Trying to compute or find items on SAR images, is often hard to achieve for photo-interpreters due to the speckle. Hence, the choice of a filtering approach often appears to be a tough choice. With the large number of images acquired on an area it is now possible to use multitemporal filters. When using those kind of filters the difficulty lies in finding a trade-off between temporal and/or spatial loss. Most of the time photo-interpreters set their choice on a subjective criterion. In this paper visual interpretation performance is tested to achieve an objectivity on the choice of different filtering approaches.
This paper aims at illustrating different case examples of monitoring active coastal evolutions using remote sensing synthetic aperture radar images (ERS 1-2 and Envisat) in humid tropical areas. Effectively, the radar satellite images may be acquired under most climate conditions, especially in cloudy tropical areas. As case examples, we studied herein French Guiana shoreline and its fast evolution under the combined influences of sea currents, sediments and swells. We focused on two aspects of French Guiana littoral evolution: (1) sedimentation and erosion processes linked to mud banks displacements around Kourou City, and (2) around Iracoubo village. Lastly, we compared this short-term sedimentation balance with long-term data showing the discrepancies of short-and long-term littoral evolutions on whole French Guiana. To conclude, this work demonstrates the importance of SAR imagery to provide high-quality and high-frequency update geographic information for coastal management and littoral hazards especially in such tropical humid and cloudy areas.
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