SENTINEL-1 DATA TO MAP FLOODED AREAS: THE ROLE OF INSAR COHERENCE AND POLARIMETRIC INFORMATION [* Cross-Reference *]

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Asterios Papastergios; Marco Chini; I. Parcharidis, 2026, "SENTINEL-1 DATA TO MAP FLOODED AREAS: THE ROLE OF INSAR COHERENCE AND POLARIMETRIC INFORMATION [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.HAJMOH, LIST Open Repository, V1
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Description
SAR earth observation data can provide high quality flood maps and information to better assess the flood risk accordingly planning as well as to support civil protection authorities during emergency phase. The scope of this paper is to create flood extent maps from a series of SAR scenes of the Evros basin which represents a transboundary floodplain. The study uses time series SAR images of Sentnel-1 ESA’s Copernicus satellite system covering the period October 2014 to May 2015. The methodology tries to identify the flood that occurs in three main land cover classes, such as urban areas, bare or poorly vegetated soil and vegetated areas, taking advantage of co- and cross-polarized SAR backscattering channels, and the InSAR coherence to better characterize the landscape. Dual-pol SAR data provides the opportunity to have a better understanding and interpretation of flood detection due to way different land cover react to different polarizations. Thus, with the implementation of InSAR coherence estimation we may achieve a better record and knowledge of the flooded areas, over time, in the specific region. (2017-07-27)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.12681/bgsg.11896 for the original and latest version of the publication*** (2026-07-01)
Subject Earth and Environmental Sciences; Engineering; Physics
Keyword Flood myth, Remote sensing, Coherence (philosophical gambling strategy), Interferometric synthetic aperture radar, Land cover, Structural basin, Synthetic aperture radar, Geography, Scope (computer science), Environmental science, Cartography, Land use, Geology, Computer science, Geomorphology, Civil engineering, Engineering
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