Resolutions

Question 1

n-bit

Answer 1

Brightness value range, 2 to the nth power

Question 2

Spatial Resolution

Answer 2

The physical space covered by a pixel, ie 30 meters, Low resolution = coarse, high resolution = fine

Question 3

Landsat TM Spatial Res

Answer 3

30meters, thematic mapper on Landsat 4-5

Question 4

Temporal Resolution

Answer 4

Revisit period, length of time to complete one orbit

Question 5

Landsat Temporal Res

Answer 5

16 days per sat, 8 days for the whole system

Question 6

Spatial vs Temporal Res

Answer 6

Spatial goes down as temporal goes up, so add more satellites, drones kind of break this

Question 7

Radiometric Resolution

Answer 7

bits/pixel depth, a sensors ability to detect differences in EMR, 8 and up is great cause human eyes are 4-bit

Question 8

Spectral Resolution

Answer 8

Number AND size of the bands picked up
Higher res = Narrower the wavelength range for a band, and more bands

Question 9

Hyper-Spectral

Answer 9

TONS of narrow bands (224 bands on AVIRIS) to form hyperspectral datacube

Question 10

How Bandwidths are measured

Answer 10

Full Width at Half Maximum (FWHM) because the bandpass filters aren’t that sharp

Question 11

Additive Color Systems

Answer 11

Computers RGB system, sensors convert radiance to DNs and may an image for each band that gets layered together in the computer

Question 12

Standard False Color recipe

Answer 12

R – gets NIR
G – gets Red
B – gets green