What a fantastic way to start our CEEDS Seminar Series; with over 80 participants joining us on Zoom for our first event.
The topic of the first seminar was 'Visions of a Data Driven Environmental Science' and took the format of 4 short, 10-minute visionary statements on the subject followed by Q&A. The speakers were Matt Fry who looked at the role of machine learning in quality control around environmental data streams, Amber Leeson who drew on her experiences of using data science methods in her work as a glaciologist, Michael Hollaway who presented a vision of where we will all be doing collaborative science using virtual labs, and Bran Knowles who talked about why trust matters and how we can reinforce trust in data-driven environmental science.
Our next seminar will be held on Wednesday 3rd June, 2:00-3:30pm, on the topic of "Using Data Science to Advance Quantification of Soil Moisture". This seminar will focus on the grand challenge of quantifying soil moisture at the national scale. Both observations at large (satellite) and small (site-based COSMOS UK) scales combined with large-scale models (1km grid across mainland Britain) will be discussed to better understand this challenge.
Jian Peng (University of Oxford): High-resolution soil moisture estimation and evaluation from Earth observation in the UK mainland.
Elizabeth Cooper (UKCEH): Using data assimilation to optimise pedotransfer functions using large-scale soil moisture observations.
Jessica Davis (Lancaster University): Making sense of soil - detecting soil change with multivariate sensing and mechanistically informed machine learning.
David Robinson (UKCEH): Soil moisture, capturing alternative states.
Further details, including joining instructions, can be found at: