Version 1
: Received: 29 May 2018 / Approved: 30 May 2018 / Online: 30 May 2018 (08:40:38 CEST)
Version 2
: Received: 20 July 2018 / Approved: 27 July 2018 / Online: 27 July 2018 (06:19:37 CEST)
How to cite:
Nunziata, F.; Buono, A.; Migliaccio, M. COSMO--SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. Preprints2018, 2018050442. https://doi.org/10.20944/preprints201805.0442.v1
Nunziata, F.; Buono, A.; Migliaccio, M. COSMO--SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. Preprints 2018, 2018050442. https://doi.org/10.20944/preprints201805.0442.v1
Nunziata, F.; Buono, A.; Migliaccio, M. COSMO--SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. Preprints2018, 2018050442. https://doi.org/10.20944/preprints201805.0442.v1
APA Style
Nunziata, F., Buono, A., & Migliaccio, M. (2018). COSMO--SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. Preprints. https://doi.org/10.20944/preprints201805.0442.v1
Chicago/Turabian Style
Nunziata, F., Andrea Buono and Maurizio Migliaccio. 2018 "COSMO--SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill" Preprints. https://doi.org/10.20944/preprints201805.0442.v1
Abstract
Oil spills are adverse events that may be very harmful to ecosystems and food chain. In particular, large sea oil spills are very dramatic occurrence often affecting sea and coastal areas. Therefore the sustainability of oil rig infrastructures and oil transportation via oil tankers are linked to law enforcement based on proper monitoring techniques which are also fundamental to mitigate the impact of such pollution. Within this context, in this study a meaningful showcase is analyzed using remotely sensed measurements collected by by Synthetic Aperture Radar (SAR) satellites. The Deepwater Horizon (DWH) oil accident that occurred in the Gulf of Mexico in 2010 is here analyzed. It is one of the world's largest accidental oil pollution event that affected a sea area larger than 10,000 km2. In this study we exploit SAR data collected by the Italian COSMO--SkyMed (CSK) X--band SAR constellation showing the key benefits of multi--polarization HH--VV SAR measurements in observing such a huge oil pollution event.
Keywords
sea; remote sensing; oil pollution
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
