Raster Data

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65 Terms

1
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why use raster’s

some data is only available as a raster

2
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what is an example of data only available as a raster

imagery

3
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what type of data is typically stored in raster format

continuous data

4
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what are advantages of rasters 

  1. a simple data structure 

  2. ability to represent continuous surfaces

  3. ability to store points, lines, polygons and surfaces

5
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what does it mean rasters are simple data structure

they are a matrix of cells with values representing a coordinate and value

6
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examples of continuous surfaces

elevation

rainfall

temperature

7
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vector data tends to be ______ in a raster 

coarser 

8
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what happens when you try to make vector data finer

it takes more memory to store and do

9
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what are some disadvantages of raster data

  1. spatial inaccuracies due to limits imposed by pixel size

  2. can be very large datasets

  3. loss of precision accompanying restructuring of data into raster

10
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what is each cell known as in raster data 

known as a pixel that has a value 

11
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what do cell values represent

represents the phenomenon portrayed by the raster dataset (categorical, magnitude, height or spectral values)

12
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what are four requirements for rasters

  1. coordinate system

    1. reference coordinate or XY location (ex. 0,0)

  2. pixel size

  3. count rows or columns

13
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how are coordinates calculated

counting number of rows and columns from corner with coordinates and multiplying by cell size

14
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what does the area represented by the cell have

the same width and height

15
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how does cell size vary 

by product (some are small and others large)

16
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what do satellite images or digital images HAVE? what do they NOT have?

have - raster format

lack - internal information beyond cell value

17
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how many values per cel

ONE

18
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what type of value is a raster cell

brightness value

19
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how are the brightness value recorded

as a Digital Number (DN)

20
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what makes it easier to see but NOT changes the cell value

contrast stretching

21
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what value represents dark brightness? light brightness?

dark = closer to 0

light = closer to 255 (upper limit)

22
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what do satellites measure

how bright the reflectance of a target is

23
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what is reflectance recorded in 

as a DN

24
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what does the range of the DN values depend on

bit depth of the sensor

25
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what is the range of DN values for 8 bit data

2^8 = 256

range is 0 to 255

26
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what defines the radiometric resolution of the sensor

number of DN values

27
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what is radiometric resolution 

measure of a sensor’s ability to detect and differentiate small variations in energy intensity (brightness) from a target 

28
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are all raster’s satellite images

NO - vectors can be raster

29
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what can cell values be

positive or negative, integer, floating point

30
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what are integer values used to represent 

categorical (discrete) data

31
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what are floating point values used to represent 

continuous surfaces

32
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what kinds of data have the value at the center of the cell? the whole area of the cell?

center = DEM

whole area = soil PH, rainfall, land classification

33
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what is count

the number of cells equal to value

34
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what number must values be under for a table to be created

under 500

35
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types of data 

  1. nominal 

  2. ordinal 

  3. continuous 

36
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nominal vs ordinal vs continuous 

nominal 

  • categorical or qualitative

  • have names or codes

  • NO quantitative value

  • ex. land use or soils

ordinal

  • categorized classes

  • categorical or ordered

  • has rank

  • ex. risk, land suitability

continuous 

  • spatially continuous phenomenon

  • each pixel holds a measurement with any value in a range

  • ex. elevation, temp, rainfall

37
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what are rasters well suited for representing

data that changes continuously across a landscape

38
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how do rasters provide a method of storing continuity of a surface

using regularly spaced grid cells to represent the surface values

39
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_____ values are a common application of surface maps

elevation

40
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can rasters have math preformed on them

YES

41
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what should be done BEFORE doing raster math

  1. cell sizes are the SAME

  2. matrix size is the SAME (columns and rows)

  3. rasters align/snap to each other

42
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what is the extent 

geographic bounding area within which spatial analysis can occur 

43
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what is the extent bounding area defined as

the maximum x and y coordinates of opposite corners

44
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what is a mask

identifies areas to be included in analysis either as a raster or feature layer

45
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mask vs extent

extent - a rectangular bounding box for the entire map or the analysis,

mask - a more specific area within the extent that limits where analysis occurs

46
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rasterization vs vectorization 

rasterization: vector → raster

vectorization: same raster → vector

47
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what can cause rasterization to be spatially inaccurate

if the rid cell size is TOO large

(points too large, polygon edges too coarse, lines too wide)

48
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what defines how coarse or fine the feature will appear in a raster (rasterization)

the cell size

49
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smaller cell size in rasterization means? larger cell size?

smaller = the smoother or more detailed the raster will be BUT needs more processing power

larger = coarser or less detailed the raster BUT needs less processing power

50
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contrast the FOUR types of GIS analysis functions 

local - preformed on SINGLE cell at a time where neighboring cells DO NOT influence the result

(ex. trig functions, exponential functions)

focal - preformed on single cell AND its neighboring cells

(ex. sd, mean, sum or values)

zonal - calculation on a zone/set of cells with common value

(ex. area, perimeter)

global - computation on the raster as a WHOLE

(ex. watershed delineation)

51
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slope identifies

the maximum rate of change in value from each cell to its neighbours

52
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what can the output slope grid be calculated as

percent slope

53
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what does the slope use when calculating values 

revolving 3×3 window 

54
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what are some stats calculated by the 3×3 window

  1. mean

  2. max

  3. range

  4. slope

  5. aspect 

  6. terrain roughness 

55
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percent of slope formula

(rise/run) * 100

56
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degree of slope

tran-1(rise/run)

57
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what happens to the slope as grid cell size increases

the mean slope decreases and the surface smooths out

58
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aspect identifies

the downhill direction of a slope at a specific location

59
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what can aspect be thought of

the slope direction

60
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what are aspect values

compass direction

61
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what does a zero slope mean and what is the aspect

flat slope, aspect = -1

62
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what makes up zonal statistics 

zone layer - defines the zones 

value raster - the input values used in calculating the output for each zone

output table - can be joined to the zone layer to display stats per zone 

63
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what is a distance raster

raster file where each cell’s value is its distance from the specific feature (point, line, polygon)

64
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what is Euclidean distance

the "straight-line" distance between two points calculated using the Pythagorean theorem

<p><span>the "straight-line" distance between two points calculated using the Pythagorean theorem</span></p>
65
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what is reclassify

assign new values to old cells which put wide range of values into meaningful classes