Assessment and intercomparison of 23 global satellite and model-based soil moisture products using cosmic ray neutron sensing observations over Europe
Year: 2025
Type: article
Abstract: Comprehensive evaluation of satellite and model-based soil moisture (SM) products is essential for their further development and application. With the advent of Cosmic Ray Neutron Sensing (CRNS), which has an observation radius of 130–240 m, the spatial representativeness mismatch between these grid-based SM products and ground single-point observations during the evaluation process can be feasibly relieved. In this study, we systematically evaluated 23 gridded SM products, including single-sensor satellite, multi-sensor merged, and model-based products, using 68 CRNS measurement sites across the Europe. Our evaluation revealed that the SMAP-INRAE-BORDEAUX (SMAP-IB) SM retrievals showed the superior consistency with CRNS measurements among all analyzed products, demonstrating both high correlation ( R = 0.80) and low unbiased root mean square error (ubRMSE = 0.050 m 3 /m 3 ). The CCI/C3S combined active-passive SM products ranked second in performance ( R > 0.75, ubRMSE <0.060 m 3 /m 3 ). In the bias analysis, 17 products had negative bias (−0.003 m 3 /m 3 to −0.190 m 3 /m 3 ) against CRNS measurements, while AMSR2-LPRM at C1 and C2 bands and CCI/C3S at active and passive products had positive bias (0.011 m 3 /m 3 to 0.161 m 3 /m 3 ). It was also found that the capabilities of all SM products retrievals degraded in terms of R and ubRMSE with increasing vegetation density, topographic complexity and soil wetness. Most products showed the lowest ubRMSE and highest R values in cropland compared to other land cover types. Our study emphasizes the substantial potential of cosmic field-scale SM observations for the validation of satellite- and model-based SM products, and our findings have the potential to advance algorithm refinement, product improvement, and hydrometeorological applications.
Source: Remote Sensing of Environment
Institutions: Southwest University, Université de Bordeaux, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Interaction Sol Plante Atmosphère, Southwest Jiaotong University, KU Leuven, Helmholtz Centre for Environmental Research, Leipzig University, Chinese Academy of Sciences, Aerospace Information Research Institute, Indian Institute of Technology Bombay, European Centre for Medium-Range Weather Forecasts, Lanzhou University, University of Minnesota, Finnish Meteorological Institute
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,450
Awards: G4680078316, G4732278266, G6994462013
OpenAlex ID: W7117554887