Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations

Rogier van der Velde, Tom Rientjes, Yao-ming Ma, Yizhou Zhao, Bob Su

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

1 Citation (Scopus)

Abstract

In this paper, Synthetic Aperture Radar (SAR) based soil moisture retrieval results are presented using observations acquired over the Tibetan Plateau. Two different time series based methods are used for the retrieval of soil moisture. With method I, soil moisture is retrieved through scaling of the backscatter (σ o ) observations between the maximum and minimum observed σ o at a specific location. For method II, soil moisture is retrieved using the integral equation method (IEM, Fung et al. 1992), for which a site-specific effective surface roughness parameterization is obtained through model inversion using minimum observed σ o . The retrievals are validated against ground measurements and showed that using Method I and Method II soil moisture can be estimated with accuracies up to 0.056 and 0.035 cm 3 cm -3 , respectively.
Original languageEnglish
Title of host publication4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007)
EditorsG.J.M. De Lannoy
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages6
ISBN (Electronic)1-4244-0846-6
ISBN (Print)1-4244-0846-6
DOIs
Publication statusPublished - 2007
Event4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007 - Leuven, Belgium
Duration: 18 Jul 200720 Jul 2007
Conference number: 4

Workshop

Workshop4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007
Abbreviated titleMultiTemp
CountryBelgium
CityLeuven
Period18/07/0720/07/07

Keywords

  • ADLIB-ART-1436
  • WRS

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