Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring

Abstract

Wetlands are areas where the presence of water at or near the soil surface drives the natural system. Imaging radars (SARs) have distinct characteristics which make them of significant value for monitoring and mapping wetland inundation dynamics. The presence or absence of water (which has a much higher dielectric constant than dry or wet soil) in wetlands may significantly alter the signal detected from these areas depending on the dominant vegetation type, density, and height. The objective of this paper is to present our current research efforts to explain and correctly simulate the radar response of wetland vegetation/inundation mixtures, and use simulations as an aid for retrieval applications. The radar response of junco marshes under different flood conditions and vegetation stages is analysed using a set of 13 multipolarization ENVISAT ASAR scenes acquired over the Paraná River Delta marshes during the period 2003–2005. The main aspect of the approach followed is the simulation of SAR wave interactions with vegetation and water, using an adapted and improved version of the EM model developed at Tor Vergata University. The results obtained indicate that with the refined EM model, it is possible to represent with a good accuracy VV and HH SAR responses of junco marshes for a variety of environmental conditions. Further work and data are needed to explain measured HV backscattering. The general agreement obtained between simulations and observations permitted the development of a simple retrieval scheme, and estimates of water level below the canopy were obtained for different environmental conditions. RMS errors of forward simulations and retrievals are reported and discussed.

Acknowledgements

The authors especially thank the European Space Agency (ESA) for the continuous support through AO3 232 and AO 667 supported projects, the National Commission for Space Activities (CONAE) for the optical data, the National Water Institute (INA), and the National Hydrologic Service (SHN) for providing us river water levels and precipitation data. This work was partially funded by the following Argentine institutions: CONICET (PID 6109), Secretaria de Ciencia y Tecnologia (SeCyT) (PICT14339/2003), and by the cooperation project between Ministero Affari Esteri (MAE) and SeCyT (IT/PA03‐EVII/074).