Initial soil moisture retrievals from AMSR-E: Multiscale comparison using in situ data and rainfall patterns overs Iowa

M. F. McCabe, Eric F. Wood, H. Gao

Research output: Contribution to journalArticle

38 Scopus citations

Abstract

Coupled with information from the North American Land Data Assimilation System (NLDAS), standard soil datasets and vegetation and land surface parameters, a land surface microwave emission model (LSMEM) is employed using AMSR-E brightness temperatures at X-band (10.7 GHz) to determine soil moisture over Iowa for June and July 2002. Comparisons of calculated soil moisture with in situ validation data collected from a densely monitored watershed as part of the SMEX02 campaign, indicate that accuracies in the order of 3% vol./vol. are achievable, even where agricultural surfaces such as corn and soybean dominate. Additionally, to qualitatively evaluate the derived product and identify the level of coherence between related hydrometeorological data, a comparison of soil moisture retrievals with precipitation patterns is undertaken. Consistent spatial correlation is observed between these two fields, illustrating not only that remotely sensed soil moisture has potential to provide improved characterisation of large scale precipitation patterns, but that such patterns may also offer a pathway towards enhanced assessment of soil moisture retrievals.

Original languageEnglish (US)
Pages (from-to)1-4
Number of pages4
JournalGeophysical Research Letters
Volume32
Issue number6
DOIs
StatePublished - Mar 28 2005

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Earth and Planetary Sciences(all)

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