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
what are the cause of different spectra (absorption bands) of different soil and rock types
absorption bands are mainly caused by silicate minerals (quartz or felspar)
26
detection and monitoring of small areas with thermal anomalies
thermal hotspot detection
27
what geologic phenomena can be related to thermal hotspot detection
- fires (forest fires or underground coal fires) - volcanic activity - lava flows - geothermal fields