14 citations · 17 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2022★ 3 cited
High-resolution European daily soil moisture derived with machine learning (2003-2020)
Sungmin O, Rene Orth, Ulrich Weber +1
Machine learning (ML) has emerged as a novel tool for generating large-scale land surface data in recent years. ML can learn the relationship between input and target, e.g. meteoro…
physics.ao-ph2020★ 14 cited
Global soil moisture from in-situ measurements using machine learning -- SoMo.ml
Sungmin O, Rene Orth
While soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite obser…