Accuracy Assessment

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AA_Vis_1

description

Accuracy Assessment. Validating an Electronic Land Cover Map. AA_Vis_1. Using the software “MultiSpec,” students follow protocols to prepare a “clustered” image of their GLOBE Study Site. Students examine the “true color” And “false-color Infrared” images - PowerPoint PPT Presentation

Transcript of Accuracy Assessment

Page 1: Accuracy Assessment

AA_Vis_1

Page 2: Accuracy Assessment

Using the software “MultiSpec,” students follow protocols to prepare a “clustered” image

of their GLOBE Study Site

Page 3: Accuracy Assessment

Students examine the “true color”And “false-color Infrared” images

provided by GLOBE to identify land cover types.

AA_Vis_2

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Students use the “MUC System” to identify land cover types in their classified image.

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Using either a local map,

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Or their Landsat image,

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Students gather data from 90 x 90

m Qualitative Land Cover Samples to check the

accuracy of their map

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.

Site 1MUC 0222 Site 2

MUC 4522

Site 3MUC 93

Site 4MUC 4522

Site 5MUC 52

Site 6MUC 72

Site 7MUC 4522

Site 8MUC 92

At each of these sites, the MUC value is determined, a GPS reading is

taken at the center, and

photographs are taken in

each cardinal direction.

These are Validation

Data

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The Accuracy Assessment Data

Work Sheet is filled out for all

sites.

Landing Woods 0222 0222 √

Rachel Carson_1 4522 4522 √

Burnham Plaza 91 93 √

Rachel Carson_2 4522 4522 √

Dunes Development 91 52 √

Wells Beach 72 72 √

Rachel Carson_3 4522 4522 √

Wells Corner 91 92 √

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0222 4522 91 92 93 72 52 Total

The “Difference/Error Matrix” is constructed

Validation Data (What we actually found)

Map Data(What we expected

to find)

0222

4522

91

92

93

72

52

Total

Page 11: Accuracy Assessment

0222 4522 91 92 93 72 52 Total

Map and Validation data are entered on the Matrix

Validation Data (What we actually found)

Map Data(What we expected

to find)

0222

4522

91

92

93

72

52

Total

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0222 4522 91 92 93 72 52 Total

Totals are calculated for rows and columns

Validation Data (What we actually found)

Map Data(What we expected

to find)

0222

4522

91

92

93

72

52

Total

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1

3

3

0

0

1

0

81 3 0 1 1 1 1

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Overall Accuracy is calculated

Overall Accuracy = -------------------------------------- x 100

Overall Accuracy = ----- x 100 = 63%

Sum of Major Diagonal Tallies

Total Number of Samples

58

Map Data

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More Qualitative sites are visited, and the Matrix is developed for all classes on the map

0222 4522 91 92 93 72 52 62 63 Total

0222

4522

91

92

93

72

52

62

63

Total

12

6

8 4 2

5 9 4

81

3

32

3

4

2

3

12

6

14

18

9

3

5

5

7

7912 6 13 16 14 3 3 6 6

MapData

Validation Data

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Overall Accuracy is Calculated

Overall Accuracy = --------- x 100 = 72% 5779

Map Data

Validation Data

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Producer Accuracy is Calculated

Producer Accuracy tells us how well we did in

identifyingLand cover types in our

map.

Producer Accuracy = ----------------------------- x 100 = -------- = 62% # Correctly Identified

Column Total

813

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Validation Data

User Accuracy is Calculated

User Accuracy = ----------------------------- x 100 = -------- = 57% # Correctly Identified

Row Total

814

User Accuracy tells us how accurate someone else

would be using our data in the field

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REMOTELY SENSED FOREST VEGETATION MAPS:

RASTER MAPS CREATED FROMLANDSAT TM IMAGERY

July 1996 Landsat TM Image Pawtuckaway Study Area, NH, USA

Forest Cover Type Map from Classification of July 1996 Landsat TM Image Pawtuckaway Study Area, NH, USA

LegendClass Names

White Pine

White Pine-Hemlock

Other Conifer

Hemlock

Oak

Red Maple

Mixed Forest

Nonforest

Beech

Other

ScaleKilometers

AA_Vis_13

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ERROR MATRICES ANDESTIMATES OF ACCURACY

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