Title :
Statistical analysis of polarimetric characteristics for oil spill classification: The special case of DWH
Author :
Migliaccio, Maurizio ; Nunziata, Ferdinando ; Yu Li ; Hui Lin ; Yuanzhi Zhang
Author_Institution :
Dipt. di Ing., Univ. di Napoli Parthenope, Naples, Italy
Abstract :
In this paper a polarimetric SAR data study is undertaken over the critical and peculiar case of the Deepwater Horizon (DWH) oil spill accident occurred in the Gulf of Mexico in 2010. It is a complex case that still calls for deeper physical/chemical characterization due to its special nature. Such an oil spill accident is in fact related to a deep/ultra-deep sea drilling, that although of paramount interest in gas and oil exploitation, need special care and safety actions to manage high oil pressure and potential vast environmental oil spill long-term and short-term impact.
Keywords :
marine pollution; ocean composition; oceanographic regions; statistical analysis; AD 2010; DWH case; Gulf-of-Mexico; chemical characterization; deepwater horizon oil spill accident; oil pressure; oil spill classification; physical characterization; polarimetric SAR data study; polarimetric characteristics; statistical analysis; ultradeep sea drilling; Damping; Feature extraction; Remote sensing; Scattering; Sea surface; Surface cleaning; Synthetic aperture radar; Oil spill; Polarimetry; Synthetic Aperture Radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947020