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Reed marshes, the world’s most widespread type of wetland vegetation, are undergoing major changes as a result of climate changesand human activities. The presence or absence of water in reed marshes has a significant impact on the whole ecosystem and remainsa key indicator to identify the effective area of a wetland and help estimate the degree of degeneration. Past studies havedemonstrated the use of interferometric synthetic aperture radar (InSAR) to map water-level changes for flooded reeds. However, theidentification of the different hydrological states of reed marshes is often poorly understood. The analysis given in this paper showsthat L-band interferometric coherence is very sensitive to the water surface conditions beneath reed marshes and so can be used asclassifier. A method based on a statistical analysis of the coherence distributions for wet and dry reeds using InSAR pairs was,therefore, investigated in this study. The experimental results were validated by in-situ data and showed very good agreement. This isthe first time that information about the water cover under herbaceous wetlands has been derived using interferometric coherencevalues. This method can also effectively and easily be applied to monitor the hydrological conditions beneath other herbaceouswetlands

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

A method for monitoring hydrological conditions beneath herbaceous wetlands using multi-temporal ALOS PALSAR coherence data