Global soil moisture from in situ measurements using machine learning - SoMo.ml

Posted on 05.07.2021 - 07:43
SoMo.ml is global soil moisture data generated from in-situ measurements through a data-driven approach. We employ a Long Short-Term Memory (LSTM) network to extrapolate daily soil moisture dynamics in space and in time, based on in-situ measurements collected from >1,000 stations around the globe. SoMo.ml provides soil moisture at three different depths (0-10 cm, 10-30 cm, 30-50 cm) with 0.25° spatial and daily temporal resolution over the 20-years period (2000-2019).

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O, Sungmin; Orth, Rene (2021): Global soil moisture from in situ measurements using machine learning - SoMo.ml. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5142185.v1
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