflects much of it back into the atmosphere where we can use optical remote sensors to measure the reflected energy. to measure the reflected energy. • However, some of the incident short wavelength energy is absorbed by the terrain However, some of the incident short wavelength energy is absorbed by the terrain and then re-radiated back into the atmosphere as thermal infrared long wavelength and then re-radiated back into the atmosphere as thermal infrared long wavelength radiation (3 - 100 radiation (3 - 100 m). The m). The outgoing longwave radiationoutgoing longwave radiation reaches its highest value reaches its highest value during the day when the surface temperature is highest. This peak usually lags two to during the day when the surface temperature is highest. This peak usually lags two to four hours after the midday peak of incoming shortwave radiation, owing to the time four hours after the midday peak of incoming shortwave radiation, owing to the time taken to heat the soil. taken to heat the soil. • The contribution of reflected short wavelength energy and emitted long wavelength The contribution of reflected short wavelength energy and emitted long wavelength energy causes an energy surplus to take place during the day. Both incoming and energy causes an energy surplus to take place during the day. Both incoming and outgoing shortwave radiation become zero after sunset (except for light from the outgoing shortwave radiation become zero after sunset (except for light from the moon and stars), but outgoing longwave radiation continues all night. moon and stars), but outgoing longwave radiation continues all night.

Diurnal Temperature Cycle of Typical MaterialsDiurnal Temperature Cycle of Typical MaterialsDiurnal Temperature Cycle of Typical MaterialsDiurnal Temperature Cycle of Typical Materials

Page 12: Thermal Infrared Remote Sensing

Peak Period of Daily Peak Period of Daily Outgoing Longwave Outgoing Longwave

Radiation and the Diurnal Radiation and the Diurnal Radiant Temperature of Radiant Temperature of

Soils and Rocks, Soils and Rocks, Vegetation, Water, Moist Vegetation, Water, Moist Soil and Metal ObjectsSoil and Metal Objects

Peak Period of Daily Peak Period of Daily Outgoing Longwave Outgoing Longwave

Radiation and the Diurnal Radiation and the Diurnal Radiant Temperature of Radiant Temperature of

Soils and Rocks, Soils and Rocks, Vegetation, Water, Moist Vegetation, Water, Moist Soil and Metal ObjectsSoil and Metal Objects

Temperature

At the thermal crossover times, most of the materials have the almost same radiant temperature, it is not wise todo thermal remote sensing.

Water and vegetation have higher thermalcapacity. In different time of thermal images, there are different performances even the materials.

Page 13: Thermal Infrared Remote Sensing

Kirchoff’s radiation law

i = r + +

1 = r + + Kirchoff found in the infrared portion of the

spectrum = : “good absorbers are good emitters”

Most materials does not lose any incident energy to transmittance, i.e. = 0, so we can get

1 = r + = r + (or A + ε) This means reflectivity and emissivity has a inverse

relationship: “good reflectors are poor emitters”

Page 14: Thermal Infrared Remote Sensing

NASA’s Earth Observing System missions with Thermal IR capability

Landsat systems (MSS, TM, ETM+) ETM+ has a 60 m band at 10.5-12.5 µm)

TRMM CERES

EOS Terra (Dec. 1999) CERES, MODIS, ASTER, MOPITT

EOS Aqua (May 2002) AIRS, CERES, MODIS

EOS Aura (July 2004) HIRDLS, TES

Page 15: Thermal Infrared Remote Sensing

Source: Jeff Dozier

Page 16: Thermal Infrared Remote Sensing

Source: Jeff Dozier

Page 17: Thermal Infrared Remote Sensing

Source: Jeff Dozier

Page 18: Thermal Infrared Remote Sensing

Source: Jeff Dozier

Page 19: Thermal Infrared Remote Sensing

Source: Jeff Dozier

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Source: Jeff Dozier

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Source: Jeff Dozier

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MODIS land surface temperature and emissivity product led by Dr. Wan

http://www.icess.ucsb.edu/modis/modis-lst.html

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Calibration and validation of

MODIS T and E in Sevilleta, NM

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306

308

310

312

314

316

318

320

322

324

0 20 40 60 80 100 120 140

Distance (pixel)

T (

K)

X profile Y Profile NW-SE Profile NE-SW Profile

Xie and Ytuarte, 2005

Urban Heat Island of San Antonio downtown area detected by MODIS temperature product2:30 pm (CDT), July 14, 2004

Page 27: Thermal Infrared Remote Sensing

288289290291292293294295296297

0 20 40 60 80 100 120 140

Distance (pixel)

T (

K)

X Profile Y Profile NW-SE NE-SW

Xie and Ytuarte, 2005

Urban Heat Island of San Antonio downtown area detected by MODIS temperature product2:00 am (CDT), July 15, 2004

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Source: Jeff Dozier

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Active fire detection:MODIS fire and thermal anomalies products

Image caption: Fires in the Bahamas, Florida and Cuba (03 April 2004, 18:30 UTC) identified using MODIS Aqua and outlined in red on the MODIS 1km corrected reflectance product

http://modis-fire.gsfc.nasa.gov/index.asp

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Page 34: Thermal Infrared Remote Sensing

Source: Jeff Dozier

Page 35: Thermal Infrared Remote Sensing

Mars global surveyor Launched 11/1996. landed 12/1997, 3/1999 began have maps TES (6-50 μm)

Mars Odyssey Launched 4/7/2001, landed 10/24/2001 THEMIS (5 visible at 18m, 10 thermal (6.78-10.88 μm) at

100m) Mars Spirit Rover

Launched 6/10/2003, landed 1/3/2004 Mini-TES

Mars opportunity Rover Launched 7/7/2003, landed 1/24/2004 Mini-TES

NASA Mars missions with Thermal IR capability

Page 36: Thermal Infrared Remote Sensing

What is TES? Thermal Emission Spectroscopy

Michelson Interferometer, is the thermal IR portion of TES, covers the 6-50 µm (1655-200 cm-1) wavelength range, with spectral sampling 5 and10 cm-1 (spectral resolution ~10 - 20 cm-1), 286 or 142 bands

Bolometric thermal radiance channel (5.5 to ~100 µm)

Solar reflectance channel (0.3 to 2.7 µm ), to measure the brightness of reflected solar energy

Page 37: Thermal Infrared Remote Sensing

MGS - TES

Entered Mars orbit on board the MGS on Sep.11,1997

Page 38: Thermal Infrared Remote Sensing

How does TES determine surface composition?

Mixed Spectra

Rocks are a mixture of minerals

Emissivity spectrum from individual components of a mixture add together in a simple linear fashion.

The linearity of the mixed spectrum allows it to be deconvolved.

Page 39: Thermal Infrared Remote Sensing

Two distinct surface types found on Mars

Type 1 - Similar to Basalt Type 2 – Andesite? ( < 52 wt% SiO2) ( 52-63 wt% SiO2) Mostly in southern highlands Mostly in northern lowlands (note the larger percentage of high silica glass is the main diff.)

Bandfield et al. (2000), Hamilton et al. (2001)

Page 40: Thermal Infrared Remote Sensing

MGS TES Basalt Map

Basalt (Type 1 spectra) concentrated in Southern HighlandsBandfield et al. (2000), Hamilton et al. (2001)

Page 41: Thermal Infrared Remote Sensing

MGS TES Andesite Map

Andesite (type 2 spectra) appears concentrated in Northern Lowlands, but also intermixed with basalt in Southern Highlands.Bandfield et al. (2000), Hamilton et al. (2001)

Page 42: Thermal Infrared Remote Sensing

Mars Hematite detected by TES

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Rocks at the Mars Opportunity Rover landing site (on 1/24/2004, launched 7/7/2003)

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NOAA and other missions with Thermal IR capability

GOES (NOAA) 3.78-4.03 (4 km), 6.47-7.02 (8 km), 10.2-11.2 (4 km), and

11.5-12.5 (4 km) AVHRR (NOAA)

3.55-3.93, 10.30-11.30, 11.5-12.5. all in 1.1 km NPOESS (joint NOAA/NASA/DoD)

Middle-wave thermal 8 bands, long-wave thermal 4 bands http://www.ipo.noaa.gov/Technology/viirs_summary.html 400-800 m

Page 45: Thermal Infrared Remote Sensing

One application: detection of loss of heat from buildings due

to faulty insulation

Page 46: Thermal Infrared Remote Sensing

24.0°F

43.0°F

25

30

35

40

Furnace Vent

Vent Duct

Typical IR imagery of Heat Loss in Residential Structures

Page 47: Thermal Infrared Remote Sensing

Energy Gain (Floor Leak)

Missing Insulation in Vaulted Ceiling Area

Moisture

Heat Loss Heat Loss

Page 48: Thermal Infrared Remote Sensing

37.3°F

46.6°F

38

40

42

44

46

Typical Institutional Building Heat Loss

37.3°F

46.6°F

38

40

42

44

46

37.7°F

50.9°F

38

40

42

44

46

48

50

28.5°F

54.5°F

30

35

40

45

50Typical Air Leak Patterns

37.7°F

50.9°F

38

40

42

44

46

48

50

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38.4°F

59.2°F

40

45

50

55

42.0°F

61.9°F

45

50

55

60

Apartment balcony door during the summer the A/C system reads a slight positive pressure but this building is

under a negative pressure, bringing in warm, moist air into the building through walls, doors, ceilings and under

the floor system.

Typical air in-leakage at doors

Typical pattern of air in-leakage

Typical pattern of air in-leakage

Page 50: Thermal Infrared Remote Sensing

Air Leakagefrom non-insulated areas and window frames.


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