Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 21
Articles | Volume 29, issue 21
https://doi.org/10.5194/hess-29-6237-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-6237-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 21
Research article
 | 
13 Nov 2025
Research article |  | 13 Nov 2025

High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques

Emmihenna Jääskeläinen, Miska Luoto, Pauli Putkiranta, Mika Aurela, and Tarmo Virtanen

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Short summary
The challenge with current satellite-based soil moisture products is their coarse resolution. Therefore, we used machine-learning model to improve spatial resolution of well-known SMAP (Soil Moisture Active Passive) soil moisture data, by using in situ soil moisture observations and additional weather data and vegetation properties. Comparisons against independent data set show that the model estimated soil moisture values have better agreement with in situ observations compared to other SMAP-related soil moisture data.
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