The COSMO-SkyMed mission offers a unique opportunity to obtain all weather radar images characterized by short revisit time, thus being useful for flood evolution mapping. The COSMO-SkyMed system has been activated several times in the last few years in occasion of flood events all over the world in order to provide very high resolution X-band SAR images useful for flood detection purposes. This paper discusses the major outcomes of the experience gained, within the framework of the OPERA Pilot Project funded by the Italian Space Agency, from using COSMO-SkyMed data for the purpose of near real time generation of flood maps. A review of the mechanisms which determine the imprints of the inundation on the radar images and of the fundamental simulation tools able to predict these imprints and help image interpretation is provided. The approach developed to process the data and to generate the flood maps is also summarized. Then, the paper illustrates the experience gained with COSMO-SkyMed by describing and discussing a number of significant examples. These examples demonstrate the potential of the COSMO-SkyMed system and the suitability of the approach developed for generating the final products, but they also highlight some critical aspects that require further investigations to improve the reliability of the flood maps. (C) 2012 IAA. Published by Elsevier Ltd. All rights reserved.

Observing floods from space: Experience gained from COSMO-SkyMed observations / Pierdicca, Nazzareno; Pulvirenti, Luca; M., Chini; L., Guerriero; L., Candela. - In: ACTA ASTRONAUTICA. - ISSN 0094-5765. - STAMPA. - 84:(2013), pp. 122-133. [10.1016/j.actaastro.2012.10.034]

Observing floods from space: Experience gained from COSMO-SkyMed observations

PIERDICCA, Nazzareno;PULVIRENTI, Luca;
2013

Abstract

The COSMO-SkyMed mission offers a unique opportunity to obtain all weather radar images characterized by short revisit time, thus being useful for flood evolution mapping. The COSMO-SkyMed system has been activated several times in the last few years in occasion of flood events all over the world in order to provide very high resolution X-band SAR images useful for flood detection purposes. This paper discusses the major outcomes of the experience gained, within the framework of the OPERA Pilot Project funded by the Italian Space Agency, from using COSMO-SkyMed data for the purpose of near real time generation of flood maps. A review of the mechanisms which determine the imprints of the inundation on the radar images and of the fundamental simulation tools able to predict these imprints and help image interpretation is provided. The approach developed to process the data and to generate the flood maps is also summarized. Then, the paper illustrates the experience gained with COSMO-SkyMed by describing and discussing a number of significant examples. These examples demonstrate the potential of the COSMO-SkyMed system and the suitability of the approach developed for generating the final products, but they also highlight some critical aspects that require further investigations to improve the reliability of the flood maps. (C) 2012 IAA. Published by Elsevier Ltd. All rights reserved.
2013
hydrology; microwave remote sensing; cosmo skymed; image processing; flood mapping; synthetic aperture radar
01 Pubblicazione su rivista::01a Articolo in rivista
Observing floods from space: Experience gained from COSMO-SkyMed observations / Pierdicca, Nazzareno; Pulvirenti, Luca; M., Chini; L., Guerriero; L., Candela. - In: ACTA ASTRONAUTICA. - ISSN 0094-5765. - STAMPA. - 84:(2013), pp. 122-133. [10.1016/j.actaastro.2012.10.034]
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/507277
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 102
  • ???jsp.display-item.citation.isi??? 96
social impact