How do you explain deviations from expected soil moisture data patterns? To get the most out of your soil moisture sensor network, you need to know how to decipher anomalies within each dataset. Accurate attribution of each change within your data is crucial to ensuring your results are thorough and accurate. In this 40-minute webinar, METER research scientist Dr. Colin Campbell discusses how to understand what your data is trying to tell you.

13. 0
0.1
0.2
0.3
0.4
0.5
0.6
2/19/20 2/29/20 3/10/20 3/20/20 3/30/20 4/9/20 4/19/20 4/29/20
VWC
(m3/m3)
time
5 cm
5 cm - air gap 5 cm - no air gap

14. 0
0.1
0.2
0.3
0.4
0.5
0.6
2/19/20 2/29/20 3/10/20 3/20/20 3/30/20 4/9/20 4/19/20 4/29/20
VWC
(m3/m3)
time
10 cm
10 cm - air gap 10 cm - no air gap

15. 0
0.1
0.2
0.3
0.4
0.5
0.6
2/19/20 2/29/20 3/10/20 3/20/20 3/30/20 4/9/20 4/19/20 4/29/20
VWC
(m3/m3)
time
20 cm
20 cm - air gap 20 cm - no air gap

25. Optimal
Stressed
Wilting

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