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In the early years of soil moisture measurement, anomalies in soil moisture data may have been easier to attribute to faulty sensors. Now that sensor rate of failure is ~0.5%, how do you explain deviations from expected data patterns? In this 30-minute webinar, followed by a ~15-minute Q&A, research scientist Dr. Colin Campbell will discuss unexpected data patterns and how to determine potential root causes.
Join Dr. Campbell as he walks you through data set examples, including:
Dr. Colin Campbell has been a research scientist at METER for 20 years following his Ph.D. at Texas A&M University in Soil Physics. He is currently serving as Vice President of METER Environment. He is also adjunct faculty with the Dept. of Crop and Soil Sciences at Washington State University where he co-teaches Environmental Biophysics, a class he took over from his father, Gaylon, nearly 20 years ago. Dr. Campbell’s early research focused on field-scale measurements of CO2 and water vapor flux but has shifted toward moisture and heat flow instrumentation for the soil-plant-atmosphere continuum.
Our scientists have decades of experience helping researchers and growers measure the soil-plant-atmosphere continuum.
Case studies, webinars, and articles you’ll love
Receive the latest content on a regular basis.