Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 13
Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3337-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3337-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 13
Research article
 | 
04 Jul 2022
Research article |  | 04 Jul 2022

Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale

Rena Meyer, Wenmin Zhang, Søren Julsgaard Kragh, Mie Andreasen, Karsten Høgh Jensen, Rasmus Fensholt, Simon Stisen, and Majken C. Looms

Supplement

https://doi.org/10.5194/hess-26-3337-2022-supplement

Data sets

SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 2 P. E. O'Neill, S. Chan, E. G. Njoku, T. Jackson, and R. Bindlish https://doi.org/10.5067/RFKIZ5QY5ABN

HOBE ISMN - International Soil Moisture Network https://ismn.earth/en/networks/?id=HOBE

Cosmic-ray neutron intensity and soil moisture estimates in the period 2013-2019 at three field sites locations in the western part of Denmark M. Andreasen, M. C. Looms, and K. H. Jensen https://doi.org/10.1594/PANGAEA.909271

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Short summary
The amount and spatio-temporal distribution of soil moisture, the water in the upper soil, is of great relevance for agriculture and water management. Here, we investigate whether the established downscaling algorithm combining different satellite products to estimate medium-scale soil moisture is applicable to higher resolutions and whether results can be improved by accounting for land cover types. Original satellite data and downscaled soil moisture are compared with ground observations.
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