Soil moisture inversion from ERS and SIR-C imagery at the Zwalm catchment, Belgium

Niko E.C. Verhoest, Rudi Hoeben, Francois P. De Troch, Peter A. Troch

Research output: Contribution to conferencePaper

10 Scopus citations

Abstract

Several models have been presented in the recent past which should allow soil moisture inversion from bare soil radar backscattering. Three widely used models (i.e. the IEM, the models of Dubois et al. and of Oh et al.) have been applied to ERS and SIR-C data obtained over the Zwalm catchment in Belgium. Results show an inability of the models to estimate surface soil moisture accurately through direct inversion. However, applying the method of effective roughness parameters on the multi-temporal ERS tandem mission data resulted in a significant improvement of the soil moisture retrieval. The same method applied to multi-frequency SIR-C data was not able to improve the estimations. It is believed that the inversions suffer from the high soil roughness sensitivity of the backscattering at higher incidence angles.

Original languageEnglish (US)
Pages2041-2043
Number of pages3
StatePublished - Dec 1 2000
Externally publishedYes
Event2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000) - Honolulu, HI, USA
Duration: Jul 24 2000Jul 28 2000

Other

Other2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000)
CityHonolulu, HI, USA
Period7/24/007/28/00

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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    Verhoest, N. E. C., Hoeben, R., De Troch, F. P., & Troch, P. A. (2000). Soil moisture inversion from ERS and SIR-C imagery at the Zwalm catchment, Belgium. 2041-2043. Paper presented at 2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI, USA, .