Validation practices for satellite soil moisture retrievals: what are (the) errors?

A. Gruber, G. De Lannoy, C. Albergel, A. Al-Yaari, L. Brocca, J. C. Calvet, A. Colliander, M. Cosh, W. Crow, W. Dorigo, C. Draper, M. Hirschi, Y. Kerr, A. Konings, W. Lahoz, K. McColl, C. Montzka, J. Muñoz-Sabater, J. Peng, R. ReichleP. Richaume, C. Rüdiger, T. Scanlon, R. van der Schalie, J. P. Wigneron, W. Wagner

Research output: Contribution to journalReview ArticleOtherpeer-review

9 Citations (Scopus)

Abstract

This paper presents a community effort to develop good practice guidelines for the validation of global coarse-scale satellite soil moisture products. We provide theoretical background, a review of state-of-the-art methodologies for estimating errors in soil moisture data sets, practical recommendations on data pre-processing and presentation of statistical results, and a recommended validation protocol that is supplemented with an example validation exercise focused on microwave-based surface soil moisture products. We conclude by identifying research gaps that should be addressed in the near future.

Original languageEnglish
Article number111806
Number of pages34
JournalRemote Sensing of Environment
Volume244
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Error characterization
  • Error estimation
  • Good practice
  • Remote sensing
  • Soil moisture
  • Standardisation
  • Validation

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