Ers Final

Front 1

Describe cirrus clouds

Back 1

thin and wispy.

Front 2

Describe autocumulus clouds

Back 2

in rolls or layers

Front 3

Describe cumulus clouds

Back 3

dense individual elements in the form of puffs, or mounds. Most common in warm, summer weather

Front 4

Anticyclone

Back 4

decending movement of air, and barometric pressure increase.

Front 5

von Karman vortices

Back 5

chain of swirls

Front 6

What is Sounder Data?

Back 6

Active far infrared, RADAR, or LASER remote sensing. used to determine cloud height

Front 7

NOAA

Back 7

National Oceanographic and Atmospheric Administration

Front 8

Supercell thunderstorm

Back 8

A long lived and and highly organized storm feeding off an updraft that is tilted and rotating.

Front 9

Aura satillite

Back 9

Satellite mission to observe ozone layer recovery, monitor air quality, and climate change.

Front 10

CALIPSO

Back 10

provides key measurments of aerosol and cloud properties needed to improve climate predictions.

Front 11

WRF Model

Back 11

Weather Research and Forcast model.

Front 12

Heat island

Back 12

heating of air above over the city due to replacement of canopy by cement, asphalt, rooftops, and other man-made materials.

Front 13

How can romote sensing assist habitat mapping

Back 13

By analyzing image texture

Front 14

Define habitat fragmentation

Back 14

A human caused process that describes the emergence of discontinuties in an organism's environment.

Front 15

What are 3 aspects of landscape structure?

Back 15

1) Composition of the landscape
2) Configuration of the landscape
3) The shape of the patches in the landscape

Front 16

Define image texture

Back 16

a function of the spatial variation in pixel intensities (grey values)

Front 17

What is a high pass filter?

Back 17

a filter that passes high frequencies well, but reduces frequencies lower than the cutoff frequency

Front 18

What is a low pass filter?

Back 18

a filter that passes low frequencies but reduces frequencies higher than the cutoff frequency.

Front 19

What is a fractal?

Back 19

a rough or fragmented geometric shape that can be subdivided into parts each of which is a reduced size copy of the whole.

Front 20

What is kregging?

Back 20

interpolation between points based on relationship to distance.

Front 21

Define LAI

Back 21

unit leaf area per unit ground area

Front 22

Define LAD (Leaf Angle Distribution)

Back 22

angle of incident solar radiation and the angle of the leaf.

Front 23

What is the typical dimention for LAI?

Back 23

meter squared

Front 24

Explain continuum removal technique.

Back 24

It fits a convex hull in order to normalize the curve and remove backgroud noise

Front 25

Name a few biophysical variables

Back 25

Vegetation canopies:
1)Absorption
2)Reflection
3)Transmission

Front 26

Define endmember

Back 26

Pure representation of a class of ojects in an image

Front 27

What technique that requires identification of endmembers?

Back 27

MESMA

Front 28

Decribe LSU

Back 28

A mathmatical model where the observed spectrum is the result of multiplying the library of pure endmembers spectra by the endmember abundances.

Front 29

Explain supervised classification

Back 29

Classification using endmembers

Front 30

Explain unsupervised classification

Back 30

Classification using statistical tecniques in to natural spectral classes.

Front 31

Explain parellelpiped classification

Back 31

Uses simple decision rule to classify multispectral data (supervised).

Front 32

Explain look-up table classification

Back 32

For each class, a table of band outputs are produced with their corresponding classes. For each image pixel, the image outputs are matched against the table to generate the class.

Front 33

Name 3 factors that determine canopy reflectance

Back 33

1)Spectral scatter/absorbing properties of canopy componets
2) Canopy architecture
3) Directions of illumination and view

Front 34

How does moisture stress affect the reflectance of a leaf measured in the infrared region between 1.4um and 2.6um?

Back 34

water absorbs strongly in the SWIR. Moisture stress should thus increase reflectance in this region.

Front 35

What happens to band-to-band correlation and classification accuracy when one band (red, for example) is misregistered relative to another band?

Back 35

Band to band correlation will decrease, and classification accuracy will decrease.

Front 36

What is the difference between a 'maximum likelihood classification' and a 'Gaussian maximum likelihood classification?'

Back 36

Gaussian maximum likelihood is similar ot maximum likelihood, but assumes that spectral responses for a given class are normally distributed.

Front 37

Describe 3 ways that increased accuracy of satellites will improve severe strom prediction.

Back 37

1) We can detect the amount and type of precipitation in storm systems using IR-based cloud top temperatures.
2) Satellites allow us to track the location and heading of storms.
3) Satellites allow us to understand the composition and features of convective mesoscale systems.