Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 9
Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4807-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4807-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 9
Research article
 | 
03 Sep 2021
Research article |  | 03 Sep 2021

Spatio-temporal soil moisture retrieval at the catchment scale using a dense network of cosmic-ray neutron sensors

Maik Heistermann, Till Francke, Martin Schrön, and Sascha E. Oswald

Viewed

Total article views: 3,085 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,965 1,031 89 3,085 244 58 55
  • HTML: 1,965
  • PDF: 1,031
  • XML: 89
  • Total: 3,085
  • Supplement: 244
  • BibTeX: 58
  • EndNote: 55
Views and downloads (calculated since 03 Feb 2021)
Cumulative views and downloads (calculated since 03 Feb 2021)

Viewed (geographical distribution)

Total article views: 3,085 (including HTML, PDF, and XML) Thereof 2,801 with geography defined and 284 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Download
Short summary
Cosmic-ray neutron sensing (CRNS) is a powerful technique for retrieving representative estimates of soil moisture in footprints extending over hectometres in the horizontal and decimetres in the vertical. This study, however, demonstrates the potential of CRNS to obtain spatio-temporal patterns of soil moisture beyond isolated footprints. To that end, we analyse data from a unique observational campaign that featured a dense network of more than 20 neutron detectors in an area of just 1 km2.
Read more