Improving satellite soil moisture estimates by combining passive and active microwave observations (1992-2008)

Yi Liu, Robert Parinussa, Wouter Dorigo, Richard De Jeu, Wolfgang Wagner, Matthew McCabe, Jason Evans, Albert Van Dijk

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We propose a methodology to blend soil moisture retrievals from passive (SSM/I, TRMM and AMSR-E) and active (ERS and ASCAT) microwave satellite observations and obtain an improved long-term (1992-2008) global product. The first step is to merge the three passive microwave data sets into a single "passive" product and two active microwave data sets into a single "active" product. This avoids the issue of differences in sensor specifications resulting in different absolute soil moisture values. Next, both data sets are adjusted against a common reference (GLDAS-Noah), which scales both data sets to the same dynamic range and allows the generation of a blended product. The proposed approach has the potential to be applied to existing as well as new missions.

Original languageEnglish (US)
Title of host publicationRemote Sensing and Hydrology
Pages16-20
Number of pages5
StatePublished - Dec 1 2012
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: Sep 27 2010Sep 30 2010

Publication series

NameIAHS-AISH Publication
Volume352
ISSN (Print)0144-7815

Other

OtherRemote Sensing and Hydrology Symposium
CountryUnited States
CityJackson Hole, WY
Period09/27/1009/30/10

Keywords

  • Long term
  • Microwave
  • Satellite observations
  • Soil moisture

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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