| More


Views: 241 Downloads: 516
A. Papastergios, M. Chini, I. Parcharidis
A. Papastergios, M. Chini, I. Parcharidis


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. 


Flood mapping; SAR, Evros; Hydrology

Full Text:



Chini, M., Pulvirenti, L. and Pierdicca, N., 2012. Analysis and interpretation of the COSMOSkyMed

observations of the 2011 Japan Tsunami, IEEE Geosci. Remote Sens. Lett., 9(3),


Chini, M., Piscini, A., Cinti, F.R., Amici, S., Nappi, R. and De Martini, P.M., 2013. The 2011

Tohoku-Oki (Japan) tsunami inundation and liquefaction investigated by optical, thermal and

SAR data, IEEE Geosciences and Remote Sensing Letters, 10(2), 347-351.

Chini, M., Albano, M., Saroli, M., Pulvirenti, L., Moro, M., Bignami, C., Falcucci, E., Gori, S.,

Modoni, G., Pierdicca, N. and Stramondo, S., 2015. Co-seismic liquefaction phenomenon

analysis by COSMO-SkyMed: 2012 Emilia (Italy) earthquake, International Journal of

Applied Earth Observation and Geoinformation, 39, 65-78.

Chini, M., Hostache, R., Giustarini, L. and Matgen, P., Under Review. A Hierarchical Split-Based

Approach (HSBA) for automatically mapping flooded areas using SAR images of variable

size and resolution, IEEE Transactions on Geoscience and Remote Sensing.

Franceschetti, G., Iodice, A. and Riccio, D., 2002. A canonical problem in electromagnetic

backscattering from buildings, IEEE Trans. Geosci. Remote Sens., 40(8), 1787-1801.

Hess, L.L., Melack, J.M. and Simonett, D.S., 1990. Radar detection of flooding beneath the forest

canopy: A review, Int. J. Remote Sens., 11, 1313-1325.

Pulvirenti, L., Pierdicca, N., Chini, M. and Guerriero, L., 2011. An algorithm for operational flood

mapping from synthetic aperture radar (SAR) data based on the fuzzy logic, Nat. Hazards

Earth Syst. Sci., 11, 529-540.

Pulvirenti, L., Pierdicca, N., Chini, M. and Guerriero, L., 2013. Monitoring flood evolution in

vegetated areas using COSMO-SkyMed data: The Tuscany2009 case study, IEEE J. Sel.

Topics Appl. Earth Observ. Remote Sens., 6(4), 1807-1816.

Pulvirenti, L.,Chini, M., Pierdicca, N. and Boni, G., 2016. Use of SAR data for detecting floodwater

in urban and suburban areas: the role of the interferometric coherence, IEEE Transactions on

Geoscience and Remote Sensing, doi: 10.1109/TGRS.2015.2482001.


  • There are currently no refbacks.

Copyright (c) 2017 A. Papastergios, M. Chini, I. Parcharidis

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.