Abstract

Multi-sensor, multi-band and multi-temporal remote sensing data can be very useful in precise flood monitoring. In this paper, we describe DAFNE, a Matlab (R)-based, open source toolbox, to produce flood maps from remotely sensed and other ancillary information, through a data fusion approach. DAFNE is based on Bayesian Networks, and is composed of several independent modules, each one performing a different task. Multi-temporal and multi-sensor data can be easily handled, with the possibility of producing time series of output flood maps, and thus follow the evolution of single or recurrent flood events. Here, an application of the toolbox is illustrated to delineate a flood map, close to the peak of inundation occurred in April 2015 on the Strymonas river (Greece), from multi-band optical and SAR data.

Autore Pugliese

• Refice Alberto , D'addabbo Annarita , Lovergine Francesco , Pasquariello Guido

Tutti gli autori

• Refice A.; D'Addabbo A.; Pasquariello G.; Lovergine F.

Titolo volume/Rivista

IEEE International Geoscience and Remote Sensing Symposium proceedings

Anno di pubblicazione

2018

ISSN

2153-6996

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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