Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1080/01431161.2012.727494 (literal)

Alternative label

• Giacomo De Carolis, Maria Adamo, Guido Pasquariello, Diana De Padova, Michele Mossa (2013)
  Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study
  in International journal of remote sensing (Print)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Giacomo De Carolis, Maria Adamo, Guido Pasquariello, Diana De Padova, Michele Mossa (literal)

Pagina inizio

• 1838 (literal)

Pagina fine

• 1854 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.tandfonline.com/doi/abs/10.1080/01431161.2012.727494 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 34 (literal)

Rivista

• International journal of remote sensing (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 5 (literal)

Note

• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR, Politecnico di Bari (literal)

Titolo

• Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study (literal)

Abstract

• Near-infrared (NIR) satellite images of the oil spill event caused by the Fu Shan Hai wreck on 31 May 2003 in the waters between Sweden and Denmark were compared with numerical simulations provided by the MIKE 21 oil drift model. Assuming a skewed probability density function (pdf) of oil parcel thicknesses, a model of the NIR image oil-water contrast reflectance was developed to characterize the expected oil slick distribution in terms of average and maximum oil slick thickness. Since MIKE 21 Spill Analysis (SA) also allows non-uniform distribution of oil volume within the oil slick, both distributions were thus compared by coincidence of the Moderate Resolution Imaging Spectroradiometer (MODIS/Aqua) acquisition, which imaged the oil slick 3 days after the oil spill started. Results showed an excellent agreement in the numerical values of both the expected average and the maximum thickness. In addition, repartition of the oil volume within the slick in the usual thin (sheen) and thick (brown) parts resulted, consistent with the empirical rule of 20% and 80% of the total oil volume, respectively. (literal)

Prodotto di

• Istituto per il rilevamento elettromagnetico dell'ambiente (IREA) (Istituto)
• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Studio e Sviluppo di metodologie osservative da piattaforme in situ, aeree e satellitari per il monitoraggio ambientale (TA.P06.024.001) (Modulo)

Autore CNR

• GUIDO PASQUARIELLO (Unità di personale interno)
• MARIA ADAMO (Unità di personale esterno)
• GIACOMO DE CAROLIS (Persona)

Insieme di parole chiave

• Keywords of "Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Istituto per il rilevamento elettromagnetico dell'ambiente (IREA) (Istituto)
• Studio e Sviluppo di metodologie osservative da piattaforme in situ, aeree e satellitari per il monitoraggio ambientale (TA.P06.024.001) (Modulo)

Autore CNR di

• GUIDO PASQUARIELLO (Unità di personale interno)
• GIACOMO DE CAROLIS (Persona)
• MARIA ADAMO (Unità di personale esterno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• International journal of remote sensing (Rivista)

Insieme di parole chiave di

• Keywords of "Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study" (Insieme di parole chiave)