Next Article in Journal
Validation Analysis of SMAP and AMSR2 Soil Moisture Products over the United States Using Ground-Based Measurements
Previous Article in Journal
Analysis of Ocean Tide Loading in Differential InSAR Measurements
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(2), 103; doi:10.3390/rs9020103

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

1
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany
2
Department of Hydrology & Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USA
3
Formerly at Department of Civil Engineering, Monash University, Clayton VIC 3800, Australia
4
Centre for Ecology & Hydrology, Land Surface Flux Measurements Group, Wallingford OX10 8BB, UK
5
Interdisciplinary Centre for Water Research (ICWaR) & Indo-French Cell for Water Sciences, Department of Civil Engineering, Indian Institute of Science, Bangalore 560012, India
*
Author to whom correspondence should be addressed.
Academic Editors: Lenio Soares Galvao, Richard Müller and Prasad S. Thenkabail
Received: 11 November 2016 / Revised: 13 January 2017 / Accepted: 19 January 2017 / Published: 25 January 2017
View Full-Text   |   Download PDF [5377 KB, uploaded 25 January 2017]   |  

Abstract

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 South Wales (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. View Full-Text
Keywords: cosmic-ray neutron probe; SMOS; SMAP; ASCAT; AMSR2; GLDAS2; COSMOS; CosmOz; soil moisture; soil water content; validation; triple collocation cosmic-ray neutron probe; SMOS; SMAP; ASCAT; AMSR2; GLDAS2; COSMOS; CosmOz; soil moisture; soil water content; validation; triple collocation
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Montzka, C.; Bogena, H.R.; Zreda, M.; Monerris, A.; Morrison, R.; Muddu, S.; Vereecken, H. Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes. Remote Sens. 2017, 9, 103.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top