Imaging Spectroscopy for Characterizing Soil Proper7es over Large Areas
Debsunder Dutta1, Praveen Kumar1 and Jonathan Greenberg2
1Department of Civil and Environmental Engineering, 2Department of Geography and Geographic Information Science
University of Illinois at Urbana Champaign
2015 HyspIRI Science Symposium 1
Study Area and Methods
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100 data points76 data points with NDVI <0.7
training and test set split 80% and 20%
224 predictor set
10
Reduced set of 45 predictors
10 10 10 5
Observed Soil Texture Data
clay
silty clay
sandy clay
clay loam silty clay loam
sandy clay loam
loam
silty loam
sandy loam
siltloamy sandsand
102030405060708090
10
20
30
40
50
60
70
80
90
1020
3040
5060
7080
90
[%] Sand 50−2000 µm
[%] C
lay
0−2 µ
m
[%] S
ilt 2−50 µ
m
3 6
8
91011
12
13
14
16
1718
19
20
21
23
24
25
26
2728 29
30
31
3233
34
3536
37
38
39
40
42
4344
46
48
49
50
51
52
57
58
61
62
63
64
65
666768
71
72 75
76
80
81
8283
8485
86
87
8889
91
92
9394
96
98
99
100
Predicted Soil Texture Data
clay
silty clay
sandy clay
clay loam silty clay loam
sandy clay loam
loam
silty loam
sandy loam
siltloamy sandsand
102030405060708090
10
20
30
40
50
60
70
80
90
1020
3040
5060
7080
90
[%] Sand 50−2000 µm
[%] C
lay
0−2 µ
m
[%] S
ilt 2−50 µ
m
3
6
8
9
10
11
12
13
14
16
17
18
1920
21
23
24
2526 27
28
29
30
31
32
33
3435
36
37
38
39
40
42
4344
46
48 49
50
51
52
57
58
61
62
63
64
656667687172
75
768081
8283
84
85
86
87
8889
91
92
9394
96
98
99
100
Lasso 50 times
Bootstrapping
50 times for final model coefficients
Final Model Coefficients
clay
silty claysandy clay
clay loam silty clay loam
sandy clay loam
loamsilty loam
sandy loamsiltloamy sand
sand
102030405060708090
10
20
30
40
50
60
70
80
90
1020
3040
5060
7080
90
[%] Sand 50−2000 µm
[%] C
lay 0−
2 µm
[%] Silt 2−50 µm
3 6
8
91011
12
13
14
16
1718
19
20
21
23
24
25
26
2728 29
30
31
3233
34
3536
37
38
39
40
42
4344
46
48
49
50
51
52
57
58
61
62
63
64
65
666768
71
72 75
76
80
81
8283
8485
86
87
8889
91
92
9394
96
98
99
100
clay
silty claysandy clay
clay loam silty clay loam
sandy clay loam
loamsilty loam
sandy loamsiltloamy sand
sand
102030405060708090
10
20
30
40
50
60
70
80
90
1020
3040
5060
7080
90
[%] Sand 50−2000 µm
[%] C
lay 0−
2 µm
[%] Silt 2−50 µm
3
6
8
9
10
11
12
13
14
16
17
18
1920
21
23
24
2526 27
28
29
30
31
32
33
3435
36
37
38
39
40
42
4344
46
48 49
50
51
52
57
58
61
62
63
64
656667687172
75
768081
8283
84
85
86
87
8889
91
92
9394
96
98
99
100
Observed Soil Texture Data Predicted Soil Texture Data
Spa2al Correla2on of Soil Cons2tuents
Spa2al Correla2on of Soil Cons2tuents
0 10 205 Kms
Mg [mg/kg]0 - 200
200 - 400
400 - 600
600 - 800
800 - 1,000
1,000 - 1,200
1,200 - 1,400
1,400 - 1,600
1,600 - 1,800
1,800 - 2,000
2,000 - 5,000
Erroneous Values
Water
Vegetation
0 10 205 Kms
Al [mg/kg]0 - 200
200 - 400
400 - 600
600 - 800
800 - 1,000
1,000 - 5,000
Erroneous Pixels
Water
Vegetation
0 10 205 Kms
Ca [mg/kg]0 - 1,000
1,000 - 2,000
2,000 - 3,000
3,000 - 4,000
4,000 - 5,000
5,000 - 6,000
6,000 - 7,000
7,000 - 8,000
8,000 - 15,000
Erroneous Pixels
Water
Vegetation
0 10 205 Kms
K [mg/kg]0 - 200
200 - 400
400 - 600
600 - 800
800 - 1,000
1,000 - 5,000
Erroneous Pixels
Water
Vegetation
Historic meander paths of the Mississippi River
Historic meander paths of the Mississippi River
Historic meander paths of the Mississippi River
Historic meander paths of the Mississippi River
Effects of Spa2al Resolu2on on Predic2on of Soil Cons2tuents
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0 500 1000 1500 2000Mg [mg/kg]
Are
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2-‐dimensional Gaussian func2on was used as the PSF and was used to design the kernel used for convolu2on of the images for upscaling.
The full width at half maximum (FWHM) of the kernel is taken to be the spa2al resolu2on of upscaled images and specially of HyspIRI
Convolve and Resample Resolu/on
Kernel Size
15.2 m 5 x 5
30.4 m 11 x 11
60.8 m (HyspIRI resolu2on)
21 x 21
Effects of Spa2al Resolu2on on Predic2on of Soil Cons2tuents
●
●
●
●
●
0
40
80
120
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
Cla
y [%
]
PropertyModel Values
Spatial Median
●
●
●
2.5
5.0
7.5
10.0
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
∆[%
]
●
● ●
●
0
5
10
15
20
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
SO
M [%
]
PropertyModel Values
Spatial Median
●
●
●
2.0
2.5
3.0
3.5
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
∆[%
]
●
●
●
●●
●●
0
1000
2000
3000
4000
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
Mg [m
g/k
g]
PropertyModel Values
Spatial Median
●
●
●
7.5
10.0
12.5
15.0
17.5
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
∆[%
]
●
●
●
●
●
●
●
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●
●
●
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●
0
500
1000
1500
2000
2500
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
Fe [m
g/k
g]
PropertyModel Values
Spatial Median
●
●
●
5
6
7
8
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)
Scale
∆[%
]
2 11 20 29 38 48 56 64 76 86 94
05
01
00
15
0
Gauss60.8m
Sample Number
Cla
y [%
]
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05
1015
2025
Gauss60.8m
Sample Number
SO
M [%
]
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2 11 20 29 38 48 56 64 76 86 94
0500
1000
1500
2000
2500
3000
Gauss60.8m
Sample Number
Mg [m
g/k
g]
●
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●
●
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●
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●
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●
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●
●
●
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●
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●
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●
●
●
●
●●●
●
●
2 11 20 29 38 48 56 64 76 86 94
050
010
0015
0020
0025
0030
00
Gauss60.8m
Sample Number
Fe
[mg/
kg]
●
●●
●●●
●
●
●
●
●
●
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●
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●
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●
●
●
●●●●●
●●
●
●
●
●
●
●
●
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●●
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158.76193.4 200.57
1e+03
1e+05
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)Scale
With
in P
ixel
Var
ianc
e Cl
ay [
sq. %
]
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
1.692.11
2.71
1
100
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)Scale
With
in P
ixel
Var
ianc
e SO
M [
sq. %
]
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
38983.6353163.86 59270.66
1e+05
1e+07
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)Scale
With
in P
ixel
Var
ianc
e M
g [ s
q. m
g/kg
]
●●
●
●
●
●
●
●
●
●●
49531.15 52872.2362898.28
1e+04
1e+06
15.2m (Gaussian) 30.4m (Gaussian) 60.8m (Gaussian)Scale
With
in P
ixel
Var
ianc
e Fe
[ sq
. mg/
kg]
Effects of Spa2al Resolu2on on Predic2on of Soil Cons2tuents
0 8 164 Kms
Clay (60.8m) [%]0 - 20
20 - 40
40 - 60
60 - 80
80 - 100
Erroneous Values
Water
Vegetation
0 8 164 Kms
Clay (7.6m) [%]0 - 20
20 - 40
40 - 60
60 - 80
80 - 100
Erroneous Pixels
Water
Vegetation
0 8 164 Kms
Mg (7.6m) [mg/kg]0 - 200
200 - 400
400 - 600
600 - 800
800 - 1,000
1,000 - 1,200
1,200 - 1,400
1,400 - 1,600
1,600 - 1,800
1,800 - 2,000
2,000 - 5,000
Erroneous Values
Water
Vegetation
0 8 164 Kms
Mg (60.8m) [mg/kg]0 - 200
200 - 400
400 - 600
600 - 800
800 - 1000
1000 - 1200
1200 - 1400
1400 - 1600
1600 - 1800
1800 - 2000
2000 - 5000
Erroneous Values
Water
Vegetation
0 1 20.5 Kmsµ 0 1 20.5 Kmsµ
0 1 20.5 Kmsµ 0 1 20.5 Kmsµ
(a) (b)
(c) (d)
Thank You!
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