The increasingly occurrence of flood events claims our capacity to enhance risk reduction and damage mitigation. The current large availability of satellite data constitutes a fundamental resource for disciplines such as fluvial geomorphology and hydrology that exploit the new technologies and techniques to develop innovative approaches for improving flood phenomenon investigation. The present work, extracted from a PhD thesis, describes the application of advanced analyses and data integrations to detect and to monitor flood events. The new data fusion methodologies are tested in various areas, at different spatial and temporal scales, in various surface conditions. The results (flood extent maps, geomorphic index maps, flood inundation maps, etc.) demonstrate the advantage to use complementary information sources and the progress in addressing scientific research towards the production of operational systems.

Advanced analysis and integration of remote sensing and in situ data for flood monitoring

Zingaro, M
2021-01-01

Abstract

The increasingly occurrence of flood events claims our capacity to enhance risk reduction and damage mitigation. The current large availability of satellite data constitutes a fundamental resource for disciplines such as fluvial geomorphology and hydrology that exploit the new technologies and techniques to develop innovative approaches for improving flood phenomenon investigation. The present work, extracted from a PhD thesis, describes the application of advanced analyses and data integrations to detect and to monitor flood events. The new data fusion methodologies are tested in various areas, at different spatial and temporal scales, in various surface conditions. The results (flood extent maps, geomorphic index maps, flood inundation maps, etc.) demonstrate the advantage to use complementary information sources and the progress in addressing scientific research towards the production of operational systems.
File in 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/11586/374331
 Attenzione

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

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
social impact