The present study investigates an oil spill event in the Al Khafji region using Sentinel 1 SAR images. Al Khafji is on the border between Saudi Arabia and Kuwait in the Persian Gulf and it is considered a neutral zone. Al Khafji region has the potential to produce more than 470,000 barrels of oil per day (Mbbl/d). Methods based on multi sensor satellite images (Sentinel-2, Landsat 8, Terra, Cosmo_SkyMed, RADARSAT, etc.) analysis have been developed for detecting oil slicks from known natural seeps as well as oil spill events. In this paper, one of these methods is applied to Sentinel 1 images of a known area of natural oil outflow and of a recent oil spill event in Al Khafji zone. The Synthetic Aperture Radar (SAR) is recognized as the most important remote sensing tool for sea and ocean waters oil spill monitoring, recording, documentation and dissemination. Oil spills have been detected and characterized by using the SAR images over the Persian Gulf. In particular, this paper discusses oil spills detection in the Persian Gulf assessed by using Sentinel 1 (SAR) images. Results showed the suitability of the VV polarization of the Sentinel-1 for detecting oil-spills as well as the reduced utility of the VH polarization in this context.

Mapping sea water surface in Persian Gulf, oil spill detection using Sentinal-1 images / Majidinezhad, M.; Groppi, D.; Marzialetti, P.; Piras, G.; Laneve, G.. - (2018), pp. 1-6. (Intervento presentato al convegno 4th World Congress on New Technologies, NEWTECH 2018 tenutosi a Madrid; Spain) [10.11159/icepr18.179].

Mapping sea water surface in Persian Gulf, oil spill detection using Sentinal-1 images

MajidiNezhad, M.;Groppi, D.;Marzialetti, P.;Piras, G.;Laneve, G.
2018

Abstract

The present study investigates an oil spill event in the Al Khafji region using Sentinel 1 SAR images. Al Khafji is on the border between Saudi Arabia and Kuwait in the Persian Gulf and it is considered a neutral zone. Al Khafji region has the potential to produce more than 470,000 barrels of oil per day (Mbbl/d). Methods based on multi sensor satellite images (Sentinel-2, Landsat 8, Terra, Cosmo_SkyMed, RADARSAT, etc.) analysis have been developed for detecting oil slicks from known natural seeps as well as oil spill events. In this paper, one of these methods is applied to Sentinel 1 images of a known area of natural oil outflow and of a recent oil spill event in Al Khafji zone. The Synthetic Aperture Radar (SAR) is recognized as the most important remote sensing tool for sea and ocean waters oil spill monitoring, recording, documentation and dissemination. Oil spills have been detected and characterized by using the SAR images over the Persian Gulf. In particular, this paper discusses oil spills detection in the Persian Gulf assessed by using Sentinel 1 (SAR) images. Results showed the suitability of the VV polarization of the Sentinel-1 for detecting oil-spills as well as the reduced utility of the VH polarization in this context.
2018
4th World Congress on New Technologies, NEWTECH 2018
oil spill; sea and ocean monitoring; Sentinel 1; Synthetic Aperture Radar (SAR); biotechnology; energy engineering and power technology; biomedical engineering; electrical and electronic engineering; mechanical engineering; management, monitoring, policy and law; pollution; electronic, optical and magnetic materials
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Mapping sea water surface in Persian Gulf, oil spill detection using Sentinal-1 images / Majidinezhad, M.; Groppi, D.; Marzialetti, P.; Piras, G.; Laneve, G.. - (2018), pp. 1-6. (Intervento presentato al convegno 4th World Congress on New Technologies, NEWTECH 2018 tenutosi a Madrid; Spain) [10.11159/icepr18.179].
File allegati a questo prodotto
File Dimensione Formato  
Nezhad_Mapping_2018.pdf

accesso aperto

Note: https://avestia.com/proceeding/proceedings-of-the-4th-world-congress-on-new-technologies/
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 497.97 kB
Formato Adobe PDF
497.97 kB Adobe PDF

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/11573/1186750
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? ND
social impact