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Proceedings Paper

Detection and monitoring of oil spills using hyperspectral imagery
Author(s): Glenda Sanchez; William E. Roper; Richard B. Gomez
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Paper Abstract

Oil pollution is a very important aspect in the environmental field. Oil pollution is an important subject due to its capacity to adversely affect animals, aquatic life, vegetation and drinking water. The movement of open water oil spills can be affected by mind, waves and tides. Land based oil spills are often affected by rain and temperature. It is important to have an accurate management of the cleanup. Remote sensing and in particular hyper-spectral capabilities, are being use to identify oil spills and prevent worse problems. In addition to this capability, this technology can be used for federal and state compliance of petroleum related companies. There are several hyper-spectral sensors used in the identification of oil spills. One commonly use sensor is the Airborne Imaging Spectroradiometer for Applications (AISA). The main concern associated with the use of these sensors is the potential for false identification of oil spills. The use of AISA to identify an oil spill over the Patuxent River is an example of how this tool can assist with investigating an oil pipeline accident, and its potential to affect the surrounding environment. A scenario like this also serves as a good test of the accuracy with which spills may be identified using new airborne sensors.

Paper Details

Date Published: 14 August 2003
PDF: 8 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.502593
Show Author Affiliations
Glenda Sanchez, George Washington Univ. (United States)
William E. Roper, George Washington Univ. (United States)
Richard B. Gomez, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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