pa source app - landsat thermal images - useful for pa decision making - ben jones 2015 spaa...
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Landsat Thermal Images
Useful for PA decision making?
Ben Jones and Charles DuBourg
[email protected], @malleefocus, @pasource
Reynolds, 2001
Inagaki and Nachit, 2008
Ben Biddulph, DAFWA
Thermal data sources
• MODIS – 1km pixels
• Landsat 7 – 60m pixels (hi/lo, 8 bit)
• Landsat 8 – 100m pixels (2 bands, 12 bit)
Dookie Moisture Probes
5
7
9
11
13
15
17
19
5 7 9 11 13 15 17 19
Temperature (C)
La
nd
su
rfa
ce
te
mp
(C
)
Anker Harmer - Woodies McKinley Ludeman 1:1 S NSW
a. Screen (air)
5
7
9
11
13
15
17
19
5 7 9 11 13 15 17 19
Temperature (C)
Land s
urf
ace t
em
p (
C)
Anker Harmer - Woodies McKinley Ludeman 1:1 S NSW
b. Soil (0-10cm)
August 20
August 29
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0
Estimated screen temp (C)
Infr
a-r
ed
th
erm
om
ete
r te
mp
(C
)
Plant Sun-soil
a. Screen temperature change during sampling
0.0
2.0
4.0
6.0
8.0
10.0
12.0
0.0 2.0 4.0 6.0 8.0 10.0 12.0
Plant temp (C)
So
il te
mp
(C
)
Harmer - Soill McKinley - soil
b. Soil-plant correlation
9.0
10.0
11.0
12.0
13.0
14.0
15.0
16.0
17.0
18.0
9 5 7 2 10 4 8 3 1 6 9 8 6 4 5 7 3 2 1
Harmer McKinley
Sample (lowest to highest LST)
Tem
pera
ture
(C
)
Land surface temp Plant Soil-sun
a. Temperatures - Aug 20
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
3 4 2 5 8 9 10 7 6 1 5 6 8 3 2 4 9 7 1 13 12 14 11
Harmer McKinley McKinley WS
Sample (lowest to highest LST)
Tem
pera
ture
(C
)
Land surface temp Plant Soil
a. Temperatures - Aug 29
8.4
8.6
8.8
9.0
9.2
9.4
9.6
9.8
3 4 2 5 8 9 10 7 6 1 5 6 8 3 2 4 9 7 1 13 12 14 11
Harmer McKinley McKinley WS
Sample (lowest to highest LST)
Te
mp
era
ture
(C
)
0.75
0.76
0.77
0.78
0.79
0.80
0.81
0.82
0.83
0.84
ND
VI
Land surface temp NDVI
b. NDVI - Aug 29
10.3
10.4
10.5
10.6
10.7
10.8
10.9
11.0
11.1
11.2
11.3
9 5 7 2 10 4 8 3 1 6 9 8 6 4 5 7 3 2 1
Harmer McKinley
Sample (lowest to highest LST)
Te
mp
era
ture
(C
)
0.74
0.75
0.76
0.77
0.78
0.79
0.80
0.81
0.82
ND
VI
Land surface temp NDVI
b. NDVI - Aug 20
• Imagery temp correlates quite well with
paddock temp
• Patterns more dynamic than NDVI/RGB
• A useful alternative look at a crop/paddock
• Interpretation needs to consider context
– Time of pass and recent weather
– Elevation, wind
Sourcing Thermal
• glovis.usgs.gov
• Watch.farm/watch.html