@inproceedings{af2b36dc17d642caa1b082f99cf0118d,
title = "Improving satellite soil moisture estimates by combining passive and active microwave observations (1992-2008)",
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.",
keywords = "Long term, Microwave, Satellite observations, Soil moisture",
author = "Yi Liu and Robert Parinussa and Wouter Dorigo and {De Jeu}, Richard and Wolfgang Wagner and Matthew McCabe and Jason Evans and {Van Dijk}, Albert",
year = "2012",
language = "English (US)",
isbn = "9781907161278",
series = "IAHS-AISH Publication",
pages = "16--20",
booktitle = "Remote Sensing and Hydrology",
note = "Remote Sensing and Hydrology Symposium ; Conference date: 27-09-2010 Through 30-09-2010",
}