Remote sensing of surface soil moisture using EMAC/ESAR data

P. A. Troch*, Z. Su, F. P. De Troch

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


During the European Multisensor Airborne Campaign 1994 (EMAC 94), the Experimental Synthetic Aperture Radar (ESAR) and the Reflective Optics System Imaging Spectrometer (ROSIS) were flown over an experimental catchment in Belgium. Concurrent to the ESAR overflights, field data were collected in two subcatchments of the Zwalmbeek. The main objective of this remote-sensing experiment was to retrieve spatial information of surface soil moisture content. An inversion algorithm, based on the Integral Equation Model (Fung et al., 1992), was developed to compute field-averaged soil moisture values from two independent radar images. Good agreement between remotely sensed soil moisture and field observations is obtained. Information on soil moisture patterns is then used to calibrate a distributed catchment-scale water balance model. The model allows to compute, based on observed meteorological variables, soil moisture patterns prior and after SAR observations.

Original languageEnglish
Pages (from-to)17-21
Number of pages5
JournalEarth Observation Quarterly
Issue number53
Publication statusPublished - 1 Dec 1996
Externally publishedYes


Dive into the research topics of 'Remote sensing of surface soil moisture using EMAC/ESAR data'. Together they form a unique fingerprint.

Cite this