thermal images Flashcards

1
Q

what part of the EM spectrum does thermal remote sensing sense

A

in infrared region

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2
Q

wavelength range of thermal remote sensing

A

3-5 microns in middle infrared region
8-14 microns in thermal infrared region

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3
Q

what is the main factor in thermal remote sensing

A

surface temperature

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4
Q

how does thermal remote sensing vary?

A

seasonally, by location and exposure to solar irradiation

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5
Q

what does thermal remote sensing measure

A

emitted energy (thermal)

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6
Q

when can thermal remote sensing be done

A

no restrictions even at night time

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7
Q

how is thermal remote sensing different from reflected light imagery

A
  • main factor: surface temp
  • measures emitted energy
  • can be performed at night
  • varies seasonally, depending on location and exposure to irradiance
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8
Q

when energy varies, what also varies?

A

spectral characteristics

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9
Q

what is wiens displacement equation

A

πœ†π‘š = A/T

πœ†π‘š = wavelength of maximum spectral radiance exitance in microns
A = 2898 microns
T = temperature in K

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10
Q

wavelength at which the blackbody radiation curve reaches a maximum

A

dominant wavelength

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11
Q

Materials that absorb and radiate only a certain fraction compared to a blackbody

A

greybody

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12
Q

radiate only a certain fraction of a blackbody, but this fraction changes with wavelength

A

selective radiator

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13
Q

The fraction of energy that is radiated by a material compared to a true blackbody

A

emissivity

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14
Q

emissivity equation

A

eπœ† = M πœ†,T / M bbπœ†T

emissivity = radiant emittance of a real material in given temp / radiant emittance of a blackbody at the same temp

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15
Q

describe the ability of objects to absorb and emit if they reflect well

A

objects that reflect well would have a poor ability to absorb/emit

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16
Q

law that describes the relationship between an object’s absorbance/emittance ability and its reflectance ability

A

Kirchhoff’s law

17
Q

Kirchhoff’s equation

A

eπœ† = 1 - pπœ†

eπœ† = emissivity
pπœ† = reflectance
both in given πœ†

18
Q

what are the 2 objectives for thermal data processing

A
  1. distinguish between surface geologies using emissivity values
  2. actual surface temperature needs to be determined
19
Q

highlights the areas where a surface material of interest is predominant

A

band ratio

20
Q

what is band ratio

A

radio of two bands near a rapid change in emissivity spectrum of that material

21
Q

what is the low emissivity of sandstone

A

around 9 microns

22
Q

what is the effect of band ratio to surface temperatures

A

reduces the influence of differences in surface temperature

23
Q

what is the function of transformations

A
  • minimize the common information
  • enhance visibility of differences in the bands
24
Q

in thermal infrared, how do u differentiate rock and soil

A

they show distinct spectra

25
Q

what are the cause of different spectra (absorption bands) of different soil and rock types

A

absorption bands are mainly caused by silicate minerals (quartz or felspar)

26
Q

detection and monitoring of small areas with thermal anomalies

A

thermal hotspot detection

27
Q

what geologic phenomena can be related to thermal hotspot detection

A
  • fires (forest fires or underground coal fires)
  • volcanic activity
  • lava flows
  • geothermal fields