Title :
On MODIS Retrieval of Oil Spill Spectral Properties in the Marine Environment
Author :
Bulgarelli, Barbara ; Djavidnia, Samuel
Author_Institution :
Joint Res. Centre of the Eur. Comm., Ispra, Italy
fDate :
5/1/2012 12:00:00 AM
Abstract :
With its two daily acquisitions and the possibility to obtain near-real-time data free of charge, the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) shows interesting potential as a cost-effective supplementary tool for oil spill monitoring in the marine environment. The mechanism behind MODIS oil feature detection, as well as the type of information that might be retrieved, strictly depends on the illumination conditions. In the presence of sunglint contamination, MODIS can just locate the oil spill as a sea surface roughness anomaly, in similarity with radar observations, and no additional spectral information can be retrieved. MODIS detection in the absence of sunglint contamination however might allow extraction of oil feature spectral properties, which, in turn, may help in oil discrimination and classification. Careful atmospheric correction must be applied. An example of oil spill spectral property extraction from MODIS images is here shown for the Deepwater Horizon accidental oil spill.
Keywords :
data acquisition; feature extraction; geophysical image processing; image retrieval; marine pollution; oceanographic techniques; remote sensing by radar; MODIS image; MODIS oil feature detection; MODIS retrieval process; NASA Moderate Resolution Imaging Spectroradiometer; atmospheric correction; cost-effective supplementary tool; deepwater horizon accidental oil spill; illumination condition; marine environment; near-real-time data acquisitions; oil discrimination process; oil feature spectral properties; oil spill monitoring method; oil spill spectral properties; oil spill spectral property extraction; sea surface roughness anomaly; spectral information analysis; sunglint contamination analysis; Feature extraction; MODIS; Optical sensors; Optical surface waves; Remote sensing; Sea surface; Water pollution; Atmospheric corrections; oceans; oil pollution; optical remote sensing;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2011.2169647