4.7 Article

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

Journal

REMOTE SENSING
Volume 9, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/rs9020103

Keywords

cosmic-ray neutron probe; SMOS; SMAP; ASCAT; AMSR2; GLDAS2; COSMOS; CosmOz; soil moisture; soil water content; validation; triple collocation

Funding

  1. Helmholtz-Alliance on Remote Sensing and Earth System Dynamics
  2. BelSPO STEREO III HYDRAS+ project
  3. TERENO (Terrestrial Environmental Observatories) - German Federal Ministry of Education and Research (BMBF)
  4. US National Science Foundation [ATM-0838491, LTREB 08-16453]
  5. CSIRO
  6. UK National Environment Research Council
  7. Indian Institute of Science
  8. NERC [ceh020010, ceh020008, NE/R000131/1] Funding Source: UKRI
  9. Natural Environment Research Council [ceh020010, NE/R000131/1, ceh020008] Funding Source: researchfish

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]The scale difference between point in situ soil moisture measurements and low resolution satellite products limits the quality of any validation efforts in heterogeneous regions. Cosmic Ray Neutron Probes (CRNP) could be an option to fill the scale gap between both systems, as they provide area-average soil moisture within a 150-250 m radius footprint. In this study, we evaluate differences and similarities between CRNP observations, and surface soil moisture products from the Advanced Microwave Scanning Radiometer 2 (AMSR2), the METOP-A/B Advanced Scatterometer (ASCAT), the Soil Moisture Active and Passive (SMAP), the Soil Moisture and Ocean Salinity (SMOS), as well as simulations from the Global Land Data Assimilation System Version 2 (GLDAS2). Six CRNPs located on five continents have been selected as test sites: the Rur catchment in Germany, the COSMOS sites in Arizona and California (USA), and Kenya, one CosmOz site in New SouthWales (Australia), and a site in Karnataka (India). Standard validation scores as well as the Triple Collocation (TC) method identified SMAP to provide a high accuracy soil moisture product with low noise or uncertainties as compared to CRNPs. The potential of CRNPs for satellite soil moisture validation has been proven; however, biomass correction methods should be implemented to improve its application in regions with large vegetation dynamics.

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