Exploring the potential for multipatch soil-moisture retrievals using multiparameter optimization techniques

Eleanor J. Burke, Luis A. Bastidas, W. James Shuttleworth

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

This paper explores the potential to retrieve surface soil moisture and optical depth simultaneously for several different patches of land cover in a single pixel from dual polarization, multiangle microwave brightness temperature observations such as will be provided by, for instance, the Soil Moisture and Ocean Salinity (SMOS) mission. MICRO-SWEAT, a coupled land-surface and microwave emission model, was used in a year-long simulation to define the patch-specific soil moisture, optical depth, and synthetic, pixel-average microwave brightness temperatures similar to those that will be provided by SMOS. The microwave emission component of MICRO-SWEAT also forms the basis of an exploratory retrieval algorithm in which the difference between (synthetic) observations of microwave brightness temperatures and modeled, pixel-average microwave brightness temperatures for different input values of soil moisture and optical depth is minimized using the shuffled complex evolution (SCE) optimization procedure. Results are presented for two synthetic pixels, one with eight patches, where only the soil moisture is retrieved, and one with five patches, where both the soil moisture and the optical depth are retrieved.

Original languageEnglish (US)
Pages (from-to)1114-1120
Number of pages7
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume40
Issue number5
DOIs
Publication statusPublished - May 2002

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Keywords

  • Passive microwave
  • Retrieval
  • SMOS
  • Soil moisture
  • Vegetation

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Computers in Earth Sciences
  • Electrical and Electronic Engineering

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